by YK Sugi

Hi everyone!

The other day, I visited D-Wave Systems in Vancouver, Canada. Its a company that makes cutting-edge quantum computers.

I got to learn a lot about quantum computers there, so Id like to share some of what I learned there with you in this article.

The goal of this article is to give you an accurate intuition of what a quantum computer is using a simple example.

This article will not require you to have prior knowledge of either quantum physics or computer science to be able to understand it.

Okay, lets get started.

Edit (Feb 26, 2019): I recently published a video about the same topic on my YouTube channel. I would recommend watching it (click here) before or after reading this article because I have added some additional, more nuanced arguments in the video.

Here is a one-sentence summary of what a quantum computer is:

There is a lot to unpack in this sentence, so let me walk you through what it is exactly using a simple example.

To explain what a quantum computer is, Ill need to first explain a little bit about regular (non-quantum) computers.

Now, a regular computer stores information in a series of 0s and 1s.

Different kinds of information, such as numbers, text, and images can be represented this way.

Each unit in this series of 0s and 1s is called a bit. So, a bit can be set to either 0 or 1.

A quantum computer does not use bits to store information. Instead, it uses something called qubits.

Each qubit can not only be set to 1 or 0, but it can also be set to 1 and 0. But what does that mean exactly?

Let me explain this with a simple example. This is going to be a somewhat artificial example. But its still going to be helpful in understanding how quantum computers work.

Now, suppose youre running a travel agency, and you need to move a group of people from one location to another.

To keep this simple, lets say that you need to move only 3 people for now Alice, Becky, and Chris.

And suppose that you have booked 2 taxis for this purpose, and you want to figure out who gets into which taxi.

Also, suppose here that youre given information about whos friends with who, and whos enemies with who.

Here, lets say that:

And suppose that your goal here is to divide this group of 3 people into the two taxis to achieve the following two objectives:

Okay, so this is the basic premise of this problem. Lets first think about how we would solve this problem using a regular computer.

To solve this problem with a regular, non-quantum computer, youll need first to figure out how to store the relevant information with bits.

Lets label the two taxis Taxi #1 and Taxi #0.

Then, you can represent who gets into which car with 3 bits.

For example, we can set the three bits to 0, 0, and 1 to represent:

Since there are two choices for each person, there are 2*2*2 = 8 ways to divide this group of people into two cars.

Heres a list of all possible configurations:

A | B | C0 | 0 | 00 | 0 | 10 | 1 | 00 | 1 | 11 | 0 | 01 | 0 | 11 | 1 | 01 | 1 | 1

Using 3 bits, you can represent any one of these combinations.

Now, using a regular computer, how would we determine which configuration is the best solution?

To do this, lets define how we can compute the score for each configuration. This score will represent the extent to which each solution achieves the two objectives I mentioned earlier:

Lets simply define our score as follows:

(the score of a given configuration) = (# friend pairs sharing the same car) - (# enemy pairs sharing the same car)

For example, suppose that Alice, Becky, and Chris all get into Taxi #1. With three bits, this can be expressed as 111.

In this case, there is only one friend pair sharing the same car Alice and Becky.

However, there are two enemy pairs sharing the same car Alice and Chris, and Becky and Chris.

So, the total score of this configuration is 1-2 = -1.

With all of this setup, we can finally go about solving this problem.

With a regular computer, to find the best configuration, youll need to essentially go through all configurations to see which one achieves the highest score.

So, you can think about constructing a table like this:

A | B | C | Score0 | 0 | 0 | -10 | 0 | 1 | 1 <- one of the best solutions0 | 1 | 0 | -10 | 1 | 1 | -11 | 0 | 0 | -11 | 0 | 1 | -11 | 1 | 0 | 1 <- the other best solution1 | 1 | 1 | -1

As you can see, there are two correct solutions here 001 and 110, both achieving the score of 1.

This problem is fairly simple. It quickly becomes too difficult to solve with a regular computer as we increase the number of people in this problem.

We saw that with 3 people, we need to go through 8 possible configurations.

What if there are 4 people? In that case, well need to go through 2*2*2*2 = 16 configurations.

With n people, well need to go through (2 to the power of n) configurations to find the best solution.

So, if there are 100 people, well need to go through:

This is simply impossible to solve with a regular computer.

How would we go about solving this problem with a quantum computer?

To think about that, lets go back to the case of dividing 3 people into two taxis.

As we saw earlier, there were 8 possible solutions to this problem:

A | B | C0 | 0 | 00 | 0 | 10 | 1 | 00 | 1 | 11 | 0 | 01 | 0 | 11 | 1 | 01 | 1 | 1

With a regular computer, using 3 bits, we were able to represent only one of these solutions at a time for example, 001.

However, with a quantum computer, using 3 qubits, we can represent all 8 of these solutions at the same time.

There are debates as to what it means exactly, but heres the way I think about it.

First, examine the first qubit out of these 3 qubits. When you set it to both 0 and 1, its sort of like creating two parallel worlds. (Yes, its strange, but just follow along here.)

In one of those parallel worlds, the qubit is set to 0. In the other one, its set to 1.

Now, what if you set the second qubit to 0 and 1, too? Then, its sort of like creating 4 parallel worlds.

In the first world, the two qubits are set to 00. In the second one, they are 01. In the third one, they are 10. In the fourth one, they are 11.

Similarly, if you set all three qubits to both 0 and 1, youd be creating 8 parallel worlds 000, 001, 010, 011, 100, 101, 110, and 111.

This is a strange way to think, but it is one of the correct ways to interpret how the qubits behave in the real world.

Now, when you apply some sort of computation on these three qubits, you are actually applying the same computation in all of those 8 parallel worlds at the same time.

So, instead of going through each of those potential solutions sequentially, we can compute the scores of all solutions at the same time.

With this particular example, in theory, your quantum computer would be able to find one of the best solutions in a few milliseconds. Again, thats 001 or 110 as we saw earlier:

A | B | C | Score0 | 0 | 0 | -10 | 0 | 1 | 1 <- one of the best solutions0 | 1 | 0 | -10 | 1 | 1 | -11 | 0 | 0 | -11 | 0 | 1 | -11 | 1 | 0 | 1 <- the other best solution1 | 1 | 1 | -1

In reality, to solve this problem, you would need to give your quantum computer two things:

Given these two things, your quantum computer will spit out one of the best solutions in a few milliseconds. In this case, thats 001 or 110 with a score of 1.

Now, in theory, a quantum computer is able to find one of the best solutions every time it runs.

However, in reality, there are errors when running a quantum computer. So, instead of finding the best solution, it might find the second-best solution, the third best solution, and so on.

These errors become more prominent as the problem becomes more and more complex.

So, in practice, you will probably want to run the same operation on a quantum computer dozens of times or hundreds of times. Then pick the best result out of the many results you get.

Even with the errors I mentioned, the quantum computer does not have the same scaling issue a regular computer suffers from.

When there are 3 people we need to divide into two cars, the number of operations we need to perform on a quantum computer is 1. This is because a quantum computer computes the score of all configurations at the same time.

When there are 4 people, the number of operations is still 1.

When there are 100 people, the number of operations is still 1. With a single operation, a quantum computer computes the scores of all 2 ~= 10 = one million million million million million configurations at the same time.

As I mentioned earlier, in practice, its probably best to run your quantum computer dozens of times or hundreds of times and pick the best result out of the many results you get.

However, its still much better than running the same problem on a regular computer and having to repeat the same type of computation one million million million million million times.

Special thanks to everyone at D-Wave Systems for patiently explaining all of this to me.

D-Wave recently launched a cloud environment for interacting with a quantum computer.

If youre a developer and would like actually to try using a quantum computer, its probably the easiest way to do so.

Its called Leap, and its at https://cloud.dwavesys.com/leap. You can use it for free to solve thousands of problems, and they also have easy-to-follow tutorials on getting started with quantum computers once you sign up.

Footnote:

See original here:

What is a quantum computer? Explained with a simple example.

- Delivers 127 qubits on a single IBM quantum processor for the first time with breakthrough packaging technology

- New processor furthers IBM's industry-leading roadmaps for advancing the performance of its quantum systems

- Previews design for IBM Quantum System Two, a next generation quantum system to house future quantum processors

Nov 16, 2021

ARMONK, N.Y., Nov. 16, 2021 /PRNewswire/ --IBM (NYSE: IBM) today announced its new 127-quantum bit (qubit) 'Eagle' processor at the IBM Quantum Summit 2021, its annual event to showcase milestones in quantum hardware, software, and the growth of the quantum ecosystem. The 'Eagle' processor is a breakthrough in tapping into the massive computing potential of devices based on quantum physics. It heralds the point in hardware development where quantum circuits cannot be reliably simulated exactly on a classical computer. IBM also previewed plans for IBM Quantum System Two, the next generation of quantum systems.

Quantum computing taps into the fundamental quantum nature of matter at subatomic levels to offer the possibility of vastly increased computing power. The fundamental computational unit of quantum computing is the quantum circuit, an arrangement of qubits into quantum gates and measurements. The more qubits a quantum processor possesses, the more complex and valuable the quantum circuits that it can run.

IBM recently debuted detailed roadmaps for quantum computing, including a path for scaling quantum hardwareto enable complex quantum circuits to reach Quantum Advantage, the point at which quantum systems can meaningfully outperform their classical counterpoints. Eagle is the latest step along this scaling path.

IBM measures progress in quantum computing hardware through three performance attributes: Scale, Quality and Speed. Scale is measured in the number of qubits on a quantum processor and determines how large of a quantum circuit can be run. Quality is measured by Quantum Volume and describes how accurately quantum circuits run on a real quantum device. Speed is measured by CLOPS(Circuit Layer Operations Per Second), a metric IBM introduced in November 2021, and captures the feasibility of running real calculations composed of a large number of quantum circuits.

127-qubit Eagle processor

'Eagle' is IBM's first quantum processor developed and deployed to contain more than 100 operational and connected qubits. It follows IBM's 65-qubit 'Hummingbird' processor unveiled in 2020 and the 27-qubit 'Falcon' processor unveiled in 2019. To achieve this breakthrough, IBM researchers built on innovations pioneered within its existing quantum processors, such as a qubit arrangement design to reduce errors and an architecture to reduce the number of necessary components. The new techniques leveraged within Eagle place control wiring on multiple physical levels within the processor while keeping the qubits on a single layer, which enables a significant increase in qubits.

The increased qubit count will allow users to explore problems at a new level of complexity when undertaking experiments and running applications, such as optimizing machine learning or modeling new molecules and materials for use in areas spanning from the energy industry to the drug discovery process. 'Eagle' is the first IBM quantum processor whose scale makes it impossible for a classical computer to reliably simulate. In fact, the number of classical bits necessary to represent a state on the 127-qubit processor exceeds the total number of atoms in the more than 7.5 billion people alive today.

"The arrival of the 'Eagle' processor is a major step towards the day when quantum computers can outperform classical computers for useful applications," said Dr. Daro Gil, Senior Vice President, IBM and Director of Research. "Quantum computing has the power to transform nearly every sector and help us tackle the biggest problems of our time. This is why IBM continues to rapidly innovate quantum hardware and software design, building ways for quantum and classical workloads to empower each other, and create a global ecosystem that is imperative to the growth of a quantum industry."

The first 'Eagle' processor is available as an exploratory device on the IBM Cloud to select members of the IBM Quantum Network.

For a more technical description of the 'Eagle' processor, read this blog.

IBM Quantum System Two

In 2019, IBM unveiled IBM Quantum System One, the world's first integrated quantum computing system. Since then, IBM has deployed these systems as the foundation of its cloud-based IBM Quantum services in the United States, as well as in Germany for Fraunhofer-Gesellschaft, Germany's leading scientific research institution, in Japan for the University of Tokyo, and a forthcoming system in the U.S. at Cleveland Clinic. In addition, we announced today a new partnership with Yonsei University in Seoul, South Korea, to deploy the first IBM quantum system in the country. For more details, click here.

As IBM continues scaling its processors, they are expected to mature beyond the infrastructure of IBM Quantum System One. Therefore, we're excited to unveil a concept for the future of quantum computing systems: IBM Quantum System Two. IBM Quantum System Two is designed to work with IBM's future 433-qubit and 1,121 qubit processors.

"IBM Quantum System Two offers a glimpse into the future quantum computing datacenter, where modularity and flexibility of system infrastructure will be key towards continued scaling," said Dr. Jay Gambetta, IBM Fellow and VP of Quantum Computing. "System Two draws on IBM's long heritage in both quantum and classical computing, bringing in new innovations at every level of the technology stack."

Central to IBM Quantum System Two is the concept of modularity. As IBM progresses along its hardware roadmap and builds processors with larger qubit counts, it is vital that the control hardware has the flexibility and resources necessary to scale. These resources include control electronics, which allow users to manipulate the qubits, and cryogenic cooling, which keeps the qubits at a temperature low enough for their quantum properties to manifest.

IBM Quantum System Two's design will incorporate a new generation of scalable qubit control electronics together with higher-density cryogenic components and cabling. Furthermore, IBM Quantum System Two introduces a new cryogenic platform, designed in conjunction with Bluefors, featuring a novel, innovative structural design to maximize space for the support hardware required by larger processors while ensuring that engineers can easily access and service the hardware.

In addition, the new design brings the possibility to provide a larger shared cryogenic work-space ultimately leading to the potential linking of multiple quantum processors. The prototype IBM Quantum System Two is expected to be up and running in 2023.

Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only.

About IBMFor more information, visit: https://research.ibm.com/quantum-computing.

ContactHugh CollinsIBM Research CommunicationsHughdcollins@ibm.com

Kortney EasterlyIBM Research CommunicationsKortney.Easterly@ibm.com

SOURCE IBM

See the article here:

IBM Unveils Breakthrough 127-Qubit Quantum Processor

Another record has been broken on the way to fully operational and capable quantum computers: the complete control of a 6-qubit quantum processor in silicon.

Researchers are calling it "a major stepping stone" for the technology.

Qubits (or quantum bits) are the quantum equivalents of classical computing bits, only they can potentially process much more information. Thanks to quantum physics, they can be in two states at once, rather than just a single 1 or 0.

The difficulty is in getting a lot of qubits to behave as we need them to, which is why this jump to six is important. Being able to operate them in silicon the same material used in today's electronic devices makes the technology potentially more viable.

"The quantum computing challenge today consists of two parts," says quantum computing researcher Stephan Philips from the Delft University of Technology in the Netherlands. "Developing qubits that are of good enough quality, and developing an architecture that allows one to build large systems of qubits."

"Our work fits into both categories. And since the overall goal of building a quantum computer is an enormous effort, I think it is fair to say we have made a contribution in the right direction."

The qubits are made from individual electrons fixed in a row, 90 nanometers apart (a human hair is around 75,000 nanometers in diameter). This line of 'quantum dots' is placed in silicon, using a structure similar to the transistors used in standard processors.

By making careful improvements to the way the electrons were prepared, managed, and monitored, the team was able to successfully control their spin the quantum mechanical property that enables the qubit state.

The researchers were also able to create logic gates and entangle systems of two or three electrons, on demand, with low error rates.

Researchers used microwave radiation, magnetic fields, and electric potentials to control and read electron spin, operating them as qubits, and getting them to interact with each other as required.

"In this research, we push the envelope of the number of qubits in silicon, and achieve high initialization fidelities, high readout fidelities, high single-qubit gate fidelities, and high two-qubit state fidelities," says electrical engineer Lieven Vandersypen, also from the Delft University of Technology.

"What really stands out though is that we demonstrate all these characteristics together in one single experiment on a record number of qubits."

Up until this point, only 3-qubit processors have been successfully built in silicon and controlled up to the necessary level of quality so we're talking about a major step forward in terms of what's possible in this type of qubit.

There are different ways of building qubits including on superconductors, where many more qubits have been operated together and scientists are still figuring out the method that might be the best way forward.

The advantage of silicon is that the manufacturing and supply chains are all already in place, meaning the transition from a scientific laboratory to an actual machine should be more straightforward. Work continues to keep pushing the qubit record even higher.

"With careful engineering, it is possible to increase the silicon spin qubit count while keeping the same precision as for single qubits," says electrical engineer Mateusz Madzik from the Delft University of Technology.

"The key building block developed in this research could be used to add even more qubits in the next iterations of study."

The research has been published in Nature.

View original post here:

There's a New Quantum Computing Record: Control of a 6-Qubit Processor in Silicon - ScienceAlert

The idea of using the laws of quantum mechanics for computation was proposed in 1982 by Richard Feynman. But Deutschwho is at the University of Oxford, UKis often credited with establishing the conceptual foundations of the discipline. Computer bits that obey quantum principles, such as superposition and entanglement, can carry out some calculations much faster and more efficiently than ones that obey classical rules. In 1985 Deutsch postulated that a device made from such quantum bits (qubits) could be made universal, meaning it could simulate any quantum system. Deutsch framed his proposal in the context of the many worlds interpretation of quantum mechanics (of which he is an advocate), likening the process of one quantum computation to that of many parallel computations occurring simultaneously in entangled worlds.

To motivate further work in quantum computing, researchers at the time needed problems that a quantum computer could uniquely solve. I remember conversations in the early 1990s in which people would argue about whether quantum computers would ever be able to do anything really useful, says quantum physicist William Wootters of Williams College, Massachusetts, who has worked with Bennett and Brassard on quantum cryptography problems. Then suddenly Peter Shor devised a quantum algorithm that could indeed do something eminently useful.

In 1995 Shor, who is now at the Massachusetts Institute of Technology, developed an algorithm that could factorize large integersdecompose them into products of primesmuch more efficiently than any known classical algorithm. In classical computation, the time that it takes to factorize a large number increases exponentially as the number gets larger, which is why factorizing large numbers provides the basis for todays methods for online data encryption. Shors algorithm showed that for a quantum computer, the time needed increases less rapidly, making factorizing large numbers potentially more feasible. This theoretical demonstration immediately injected energy into the field, Wootters says. Shor has also made important contributions to the theory of quantum error correction, which is more challenging in quantum than in classical computation (see Focus: LandmarksCorrecting Quantum Computer Errors).

Without Deutsch and Shor we would not have the field of quantum computation as we know it today, says quantum theorist Artur Ekert of the University of Oxford, who considers Deutsch his mentor. David defined the field, and Peter took it to an entirely different level by discovering the real power of quantum computation and by showing that it actually can be done.

Data encryption is the topic cited for the award of Bennett (IBMs Thomas J. Watson Research Center in Yorktown Heights, New York) and Brassard (University of Montreal, Canada). In 1984 the pair described a protocol in which information could be encoded in qubits and sent between two parties in such a way that the information could not be read by an eavesdropper without that intervention being detected. Like quantum computing, this quantum cryptographic scheme relies on entangling qubits, meaning that their properties are interdependent, no matter how far apart they are separated. This BB84 protocol and similar quantum encryption schemes have now been used for secure transmission of data along optical networks and even via satellite over thousands of kilometers (see Focus: Intercontinental, Quantum-Encrypted Messaging and Video).

In 1993 Bennett and Brassard also showed how entanglement may be harnessed for quantum teleportation, whereby the state of one qubit is broadcast to another distant one while the original state is destroyed (see Focus: LandmarksTeleportation is not Science Fiction). This process too has applications in quantum information processing.

I am really gratified by this award because it recognizes the field of quantum information and computation, Shor says. Deutsch echoes the sentiment: Im glad that [quantum information] is now officially regarded as fundamental physics rather than as philosophy, mathematics, computer science, or engineering.

Deutsch, Shor, Bennett, and Brassard deserve recognition for their work, and Im delighted that theyre getting it, Wootters says. He notes that their research not only inspired the development of quantum technologies, but also influenced new research in quantum foundations. Quantum information theory views quantum theory through a novel lens and opens up a new perspective from which to address foundational questions.

Read more from the original source:

Physics - Breakthrough Prize for the Physics of Quantum Informationand of Cells - Physics

Nearly all schools have computer-based classes, but many dont offer even foundational classes on programming, let alone advanced computing.

A 2022 study by the Code.org Advocacy Coalition found that 53.4% of Ohio high school students attend a school that offers foundational computer science classes such as basic programming. However, only 22% of urban school districts offered foundational computer science courses compared to 57% of suburban schools.

In 2019, Ohio was ranked 37th among all 50 states in the number of college computer science graduates, as a percentage of total college graduates at all levels (Kentucky was ranked 1st), and 44th in growth in number of computer science graduates over five years, according to data from the U.S. Census Bureau.

Ohio updates curriculum

Ohio recently invested heavily in changing this. Last month, the Ohio State Board of Education approved an updated Model Curriculum for Computer Science. The 400 pages of guidance for local districts recommends students as early as kindergarten learning to protect passwords and understand the basics of artificial intelligence, and high schoolers using cybersecurity concepts like cluster computing and quantum key distribution.

The change represents a dramatic update from previous educational standards, initiated by the state last year. Ohio currently has over 20,000 open computer science positions, said Bryan Stewart, workforce director at the Montgomery County Educational Service Center. As Ohio prepares to welcome tech manufacturing giants like Intel, that gap may get worse.

Thats a question that we play with when we look at the future of Ohios workforce, Stewart said. We have to ask ourselves, Will Dayton, will the Miami Valley be a haven for startups? Will we see tech companies born out of the minds of our kids? If we want that to be a reality, if we want venture capital to speed into Ohio, you cant do that unless you teach kids about computer science.

Stebbins High School in the Mad River School District takes a different approach. Many classes through the schools Career Technology Program incorporate computer science in a tangential way, such as engineering and robotics, or graphic design and digital media. Students learn to work with several systems, such as SolidWorks, AutoCAD, and Adobe Photoshop, said Career Tech Director and Assistant Principal Jeff Berk.

We also have career tech courses at our middle school, Berk said, adding that the state of Ohio supports career tech education. We are able to stay up to industry standards within all of our programs, and making sure our students are prepared, and what theyre going to see (in the workplace), they had the chance to see it here.

In recent years, Mad River discontinued a cybersecurity career path based on lack of enrollment and student interest, Berk said, in favor of a Teacher Academy. However, juniors and seniors can also participate in the Tech Prep program, where students do hands-on IT work throughout the building, troubleshooting everything from printers to student laptops.

Obstacles to improvement

Improving computer science education faces several hurdles. One issue governments have grappled with is that the field evolves so quickly that its difficult for educators to keep up, even at the local level.

I think we do the best we can. But computer science changes so quickly. Its not like math where algebra is the same now as it was 100 years ago, Schultz said. Now weve got standard things like quantum computing and artificial intelligence and machine learning, things that werent even spoken of five years ago. So its tough for schools, tough for anybody with a limited budget, to try and stay on top of that.

The State Committee on Computer Science, formed by this years state budget, outlined 10 recommendations in August that, if implemented, would help make Ohio a national leader in computer science education and workforce pipeline, state officials said. Among these include a commitment by the state to fund computer science courses at 1% of the K-12 funding formula, about $94 million today, in future years, as well as making a single credit computer science course a high school graduation requirement.

Funding is important because hardware that educators have access to sometimes lags behind what is used in the industry, Berk said.

A lot of times in education, the access to technology that students have sometimes is outdated, he said. Thats one of the major challenges. Especially in high school, when they go out into to the workforce, that theyre having that opportunity to work with machines and computers that are going to be at the same level

Finding teachers is also huge problem, as often individuals who are qualified to teach the next generation about computer science have no financial incentive to do so.

The majority of them realize that they can go out and find a job in the industry and make double what they would make as a teacher, said Schultz.

Minorities, girls lag

To address teacher shortages, the state committee recommended Teach CS grants that fund training for teachers to obtain computer science licensure, and establishing an Office of Computer Science to support the over 600 Ohio school districts in implementing their own computer science programs.

Stebbins Teacher Academy was created both to address the teacher shortage in the general K-12 sphere and supply a program that matched students interests, Berk said.

Were doing what we can do to help supply the region with the workers that we need for all the different professions, he said.

The states Model Curriculum also includes provisions for equitable access to computer science education. Schools in lower-income neighborhoods and schools with large numbers of minority students often offer only rudimentary user skills rather than problem-solving and computational thinking, according to the curriculum.

Among students who took the Advanced Placement Computer Science exam in 2020, only 6% of students were Black or African American, 16% were Hispanic or Latino and 0.5% were Native American, according to data from the College Board, which administers AP tests.

Female students are also underrepresented in high school computer science classes, accounting for just 34% of AP Computer Science Principles participants and 25% of AP Computer Science A participants, per College Board data. During the 2020-21 school year, female students accounted for only 27% of over 3,700 AP Computer Science exams taken in Ohio.

In order to reach female and minority students, the state board recommends using examples that are equally relevant to both males and females, and tying problems to students everyday lives.

Particularly for young learners and beginners, visual, block-based programming languages help address language and syntax barriers, according to state documents.

Getting more girls and minority students into coding is useful, not just for creating a diverse workforce, but for addressing the huge need for computer-savvy people in todays industry. After-school programs like Girls Who Code also are working to bridge this gap, but the model curriculum aims to tackle these problems inside the classroom.

Private sector companies, the industry side of things, they really want to see a more diverse workforce. But theyre never going to have them unless we start earlier and try to start breaking down some of these barriers or perceptions, Stewart said.

Original post:

Schools get creative with computer science teaching as Ohios state standards try to keep with the times - Dayton Daily News

Quantum Computing Market Insights 2022 By Types (Simulation, Optimization, Sampling), Applications (Defense, Banking & Finance, Energy & Power, Chemicals, Healthcare & Pharmaceuticals, Others), By Segmentation, Regions and Forecast to 2027. This report provides exclusive information on vital statistics, trends, and competitive landscape.

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The global Quantum Computing market size was valued at USD 494.02 million in 2021 and is expected to expand at a CAGR of 25.06% during the forecast period, reaching USD 1890.42 million by 2027.

Quantum computing is computing using quantum-mechanical phenomena, such as superposition and entanglement. A quantum computer is a device that performs quantum computing. Such a computer is different from binary digital electronic computers based on transistors. Whereas common digital computing requires that the data be encoded into binary digits (bits), each of which is always in one of two definite states (0 or 1), quantum computation uses quantum bits or qubits, which can be in superpositions of states. A quantum Turing machine is a theoretical model of such a computer, and is also known as the universal quantum computer.

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Client Focus

Does this report consider the impact of COVID-19 and the Russia-Ukraine war on the Quantum Computing market?Yes. As the COVID-19 and the Russia-Ukraine war are profoundly affecting the global supply chain relationship and raw material price system, we have definitely taken them into consideration throughout the research, and in Chapters 1.7, 2.7, 4.X.1, 7.5, 8.7, we elaborate at full length on the impact of the pandemic and the war on the Quantum Computing Industry.

How do you determine the list of the key players included in the report?With the aim of clearly revealing the competitive situation of the industry, we concretely analyze not only the leading enterprises that have a voice on a global scale but also the regional small and medium-sized companies that play key roles and have plenty of potential growth.Please find the key player list in the Summary.

What are your main data sources?Both Primary and Secondary data sources are being used while compiling the report.Primary sources include extensive interviews of key opinion leaders and industry experts (such as experienced front-line staff, directors, CEOs, and marketing executives), downstream distributors, as well as end-users.Secondary sources include the research of the annual and financial reports of the top companies, public files, new journals, etc. We also cooperate with some third-party databases.Please find a more complete list of data sources in Chapters 11.2.1 and 11.2.2.

TO KNOW HOW COVID-19 PANDEMIC AND RUSSIA UKRAINE WAR WILL IMPACT THIS MARKET REQUEST SAMPLE

Some of the key questions answered in this report:

Following Chapter Covered in the Quantum Computing Market Research:

Chapter 1 mainly defines the market scope and introduces the macro overview of the industry, with an executive summary of different market segments ((by type, application, region, etc.), including the definition, market size, and trend of each market segment.

Chapter 2 provides a qualitative analysis of the current status and future trends of the market. Industry Entry Barriers, market drivers, market challenges, emerging markets, consumer preference analysis, together with the impact of the COVID-19 outbreak will all be thoroughly explained.

Chapter 3 analyzes the current competitive situation of the market by providing data regarding the players, including their sales volume and revenue with corresponding market shares, price, and gross margin. In addition, information about market concentration ratio, mergers, acquisitions, and expansion plans will also be covered.

Chapter 4 focuses on the regional market, presenting detailed data (i.e., sales volume, revenue, price, gross margin) of the most representative regions and countries in the world.

Chapter 5 provides the analysis of various market segments according to product types, covering sales volume, revenue market share, and growth rate, plus the price analysis of each type.

Chapter 6 shows the breakdown data of different applications, including the consumption and revenue with market share and growth rate, with the aim of helping the readers to take a close-up look at the downstream market.

Chapter 7 provides a combination of quantitative and qualitative analyses of the market size and development trends in the next five years. The forecast information of the whole, as well as the breakdown market, offers the readers a chance to look into the future of the industry.

Chapter 8 is the analysis of the whole market industrial chain, covering key raw materials suppliers and price analysis, manufacturing cost structure analysis, alternative product analysis, also providing information on major distributors, downstream buyers, and the impact of the COVID-19 pandemic.

Chapter 9 shares a list of the key players in the market, together with their basic information, product profiles, market performance (i.e., sales volume, price, revenue, gross margin), recent development, SWOT analysis, etc.

Chapter 10 is the conclusion of the report which helps the readers, sum up, the main findings and points.

Chapter 11 introduces the market research methods and data sources.

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Years considered for this report:

Detailed TOC of Quantum Computing Market Forecast Report 2022-2027:

1 Quantum Computing Market Overview1.1 Product Overview and Scope of Quantum Computing Market1.2 Quantum Computing Market Segment by Type1.2.1 Global Quantum Computing Market Sales Volume and CAGR (%) Comparison by Type (2017-2027)1.3 Global Quantum Computing Market Segment by Application1.3.1 Quantum Computing Market Consumption (Sales Volume) Comparison by Application (2017-2027)1.4 Global Quantum Computing Market, Region Wise (2017-2027)1.4.1 Global Quantum Computing Market Size (Revenue) and CAGR (%) Comparison by Region (2017-2027)1.4.2 United States Quantum Computing Market Status and Prospect (2017-2027)1.4.3 Europe Quantum Computing Market Status and Prospect (2017-2027)1.4.4 China Quantum Computing Market Status and Prospect (2017-2027)1.4.5 Japan Quantum Computing Market Status and Prospect (2017-2027)1.4.6 India Quantum Computing Market Status and Prospect (2017-2027)1.4.7 Southeast Asia Quantum Computing Market Status and Prospect (2017-2027)1.4.8 Latin America Quantum Computing Market Status and Prospect (2017-2027)1.4.9 Middle East and Africa Quantum Computing Market Status and Prospect (2017-2027)1.5 Global Market Size of Quantum Computing (2017-2027)1.5.1 Global Quantum Computing Market Revenue Status and Outlook (2017-2027)1.5.2 Global Quantum Computing Market Sales Volume Status and Outlook (2017-2027)1.6 Global Macroeconomic Analysis1.7 The impact of the Russia-Ukraine war on the Quantum Computing Market

2 Industry Outlook2.1 Quantum Computing Industry Technology Status and Trends2.2 Industry Entry Barriers2.2.1 Analysis of Financial Barriers2.2.2 Analysis of Technical Barriers2.2.3 Analysis of Talent Barriers2.2.4 Analysis of Brand Barrier2.3 Quantum Computing Market Drivers Analysis2.4 Quantum Computing Market Challenges Analysis2.5 Emerging Market Trends2.6 Consumer Preference Analysis2.7 Quantum Computing Industry Development Trends under COVID-19 Outbreak2.7.1 Global COVID-19 Status Overview2.7.2 Influence of COVID-19 Outbreak on Quantum Computing Industry Development

3 Global Quantum Computing Market Landscape by Player3.1 Global Quantum Computing Sales Volume and Share by Player (2017-2022)3.2 Global Quantum Computing Revenue and Market Share by Player (2017-2022)3.3 Global Quantum Computing Average Price by Player (2017-2022)3.4 Global Quantum Computing Gross Margin by Player (2017-2022)3.5 Quantum Computing Market Competitive Situation and Trends

4 Global Quantum Computing Sales Volume and Revenue Region Wise (2017-2022)4.1 Global Quantum Computing Sales Volume and Market Share, Region Wise (2017-2022)4.2 Global Quantum Computing Revenue and Market Share, Region Wise (2017-2022)4.3 Global Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.4 United States Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.5 Europe Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.6 China Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.7 Japan Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.8 India Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.9 Southeast Asia Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.10 Latin America Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)4.11 Middle East and Africa Quantum Computing Sales Volume, Revenue, Price and Gross Margin (2017-2022)

5 Global Quantum Computing Sales Volume, Revenue, Price Trend by Type5.1 Global Quantum Computing Sales Volume and Market Share by Type (2017-2022)5.2 Global Quantum Computing Revenue and Market Share by Type (2017-2022)5.3 Global Quantum Computing Price by Type (2017-2022)5.4 Global Quantum Computing Sales Volume, Revenue and Growth Rate by Type (2017-2022)

6 Global Quantum Computing Market Analysis by Application6.1 Global Quantum Computing Consumption and Market Share by Application (2017-2022)6.2 Global Quantum Computing Consumption Revenue and Market Share by Application (2017-2022)6.3 Global Quantum Computing Consumption and Growth Rate by Application (2017-2022)

7 Global Quantum Computing Market Forecast (2022-2027)7.1 Global Quantum Computing Sales Volume, Revenue Forecast (2022-2027)7.1.1 Global Quantum Computing Sales Volume and Growth Rate Forecast (2022-2027)7.1.2 Global Quantum Computing Revenue and Growth Rate Forecast (2022-2027)7.1.3 Global Quantum Computing Price and Trend Forecast (2022-2027)7.2 Global Quantum Computing Sales Volume and Revenue Forecast, Region Wise (2022-2027)7.3 Global Quantum Computing Sales Volume, Revenue and Price Forecast by Type (2022-2027)7.4 Global Quantum Computing Consumption Forecast by Application (2022-2027)

8 Quantum Computing Market Upstream and Downstream Analysis8.1 Quantum Computing Industrial Chain Analysis8.2 Key Raw Materials Suppliers and Price Analysis8.3 Manufacturing Cost Structure Analysis8.3.1 Labor Cost Analysis8.3.2 Energy Costs Analysis8.3.3 RandD Costs Analysis8.4 Alternative Product Analysis8.5 Major Distributors of Quantum Computing Analysis8.6 Major Downstream Buyers of Quantum Computing Analysis8.7 Impact of COVID-19 and the Russia-Ukraine war on the Upstream and Downstream in the Quantum Computing Industry

Continued

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Quantum Computing Market Growth Trends 2022-2027 Business Development Plans, Regional Segments Analysis, Opportunities and Challenges, Industry Size...

We live in a world characterised by inequality, poverty, economic volatility, globalisation, climate change and ambiguity. In my own country, South Africa, residents have to navigate socioeconomic and political instability, power and water cuts, homelessness, unethical governance and mediocre or no service delivery.

It is a far cry from what the country could be if we brought its best talent and resources to bear for the benefit of humanity.

Innovation will be key to any positive changes and research-intensive universities have a central to play in that innovation. As the University of the Witwatersrand (or Wits, as its commonly known) turns 100, my colleagues and I have been thinking a great deal about the inventions and breakthroughs that have emerged from the university in the past 100 years and what is coming next.

Great innovations have emerged from the work done by Wits researchers that have shifted the dial in sectors ranging from health to computing to quantum and nuclear physics. These rich seams of knowledge continue to inform policy and daily decisions and are the foundation of cutting edge research the institution continues to produce.

On 1 September 1939, Adolf Hitler invaded Poland. World War 2 was underway. Barely three months later, the first radar set was tested on Wits Universitys campus. Britain and its allies were looking for a way to detect enemy aircraft and ships. A group of scientists among them Sir Basil Schonland, Director of the Bernard Price Institute of Geophysical Research and another Wits engineer, Professor Guerino Bozzoli came together to harness the power of radio waves.

Almost a century on, the science of sensors has taken several quantum leaps. Professor Andrew Forbes and his team at Wits are encrypting, transmitting, and decoding data quickly and securely through light beams. He has just secured R54 million for the Wits Quantum Initiative which explores theoretical and experimental quantum science and engineering, secure communications, enhanced quantum-inspired imaging, novel nano and quantum-based sensors and devices.

The university has also come a long way on its computing journey. In 1960 it was the first university in South Africa to own an IBM mainframe computer. Today, in partnership with IBM, were the first African university to access a quantum computer.

Read more: New research proves the long-held theory that lasers can create fractals

As the Chair of the National Quantum Computing Working Group in South Africa, this is an area where I see immense potential for Africa. Classical computing has served society incredibly well. It gave us the Internet and cashless commerce. It sent humans to the moon, put robots on Mars and smartphones in our pockets.

But many of the worlds biggest mysteries and potentially greatest opportunities remain beyond the grasp of classical computers. To continue the pace of progress, we need to augment the classical approach with a completely new paradigm, one that follows its own set of rules - quantum computing.

This radically new way of performing computer calculations is exponentially faster than any classical computer. It can run new algorithms to solve previously unsolvable problems in optimisation, chemistry and machine learning, and its applications are far-reaching from physics to healthcare.

Innovative healthcare is sorely needed across the African continent. Here, too, Wits has been able to play a vital role in the research, teaching and learning, clinical, social and advocacy spheres. It was the first university to lead COVID-19 vaccination trials in South Africa.

Our researchers also developed technology to improve the accurate testing for tuberculosis. And the Pelebox, an invention to cut down the time that patients spend waiting for medication in hospitals.

Elsewhere in the institution, researchers have connected the brain to the internet, used brainwaves to control a robotic prosthetic hand and developed an affordable 3D printed bionic hand.

Research intensive universities in South Africa need to ask the difficult questions about their role in a changing society.

How do we serve as a catalyst for social change? How do we best use our intellectual dynamism and work with the public and private sectors to effect positive change? How do we create new, relevant knowledge and translate it into innovation? How do we best develop critical thinkers, innovators, creators and the high-level skills required to advance our economy, and the future world of work?

How do we quantify our social impact and ensure that it is contextually attuned? How do we influence policy change?

These questions are at the heart of the universitys strategy today. And theyre no doubt being considered across the higher education sector as universities work to harness their collective talent and the resources at their disposal to craft a new future and transform society for the benefit of all humanity.

View original post here:

100 years of innovation and inventions: South African vice chancellor reflects on what's next - The Conversation

When you get in from work and its the dark, or wake up to a chilly, drizzly morning, it can be difficult to find the drive to get some exercise in, whether its making your way to the gym, heading out for a run or going to a class.

With decreased serotonin due to the reduction in sunlight, and increased melatonin from the darker nights, you may be feeling groggy, tired and uninspired, but actually, getting out and exercising could help with this.

According to personal trainer and nutrition coach at The Rhi Club, Rhianna Crisp, "As the chilly, sometimes gloomy autumn days start to creep in, its common for us to lose our motivation as quickly as were losing sunlight.

"When it comes to our health and fitness, we cant always rely on motivation, but rather that drive, discipline, and habits youve built. Saying that, there are a few ways to help you re-light that fire in your belly and get you motivated to keep working on yourself."

"Its important this winter in particular to think about cost and safety, so prioritise group activities outdoors and free classes or exercise," says Crisp.

Regaining that motivation is possible with a few simple habits.

1. Make a plan

According to fitness expert and director of Geezers Boxing, Leon Bolmeer, "Following a consistent routine you enjoy will help create both a boost in energy and optimism, as well as a willingness to want to exercise. Try to make exercise into a habit and plan your social life around your workout plans. We advise you to plan sessions for when you are least likely to abandon the idea."

2. Give team sports a go

"Team exercise adds competition and the social element to exercise. Most of us are motivated by social interaction, and people often go to the gym or sports clubs because their friends are there, and its highly motivating," says Bolmeer.

3. Do what you actually enjoy

Keeping motivated is hard if you dont love the exercise you are doing.

Bolmeer explains: "This sounds obvious, but when it comes to exercise, its crucial you pick something you enjoy. Enjoying your exercise will increase the chances of long-term adherence. The best type of exercise is often a mix of activities you enjoy and are motivated to stick with. Some people get bored with the same exercise day after day, whereas others prefer a routine."

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4. Give group runs a go

Joining a running club or local event may encourage you to get out running with a focus on safety in numbers if they run at night, too.

Crisp is a big advocate for Saturday Park Runs.

"Dont let the word run scare you. Park Run is basically an entirely free event that happens every Saturday at 9am in your local park. For October and beyond, you can run, jog, walk, plod your way around having a chat with your besties, or meet some new people! Its a great way to get outside, get off your phone and get some exercise in. All you need to do is sign up on their website to get your personal barcode, which you scan at the end to get your time."

This could be the motivation you need to compete with yourself for a Saturday PB all winter.

5. Set a performance goal and write it down

Crisp knows how tricky it can be to stick with it.

"Back in the first lockdown winter, my gym closed for months, and I got myself into a right slump. I was looking for anything quick and easy to get me moving and motivated again. So, I decided I wanted to be able to do a handstand. Every evening, Id practise for about 15 minutes, ensuring I was pushing myself a little closer each day. Three weeks in, I got my first handstand. It could be anything from a 60-second plank hold to skipping for 20 jumps without getting tangled."

And hold yourself accountable.

"No matter how small or big. Write your goals down. Grab a bit of paper, or open the notes page in your phone and write down three things you want to achieve by Christmas." says Crisp.

6. Prepare everything in advance

"Make exercise as frictionless as possible by prepping everything the night before: plan your workout, your route to the gym, put your workout gear and work clothes out, your toiletries and even prep the playlist or podcast youll listen to. In short, the less you have to decide in the morning, the easier it is to get up and get out," says Matt Boyles, a personal trainer who runs Fitter Confident You.

Read the original here:
6 ways to find workout motivation as days get shorter and colder - RTE.ie

INDIANAPOLIS Jelani Woods has an easy smile, an affable personality, the wide-eyed elation of a rookie finally realizing his dream.

But he is not living a charmed life.

This was always the destination.

From growing up on the southeast side of Atlanta, through a position change at Oklahoma State and a risky graduate transfer to Virginia, Woods has made every decision with the NFL in mind.

With his family in mind.

Everything I went through, the adversity I faced my whole life, that pretty much sticks in the back of my head, Woods said. Trying to be the backbone of my family.

Colts' offensive rookies taking advantage of playing time

Indianapolis Colts wide receiver Alex Pierce discusses the young receiving talent on the team.

Clark Wade, Indianapolis Star

Woods is the youngest of three boys, born into a tight-knit, sports-obsessed family in Ellenwood, Ga. that spent a lot of its precious free time going up to Atlanta to watch the Falcons (and now Colts quarterback Matt Ryan), both at training camp and in the Georgia Dome.

When he was five or six, Woods would walk around the house in shoulder pads and football pants, putting up a royal fit if his parents, Greg and Shaheerah, tried to get him to put on normal clothes.

We finally got him to stop wearing the helmet all the time, Greg said. Wed try to get him to take the shoulder pads off, but hed be screaming.

Woods grew up quickly.

He had to.

Colts vs Titans preview:NFL Week 4 picks: Colts vs Titans odds in AFC South matchup

As close as the family was, Greg and Shaheerah both worked long hours, Shaheerah on the business side of Childrens Healthcare Atlanta, Greg in refrigeration and air for Kroger. Because of his job, Greg was often on the road.

Woods and the middle brother, Jaleel, had to help out around the house, and with their oldest brother, Javaric.

Javaric is moderately intellectually disabled. According to Greg, his oldest son needs help with daily activities like getting dressed, getting meals and taking showers.

Hes pretty much not able to take care of himself, so the whole family had to pitch in, especially since my parents worked all the time, Woods said. That left me in charge at times in middle school, high school.

By their own admission, the Woods family did not have unlimited resources, but Greg and Shaheerah made sure their sons could focus on sports, on pursuing their dreams of earning a college scholarship. Their middle son, Jaleel, does not have his younger brothers 6-7 frame, but he had the athleticism.

A talent on the baseball and football fields, Jaleel seemed to be on the same track as his brother until an unusual revelation contributed to the end of his athletic career.

When Jaleel was young, hed often walk off the field after games looking a little uncomfortable, scratching at his arms; but it was never bad enough that it became an issue, not until a game in high school.

Jaleel felt sick on the sideline, started breaking out. By the time he got in the family car, he had hives all over his body.

He was allergic, Greg said. It was a pesticide, something they used on the grass.

A combination of the allergy, and a loss of motivation ended Jaleels athletic career.

That left the youngest son, the one who kept growing like an oak tree.

I was talking about this with my brother the other day, Greg said. My brothers 6-1, Im 6-2. My wifes 5-9. It has to be from somebody else down the line.

Because of that height, Woods initially thought hed pursue basketball his height made him a dominant force on the court growing up and he played all the way through high school.

But the attention Woods wanted started coming his way on the football field. Back then, Woods was a massive quarterback, a three-star recruit accurate enough to complete more than 60% of his throws as a three-year starter and lead Cedar Grove to the first state championship in the schools history.

Colts injury report, how to watch game:Colts vs Titans primer: What you should know heading into Week 4

Woods knew he wanted to play at the next level, and he learned an important lesson from his high school coach, Jimmy Smith, who is now the running backs coach at Arkansas.

Be flexible.

There might be one goal but there is more than one way to get there.

My high school coach, he kind of wanted me to do both, be both pro-style and dual-threat at the same, tried to maneuver (to get as many offers as possible), Woods said. I was a quarterback who could play in any system.

A talented high school recruit might choose a college destination for any one of a dozen reasons.

A programs prestige. A relationship with an assistant coach. A desire to stay close to home, or alternately, a desire to get away from home and see a little more of the world.

Woods chose Oklahoma State for a reason that sounds a lot more like something from NFL free agency.

The offensive scheme, Woods said. They threw the ball a lot, thats kind of how I liked it. Their offense reminded me of my high school offense.

Woods spent most of his redshirt season in Stillwater as a quarterback on the scout team, wondering when hed get his chance to play. Before the Cowboys final game of the regular season, the Bedlam Series against Oklahoma, the coaches came to Woods with a request.

The Cowboys needed somebody to play Sooners tight end Mark Andrews now a star with the Baltimore Ravens in practice.

Woods had the size-speed combination they needed.

Then he went out and torched Oklahoma States defense in practice all week long, turning the wheels in the coaching staffs mind. Buried on the depth chart at quarterback, Woods might be able to help the Cowboys at a different spot.

Colts mailbag:How to fix the o-line? Should the o-line change? About the o-line?

They asked him to move to tight end.

Hed always been a quarterback. Handed the same situation, a lot of players would have transferred, tried to find a school where they could play the games most important position.

But Woods had his eyes on the future.

The proposition they gave me was enticing, Woods said. They were like, If you want to make like $10 million in two years, we think youll be really good at tight end, and well really use you.' That kind of buzzes in your head a little bit.

The Oklahoma State coaches ended up being right though Woods had to leave Stillwater to make good on everything they promised.

Three years after making the switch to tight end, Woods had plenty of playing time under his belt, an extensive tutorial as a blocker and a degree in management.

A chance to catch passes was missing. An afterthought in Oklahoma States passing game, Woods had caught only 31 passes in three seasons. At 6-7, 260 pounds and as fast as some wide receivers, Woods knew he had the physical tools to make a run at the NFL.

But he needed the tape to show NFL teams he could be a weapon as a receiver.

That was the idea going into it, Woods said. I knew, going to the next level, I had to show a little bit of an ability to catch the ball at a high level.

Woods dove into the tape again.

When he watched the film of Virginias 2020 season, he saw former Cavaliers tight end Tony Poljan catch 38 passes and six touchdowns, and Virginia coach Robert Anae was telling Woods that the team wanted to expand the tight ends role in the passing game.

Woods believed he could be even better than Poljan.

When he showed up, it was apparent that there was an internal motivation thats different from the other guys sitting there, Anae said. It was clear to us: This kid is way motivated to become something.

From the moment he arrived on Virginias campus, Woods did everything right. The study, the strength and conditioning, the way hed try to make the most of every play and every tip the coaches gave him, acting every bit like a mature, driven player whod learned how to prepare like a professional over his years in college.

Except that the motivation the Cavaliers saw in Woods runs deeper than his age.

My experience is age is not a qualifier for that, Anae said. In fact, a lot of times at that age, youve already demonstrated who you are by that point in your career. Day 1, we had somebody whos very, very special.

Woods exceeded his three years totals at Oklahoma State in his only season at Virginia, making 44 catches for 598 yards and 8 touchdowns.

Deeper dive into Colts game vs. Chiefs:Why rookie Colts safety Nick Cross only played 1 snap against Chiefs

The night before Woods ran the 40-yard dash at the NFL scouting combine, Steve Caric saw something special in the way Woods approaches big moments.

Caric, Woodss agent, has been in Indianapolis for a lot of 40-yard dashes. Nerves are common, almost expected.

Woods, on the other hand, had a deep sense of confidence, an unshakeable belief that he was going to turn peoples heads the next day.

Woods tore through the 40-yard dash in a blistering 4.61 seconds, a remarkable time for a man who measured 6-7, 259 pounds, sending himself flying up draft boards in conjunction with his performance at the East-West Shrine Game.

Caric expected the physical numbers. An experienced agent who counts Zach Ertz, Dalton Schultz and Austin Hooper among his clients, Caric could tell Woods was a special kind of athlete for the position.

The self-confidence Woods showed was a revelation.

Its something I wish they all had, Caric said.

Confidence is critical in the NFL. Caric has seen too many players shaken by a loss of confidence, crippled by doubt.

Woods has always had it, a sense of expectation that hes going to make it at this level.

The Colts used a third-round pick on him, hoping to land the downfield threat at tight end that head coach Frank Reich has long coveted but he got off to a slow start in training camp. His confidence, however, wasnt shaken. Woods talks to his dad almost every day, and Greg admits that his son talked about how hard it was to absorb everything the Colts needed him to do, but Woods always believed hed get it eventually.

He was putting in the work. When he got back to the room he shared with fellow tight end Drew Ogletree, the two rookies spent the time going through the entire practice script for the next day, trying to make sure they were as prepared as possible.

Woods initially fell behind Ogletree on the depth chart.

His confidence, still, remained undaunted, supported by a family that had already seen Woods achieve a dream that could have gone wrong at several different points in his road to the NFL.

They know, Woods said. It might start slow. That doesnt matter. Im always going to overcome.

The Woods family had just gotten home from church on Sunday, settling into their seats, when the ball slipped through Kansas City punt returner Skyy Moores hands.

Greg saw his son go into the game.

The excitement started to build. A diehard Falcons fan, Greg and his sons had spent the last decade and a half watching Matt Ryan play, and he knew the Colts new starting quarterback likes to look for the tight end in the end zone.

When Woods made his first catch, a 1-yard touchdown in the back of the end zone, the Woods family exploded.

I jumped so far out of my chair, Greg said. I had people calling me, texting me, I was talking to my son, it was just unbelievable. My son just caught his first NFL touchdown, and it came from Matt Ryan?

Ogletree went crazy from his spot in the press box.

The rookie knows the playbook. When he saw his roommate go into the game, Ogletree immediately predicted Woods was going to score a touchdown, and he knew how much it meant to Woods, why the rookie tight end exploded in joy.

Honestly, hes here to prove everybody wrong, and also, the people in his corner, to prove everybody right, Ogletree said. Hey, Im supposed to be here. This is what Im supposed to be doing.

Woods made an even bigger catch later, beating Kansas City safety Juan Thornhill across the end zone on a crossing route for the game-winning touchdown catch with 24 seconds left. A jubilant Reich exploded in the locker room, excited about his rookie tight end.

Welcome to the NFL, Jelani Woods! Reich said.

Hes always believed hed be here.

Right where he always planned to be.

Go here to see the original:
Colts: Rookie Jelani Woods has the motivation to match this moment - IndyStar

MEMPHIS, Tenn. (WREG) With four receiving touchdowns heading into week five, Caden Prieskorn ranks as one of the top tight ends in the nation.

When he scores, he points to the sky because he hasnt had the easiest road on his journey to crossing the goal-line.

It definitely brings joy to me, said Prieskorn. The last couple of years, like going through the struggles, the adversity, and like overcoming it this year. Its got to keep building on it.

Prieskorn had been a quarterback his entire life, prepping at Orchard Lake in Michigan before enrolling at Fork Union Military Academy.

Out of high school, I really didnt have nothing, you know, when I got to Fort Union I broke my foot. So, like, I was just like, I just want to play football. So whatever I can do. And then I just decide to do it.

And by do it, he means walk on at the U of M and transforming his body from that of a quarterback to a tight end, packing on 40 pounds.

It was the physicality that was the toughest hurdle to overcome, but he had Tigers greats Joey Magnifico and Sean Dykes in his corner.

He taught me a lot like like the position, a lot like the blocking the the route running, like because he played the position. I never even played it when I got here.

Seeing the people that like walked on here like the Calvin Austins, when I first got here Joey was a walk on so like seeing them do it gave me confidence. Like, maybe I can do that. And ever since then, I was just like, I want to, I want to get to what theyre doing. And I just cant believe it in myself and working every day.

And now Prieskorn has another motivator, his 13-month-old son Mack.

I like my little baby son, like hes my world now, said Prieskorn. So, like, I want him to I want to set a good example for him.

We always ask our guys, whats their why, Ryan Silverfield said during his weekly presser. And hes got a little bit different why now. And not that has changed the way he works, because hes always worked hard. But, sometimes when you know, man I have to do great I have to do things the right way.

Its definitely awesome seeing [Prieskorns son], like seeing him after the game. I try to look him before the game, but hes he doesnt want to sit still. So hes up there walking them. But yeah, its always brings joy.

It also brings joy to see his father, Jerry, whos battling colon cancer, able to watch him play even if he cant make the 12-hour trip to Memphis.

I feel like we keep him busy, like him watching me on Saturday and my brother on Friday, Prieskorn said. So, like, all that, he doesnt really think about the stuff going on. He just thinks about football and like, cause I have a little sister, another brother, so hes just thinking about us all the time. So we keep him busy, we keep him occupied.

Prieskorn has always envisioned the success hes having for himself. Hes hoping to give his dad a touchdown in his fourth straight game Saturday against Temple.

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From QB to TE, the motivation behind Caden Prieskorns success - WREG NewsChannel 3