ARMONK, N.Y., May 7, 2021 /PRNewswire/ --IBM (NYSE: IBM) announced today it has extended its IBM Global University Program with historically black colleges and universities (HBCUs) to 40 schools.

IBM is now working with the American Association of Blacks in Higher Education (AABHE), 100 Black Men of America, Inc., Advancing Minorities' Interest in Engineering (AMIE) and the United Negro College Fund (UNCF) to better prepare HBCU students for in-demand jobs in the digital economy.

In parallel, the IBM Institute for Business Value released a new reportwith broad-ranging recommendations on how businesses can cultivate more diverse, inclusive workforces by establishing similar programs and deepening engagement with HBCUs.

IBM's HBCU program momentum has been strong in an environment where only 43% of leaders across industry and academia believe higher education prepares students with necessary workforce skills.* In September 2020, IBM announced the investment of $100 million in assets, technology and resources to HBCUs across the United States. Through IBM Global University Programs, which include the continuously enhanced IBM Academic Initiative and IBM Skills Academy, IBM has now:

Building on this work, IBM and key HBCU ecosystem partners are now collaborating to expedite faculty and student access and use of IBM's industry resources.

In its new report, "Investing in Black Technical Talent: The Power of Partnering with HBCUs," IBM describes how HBCUs succeed in realizing their mission and innovate to produce an exceptional talent pipeline, despite serious funding challenges. IBM explains its approach to broad-based HBCU collaboration with a series of best-practices for industry organizations.

IBM's series of best practices include:

To download the full report, please visit: LINK.

HBCU students continue to engage with IBM on a wide range of opportunities. These include students taking artificial intelligence, cybersecurity or cloud e-learning courses and receiving a foundational industry badge certificate in four hours. Many also attend IBM's virtual student Wednesday seminars with leading experts, such as IBM neuroscientists who discuss the implications of ethics in neurotechnology.

Statements from Collaborators "HBCUs typically deliver a high return on investment. They have less money in their endowments, faculty is responsible for teaching a larger volume of classes per term and they receive less revenue per student than non-HBCUs. Yet, HBCUs produce almost a third of all African-American STEM graduates,"** said Valinda Kennedy, HBCU Program Manager, IBM Global University Programs and co-author of "Investing in Black Technical Talent: The Power of Partnering with HBCUs.""It is both a racial equity and an economic imperative for U.S. industry competitiveness to develop the most in-demand skills and jobs for all students and seek out HBCU students who are typically underrepresented in many of the most high-demand areas."

"100 Black Men of America, Inc. is proud to collaboratewith IBM to deliver these exceptional and needed resources to the HBCU community and students attending these institutions. The 100 has long supported and sought to identify mechanisms that aid in the sustainability of historically black colleges and universities. This collaboration and the access and opportunities provided by IBM will make great strides in advancing that goal," stated 100 Black Men of America Chairman Thomas W. Dortch, Jr.

"The American Association of Blacks in Higher Education is proud to collaborate with IBM," said Dereck Rovaris, President, AABHE. "Our mission to be the premier organization to drive leadership development, access and vital issues concerning Blacks in higher education works perfectly with IBM's mission to lead in the creation, development and manufacture of the industry's most advanced information technologies.Togetherthis collaboration will enhance both organizations and the many people we serve."

"IBM is a strong AMIE partnerwhose role is strategic and support is significant in developing a diverse engineering workforce through AMIE and our HBCU community.IBM's presence on AMIE's Board of Directors provides leadership for AMIE's strategies,key initiatives and programsto achieve our goal of a diverse engineering workforce," said Veronica Nelson, Executive Director, AMIE."IBM programslike the IBM Academic Initiative and the IBM Skills Academyprovideaccess, assets and opportunities for our HBCU faculty and students to gain high-demand skills in areas like AI, cybersecurity, blockchain, quantum computing and cloud computing. IBM is a key sponsor of the annual AMIE Design Challenge introducing students to new and emerging technologies through industry collaborations and providing experiential activities like IBM Enterprise Design Thinking, which is the foundational platform for the Design Challenge. The IBM Masters and PhD Fellowship Awards program supports our HBCU students with mentoring, collaboration opportunities on disruptive technologies as well as a financial award. The IBM Blue Movement HBCU Coding Boot Camp enables and recognizes programming competencies. IBM also sponsors scholarships for the students at the 15 HBCU Schools of Engineering to support their educational pursuits. IBM continues to evolve its engagement with AMIE and the HBCU Schools of Engineering."

"The IBM Skills Academy is timely in providing resources that support the creativity of my students in the Dual Degree Engineering Program at Clark Atlanta University," said Dr. Olugbemiga A. Olatidoye, Professor, Dual Degree Engineering and Director, Visualization, Stimulation and Design Laboratory, Clark Atlanta University. "It also allows my students to be skillful in their design thinking process, which resulted in an IBM digital badge certificate and a stackable credential for their future endeavors."

"We truly value the IBM skills programs and have benefitted from the Academic Initiative, Skills Academy and Global University Awards across all five campuses," saidDr. Derrick Warren, Interim Associate Dean and MBA Director, Southern University. "Over 24 faculty and staff have received instructor training and more than 300 students now have micro-certifications in AI, cloud, cybersecurity, data science, design thinking, Internet of Things, quantum computing and other offerings."

"At UNCF, we have a history of supporting HBCUs as they amplify their outsized impact on the Black community, and our work would not be possible without transformational partnerships with organizations like IBM and their IBM Global University Programs," said Ed Smith-Lewis, Executive Director of UNCF's Institute for Capacity Building. "We are excited to bring the resources of IBM to HBCUs, their faculty, and their students."

"IBM Skills Academy is an ideal platform for faculty to teach their students the latest in computing and internet technologies," said Dr. Sridhar Malkaram, West Virginia State University. "It helped the students in my Applied Data Mining course experience the state of the art in data science methods and analysis tools. The course completion badge/certificate has been an additional and useful incentive for students, which promoted their interest. The Skills Academy courses can be advantageously adapted by faculty, either as stand-alone courses or as part of existing courses."

About IBM:IBM is a leading global hybrid cloud, AI and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. For more information visit: https://newsroom.ibm.com/home.

*King, Michael, Anthony Marshall, Dave Zaharchuk. "Pursuit of relevance: How higher education remains viable in today's dynamic world." IBM Institute for Business Value. Accessed March 23, 2021. https://www.ibm.com/thought-leadership/institute-business-value/report/education-relevance

**Source: National Center for Education Statistics, Integrated Postsecondary Education Data System

IBM Media RelationsContact: Carrie Bendzsa [emailprotected] +1613-796-3880

SOURCE IBM

http://www.ibm.com

Read more from the original source:

IBM Extends HBCU Initiatives Through New Industry Collaborations - PRNewswire

Dutch scientists working at the quantum research institute QuTech in the city of Delft, southeast of The Hague in the Netherlands, have built the first ever multi-node quantum network by managing to connect three quantum processors. The nodes can both store and process qubits (quantum bits) and the researchers have provided a proof of concept that quantum networks are not only achievable but capable of being scaled-up in size eventually to provide humanity with a quantum Internet.

When that happens the world will become a very different place. With massive new and computing capabilities being made available via the power of sub-atomic particles, intractable problems that would currently take many years to solve (it they could be solved at all) using conventional silicon-based super-computers will be determined within seconds.

The ultimate goal is to enable the construction of a world-wide quantum Internet wherein quantum mechanics will permit quantum devices to communicate and conjoin to create large quantum clusters of exponentially great power easily capable of solving currently unsolvable problems at enormous speed.

Qubits, the basic building blocks of quantum computers exist in a quantum state where, unlike traditional binary computing where a bit represents the value of either zero or one, qubits can exist both as zeros and ones simultaneously. Thus quantum computers can perform an incredible number of calculations at once but, due to the inherent instability of the quantum state they can collapse and disappear the instant they are exposed to an outside environment and must "decide" to take the value of a zero or one. This makes for the strong possibility that qubit calculations may, or may not, be reliable and verifiable and so a great deal of research is underway on error correction systems that would guarantee the results arrived at in a quantum calculations are true.

Say hello to Bob, Alice and Charlie, just don't look at them

A quantum Internet will come into being and continue to exist because of quantum entanglement, a remarkable physical property whereby a group of particles interact or share spatial proximity such that the quantum state of each particle cannot be determined independently of the state of the others, even when the particles are physically separated by great distances.

In other words, quantum particles can be coupled into a single fundamental connection regardless of how far apart they might be. The entanglement means that a change applied to one of the particles will instantly be echoed in the other. In quantum Internet communications, entangled particles can instantly transmit information from a qubit to its entangled other even though that other is in a quantum device on the other side of the world, or the other side of the universe come to that.

For this desired state of affairs to maintain itself, entanglement must be achieved and and maintained for as long as is required. There have already been many laboratory demonstrations, commonly using fibre optics, of a physical link between two quantum devices, but two nodes do not a network make. Thats's why QuTech's achievement is so important. In a system configuration reminiscent of the role routers play in a traditional network environment, the Dutch scientists placed a third node, which has a physical connection between the two others enabling entanglement between it and them. Thus a network was born. The researchers christened the three nodes as Bob, Alice and Charlie

So, Bob has two qubits: a memory qubit to permit the storage of an established quantum link, (in this case with Alice) and a communications qubit (to permit a link with node Charlie). Once the links with Alice and Charlie are established, Bob locally connects its own to qubits with the result that an entangled three node network exists and Alice and Charlie are linked at the quantum level despite there being no physical link between them. QuTech has also invented the world's first quantum network protocol which flags up a message to the research scientists when entanglement is successfully completed.

The next step will be to add more qubits to Bob, Alice and Charlie and develop hardware, software and a full set of protocols that will form the foundation blocks of a quantum Internet. That will be laboratory work but later on the network will be tested over real-world, operational telco fibre. Research will also be conducted into creating compatibility with data structures already in use today.

Another problem to be solved is how to enable the creation of a large-scale quantum network by increasing the distance that entanglement can be maintained. Until very recently that limit was 100 kilometres but researchers in Chinese universities have just ramped it up to 1,200 kilometres.

The greater the distance of travel, the more quantum devices and intermediary nodes can be deployed and the more powerful and resilient a quantum network and Internet will become. That will enable new applications such as quantum cryptography, completely secure, utterly private and unhackable comms and cloud computing, the discovery of new drugs and other applications in fields such as finance, education, astrophysics, aeronautics, telecoms, medicine, chemistry and many others that haven't even been thought of yet.

It might even provide answers to the riddle of the universal oneness of which we are all a miniscule part. Maybe the answer to the question of life, the universe and everything will be 43, as calculated by the supercomputer Deep Thought rather than the 42 postulated by Douglas Adams in "The Hitchhikers Guide to the Galaxy". Even if that is the case, given localised quantum relativity effects and Heisenbergs Uncertainty Principle it could easily be another number, until you look at it, when it turns into a living/dead cat.

Read the original post:

Here comes the worlds first ever multi-node quantum network - TelecomTV

Theres no quibbling with Nvidias success. Entrenched atop the GPU market, Nvidia has ridden its own inventiveness and growing demand for accelerated computing to meet the needs of HPC and AI. Recently it embarked on an ambitious expansion by acquiring Mellanox (interconnect) and is now working to complete the purchase of Arm (processor IP). Along the way, it jumped into the systems business with its DGX line. What was mostly a GPU company is suddenly quite a bit more.

Bill Dally, chief scientist and senior vice president, research, argues that R&D has been and remains a key player in Nvidias current and long-term success. At GTC21 this spring Dally provided a glimpse into Nvidias R&D organization and a couple of high priority projects. Like Nvidia writ large, Dallys research group is expanding. It recently added a GPU storage systems effort and just started an autonomous vehicle research group, said Dally.

Presented here is a snapshot of the Nvidia R&D organization and a little about its current efforts as told by Dally plus a few of his Q&A responses at the end of the article.

[We] are loosely organized into a supply side and demand side. The supply side of the research lab tries to develop technology that goes directly to supply our product needs to make better GPUs [these are] VLSI design methodologies to architect the GPUs, better GPU architectures, better networking technology to connect CPUs together and into the larger datacenter programming systems, and we recently started a new GPU storage systems group, said Dally.

The demand side of Nvidia Research aims to drive demand for GPUs. We actually have three different graphics research groups, because one thing we have to continually do is raise the bar for what is good real-time graphics. If it ever becomes good enough, eventually, the integrated graphics that you get for free with certain CPUs will become good enough. And then therell be no demand for our discrete GPUs anymore. But by introducing ray tracing, by introducing better illumination both direct and indirect, were able to constantly raise the bar on what people demand for good real time graphics.

Not surprisingly, AI has quickly become a priority. We have actually five different AI labs because AI has become such a huge driver for demand for GPUs, he said. A couple years ago the company opened a robotics lab. We believe that Nvidia GPUs will be the brains of all future robots, and we want to lead that revolution as robots go from being very active positioning machines to being things that interact with their environments and interact with humans. Weve also just started an autonomous vehicle research group to look at technology that will lead the way for our DRIVE products.

Occasionally, said Dally, Nvidia will pull people together from the different research for what are called moonshots or high-impact projects. We did one of those that developed the TTU [tree traversal unit], what is now called the RT core, to introduce ray tracing to real-time graphics. We did one for a research GPU that later turned into Volta. [Moonshots] are typically larger projects that try to push technology further ahead, integrating concepts from many of the different disciplines, said Dally.

A clear focus on productizing R&D has consistently paid off for Nvidia contends Dally, Over the years, weve had a huge influence on Nvidia technology. Almost all of ray tracing at Nvidia started within a Nvidia Research. Starting with the development of optics and the software ray tracer that forms the core of our professional graphics offering. More recently developing the RT cores that have brought ray tracing to real time and consumer graphics. We got Nvidia into networking when we developed NVSwitch originally as a research project back in about 2012. And we got Nvidia into deep learning and AI on a collaborative project with Stanford that led to the development of cuDNN, he said.

So much for history. Today, like many others, Nvidia is investigating in optical communications technology to overcome speedbumps imposed by existing wire-based technology. Dally discussed some of Nvidias current efforts.

When we started working on NVLink and NVSwitch, it was because we had this vision that were not just building one GPU, but were building a system that incorporates many GPUs, switches and connections to the larger datacenter. To do this, we need technology that allows our GPUs to communicate with each other and other elements of the system, and this is becoming harder to do for two reasons, he said.

Slowing switching times and wiring constraints are the main culprits. For example, said Dally, using 26-gauge cable you can go at different bit rates 25, 50, 100, 200 Gbps but at 200 Gbps, youre down to one meter (reach) which is barely enough to reach a top of rack switch from a GPU; if you speed up to 400 Gbps, its going to be a half a meter.

What we want is to get as many bits per second off a millimeter chip edge as we can because if you look forward, were going to be building 100 terabit switches, and we need to get 100 terabits per second off of that switch. So wed like to be at more than a terabit per second per millimeter of chip edge and wed like to be able to reach at least 10 meters. It turns out if youre building something like a DGX SuperPod, you actually need very few cables longer than that. And wed like to have the energy per bit be down in the one picojoule per bit range. The technology that seems most promising to do this is dense wavelength division multiplexing with integrated silicon photonics.

Conceptually the idea is pretty straightforward.

This chart (below) shows the general architecture. We start with a laser comb source. This is a laser that produces a number of different colors of light. I say different colors [but they] are imperceptibly different by like 100 gigahertz in frequency, but it produces these different colors of light and sends them over a supply fiber to our transmitter. In the transmitter, we have a number of ring resonators that are able to individually modulate (on-and-off) the different colors of light. So we can take one color of light and modulate it at some bit rate on and off. We do this simultaneously in parallel on all of the other colors and get a bit rate which is a product of the number of colors we have and the bit rate were switching per color. We send that over a fiber with a reach of 10-to-100 meters to our receiving integrated circuit. [There] we pick off with ring resonators the different colors that are now either on or off with a bitstream and send that photodetectors and transimpedance amplifiers and on up to the receiver, described Dally

Dally envisions a future optical DGX where a GPU will communicate via an organic package to an electrical integrated circuit that basically takes that GPU link and modulates the individual ring resonators that you saw in the previous figure on the photonic integrated circuit. The photonic integrated circuit accepts the supply fiber from the laser, has the ring resonator modulators, and drives that fiber to the receiver. The receiver will have an NVSwitch and has the same photonic integrated circuit. But now were on the receive side where the ring resonators pick the wavelengths off to the electrical integrated circuit, and it drives the switch.

The key to this is that optical engine, he said, which has a couple of components on it. It has the host electrical interface that receives a short reach electrical interface from the GPU. It has modulator drivers to modulate the ring resonators as well as control circuitry, for example, to maintain the temperature of the ring resonators [which must be at] a very accurate temperature to keep the frequency stable. It then has waveguides to grating couplers that couple that energy into the fiber that goes to the switch.

Many electronic system and device makers are grappling with the interconnect bandwidth issue. Likely at a future GTC, one of Dallys colleagues from product management will be showcasing new optical interconnect systems while the Nvidia R&D team is grappling with some new set of projects.

I hope that the projects I described for you today [will achieve] future success, but we never know. Some of our projects become the next RT core. Some of our projects [dont work as planned, and] we quietly declare success and move on to the next one. But we are trying to do everything that we think could have impact on Nvidias future.

POST SCRIPTS Dally Quick Hits During Q&A

Nvidia R&D Reach Go Where the Talent Is

We are already geographically very, very diverse. I have a map. Of course, its not in the slide deck (shrugs), were all over North America and Europe. And a couple years ago, actually, even before the Mellanox acquisition, we opened an office in Tel Aviv. Whats driven this geographic expansion has been talent, we find smart people. And there are a lot of smart people who dont want to move to Santa Clara, California. So we basically create an office where they are. I think there are certainly some gaps. One gap I see as a big gap is an office in Asia; there are an awful lot of smart people in Asia, a lot of interesting work coming out of there. And I think Africa and South America clearly have talent pools we want to be tapping as well.

On Fab Technologys Future

So what will be the future of computing when the fab processing technology becomes near sub nanometer scaling with respect to quantum computing? Thats a good question, but I dont know that Ive given that much thought. I think weve got a couple generations to go. Amperes in seven nanometers and we see our way clearly to five nanometers and three nanometers, and the devices there operate very classically. Quantum computing, I think if we move there, its not going to be, you know, with conventional fabs. Its going to be with these Josephson junction based technologies that a lot of people are experimenting, or with photonics, or with trapped ions. We have done a study group to look at quantum computing and have seen it as a technology is pretty far out. But our strategy is to enable [quantum] by things like the recently announced cuQuantum (SDK) so that we can both help people simulate quantum algorithms until quantum computers are available, and ultimately run the classical part of those quantum computers on our GPUs.

Not Betting on Neuromorphic Tech

The next one is do you see Nvidia developing neuromorphic hardware to support spiking neural networks? The short answer is no, Ive actually spent a lot of time looking at neuromorphic computing. I spent a lot of time looking at a lot of emerging technologies and try to ask the question, Could these technologies make a difference for Nvidia? For neuromorphic computing the answer is no, and sort of consists of three things. One of them is the the spiking representation, which is actually a pretty inefficient representation of data because youre toggling a line up and down multiple times to signal a number. To have that say 256 dynamic range, on average, youd have to toggle 128 times and that [requires] probably 64 times more energy than an integer representation. Then theres the analog computation and weve looked at analog computation, finding it to be less energy efficient when you consider the need to convert to store the digital computation. And then theres different models they typically come up with. If those models were better than models, like BERT for language, or Resnet, for imaging, people would be using them, but they dont win the competitions. So were not looking at spiking things right now.

Can DL Leverage Sparsity Yes.

The next question here is can deep learning techniques leverage sparsity, for example, sparse atom optimizer, sparse attention, take advantage of the sparse matrix multiplication mechanisms in the Ampere tensor cores? Thats a bit off topic, but the short answer is yes. I mean, neural networks are fundamentally sparse. [A colleague and] I had a paper at NeurIPS in 2015, where we showed that you can basically prune most convolution layers down to 30 percent density and most fully-connected layers down to 10 percent or less density with no loss of accuracy. So I think that getting to the 50 percent you need to exploit the sparse matrix multiply units in Ampere is actually very easy. And I think were going to see, actually weve already seen that applied kind of across the board on the matrix multiply gives you a 2x improvement. But over the whole application, which includes all these things that arent matrix multiply, like the normalization step, and the nonlinear operator and the pooling, we actually even considering all of that and Amdahls law we still get a 1.5x speed up on BERT applying the sparse tensor cores.

Continue reading here:

Crystal Ball Gazing at Nvidia: R&D Chief Bill Dally Talks Targets and Approach - HPCwire

Cambridge has been chosen by The Quantum Daily as one of the top ten global universities and institutions for its exemplary research into quantum physics.

The University of Cambridge has been chosen as one of the worlds top ten universities and research institutions by The Quantum Daily, a leading online publication in the field of quantum computing.

It describes Cambridge as being at the apex of the countrys pioneering quantum movement.

Several quantum computing startups have spun out of the University, while many other quantum organizations made their homes near Cambridge because of the ready access to world-leading talent and brainpower, the publication continues.

Professor Adrian Kent, a quantum physicist at the Universitys Department of Applied Mathematics and Theoretical Physics, told Varsity: Recognition is always pleasing, of course, but were really focussed on enjoying work in this amazing field and doing the best science we can.

The Quantum Daily describes the Centre for Quantum Information and Foundations (CQIF), based at the Department of Applied Mathematics and Theoretical Physics, as an example of the Universitys ability to combine research, teaching and service to encourage the growth of this ecosystem.

Conventional (classical) computers use the bit (binary digit) as a unit of information, which can exist in one of two states represented by the digits 0 and 1. Quantum computers, on the other hand, operate on quantum bits, or qubits.

Qubits are governed by the laws of quantum mechanics, so can exist in both states at once. This phenomenon, known as entanglement, may in future allow quantum computers to perform calculations inaccessible to their classical counterparts.

Research at the CQIF currently focuses on theoretical and practical quantum cryptography and relativistic quantum cryptography a field invented at the CQIF, Kent and his colleagues told Varsity.

Quantum cryptography research is driven by the fact that the state of quantum systems is sensitive to measurement and observation, in principle making them ideal for secure communications.

The CQIF is a member of the UK Quantum Communications Hub, which Kent and the other researchers describe as a collaboration between many UK research groups, one of whose projects is building a secure quantum cryptographic network that will link nodes in Cambridge to Ipswich, London, Bristol and beyond.

Other research at the Centre investigates foundational questions probing the basic principles of quantum theory itself and its relationship to classical physics and gravity, as well as the overlap between quantum computing and classical computer science.

READ MORE

CERNs grand ambitions: are particle accelerators worth it?

CQIF is also examining quantum advantage, or why quantum computers are faster than classical computers, the researchers explained. A better understanding of key differences between behaviours of classical and quantum systems will help answer questions about how to build efficient quantum computers and design software to run on them.

Quantum information theory, the study of information transmission and manipulation in quantum systems, is another focus of research at the CQIF. In particular, Kent and his colleagues are interested in removing the traditionally considered assumptions to understand information transmission in more realistic conditions.

One such assumption is that quantum systems are memoryless, meaning the probability of an event occurring does not depend on how much time has elapsed since the last event, they explained.

The researchers toldVarsity of their enjoyment of the depth and breadth of research in the CQIF, and the diverse backgrounds and expertise of those working at the centre.

It often leads to useful discussions between the different members of CQIF, resulting in cross-fertilization of ideas from different areas, useful insights and, ultimately, exciting results, they continued.

This recognition will hopefully contribute to more talented young scientists aspiring to work in this inspiring place.

In addition to Cambridge, TheQuantum Dailys list includes other organisations from around the world. The Chinese Academy of Science, the Max Planck Society and Harvard University were among those chosen.

Varsity is the independent newspaper for the University of Cambridge, established in its current form in 1947. In order to maintain our editorial independence, our print newspaper and news website receives no funding from the University of Cambridge or its constituent Colleges.

We are therefore almost entirely reliant on advertising for funding, and during this unprecedented global crisis, we expect to have a tough few months and years ahead.

In spite of this situation, we are going to look at inventive ways to look at serving our readership with digital content and of course in print too.

Therefore we are asking our readers, if they wish, to make a donation from as little as 1, to help with our running costs at least until this global crisis ends and things begin to return to normal.

Many thanks, all of us here at Varsity would like to wish you, your friends, families and all of your loved ones a safe and healthy few months ahead.

Read more from the original source:

Cambridge named as world-leading centre of quantum computing research - Varsity Online

(Feb 2021 trend research report )The newly added report titledGlobal Quantum Computing Market Report 2020, Forecast to 2030to the database ofinsightSLICEreveals existing trends and tendencies in the industry. The report contains vital insights on the market and a thorough overview of the market where it identifies industry trends, determines industry insights, and offers competitive intelligence. The report helps to figure out and study the market needs, market size, and competition. The report includes noteworthy information alongside future conjecture and point by point market scanning on a worldwide, regional, and local level for the global Quantum Computing industry. The research document is designed with correctness and in-depth knowledge which helps the business to grow and henceforth results in revenue growth.

The report analyzes the current market trends, consumer demands, and preferences, market situations, opportunities, and market status. Other principles studied in terms of the market report include market definition, market segmentation, competitive analysis, and research methodology. The report offers an in-depth analysis of the global Quantum Computing markets historical data and estimated projections about the market size and share in the forecast period from 2020 to 2030. It also includes market trends, revenue growth patterns market shares, and demand and supply. The report is segmented on the basis of types, end-users, applications, and regional markets.

Download a FREE sample copy of this report: https://www.insightslice.com/request-sample/284

Development policies and plans are discussed and manufacturing processes and industry chain structures are analyzed. This report also provides data on import / export, supply and consumption, as well as manufacturing costs and global revenues, and gross margin by region. The numerical data are copied with statistical tools, such as SWOT analysis, BCG matrix, SCOT analysis and PESTLE analysis. Statistics are presented in graphical form to provide a clear understanding of the facts and figures.

The main manufacturers covered in this report:

D-Wave Systems Inc., QX Branch Co., IBM Co., Google Co., Huawei Technologies Co., Ltd., and Toshiba Research Europe Ltd.

Market segmentation:

The Quantum Computing market is divided into several essential sectors, including application, type and region . Each market segment is extensively studied in the report, taking into account market acceptance, value, demand and growth prospects. Segmentation analysis allows customers to customize their marketing approach to place better orders for each segment and identify the most potential customer base

Regional views of the market Quantum Computing

In terms of geography, this research report covers almost every major region in the world, such as North America, Europe, South America, the Middle East and Africa and Asia Pacific. Europe and North America are expected to increase in the coming years. The Asia Pacific Quantum Computing market is expected to grow significantly during the forecast period. The latest technologies and innovations are the most important features of North America and the main reason why the United States dominates the world market. The South American market for Quantum Computing is also expected to grow in the near future.

The report covers the impacts of COVID-19 on the market.

The ongoing pandemic has changed several facets of the market. This research report provides financial impacts and market disruption to the Quantum Computing market. It also includes analyzing potential opportunities and challenges in the foreseeable future. insightSLICEinterviewed several industry delegates and engaged in primary and secondary research to provide customers with information and strategies to address market challenges during and after the COVID-19 pandemic.

The main questions answered in the report:

The Industry Analysis market payroll online service assists customers with personalized and syndicated reports of significant importance to the experts involved in market analysis and data. The report also calls for market-oriented results that conduct a feasibility study for the customers needs. insightSLICEguarantees validated and verifiable aspects of market data operating in real time scenarios. Analytical studies are conducted to confirm customer needs with a complete understanding of market capabilities in real-time scenarios.

The conclusion of this report provides an overview of the potential for new projects to be successful in the market in the near future, and the global payroll online service market in terms of investment potential in various market sectors covers the full range .

Need a discount?

Note: * The discount is offered at the Standard Price of the report.

Request a discount for this report @ https://www.insightslice.com/request-discount/284

About Us:

We are a team of research analysts and management consultants with a common vision to assist individuals and organizations in achieving their short and long term strategic goals by extending quality research services.

Contact Info 422 Larkfield Ctr #1001 Santa Rosa, CA 95403-1408 info@insightslice.com +1 (707) 736-6633

Visit link:

Quantum Computing Market 2018 Size, Application,Revenue, Types, Trends in Future, Scope to 2030 | D-Wave Systems Inc., QX Branch Co., IBM Co., Google...

Computer scientists have achieved a quantum computing breakthrough that makes it possible to massively scale up the ultra-powerful machines.

A team of researchers from Microsoft and the University of Sydney invented a chip, dubbed Gooseberry, that can support thousands of qubits the building blocks of quantum computers while operating at temperatures close to absolute zero.

Qubits replace the traditional bits found in current computer systems, which use 1s and 0s to store and transfer data. By acting in a state of superposition, qubits are able to act as both a 1 and a 0 at the same time, allowing quantum computers to achieve processing power that is exponentially more powerful than traditional computers.

To realise the potential of quantum computing, machines will need to operate thousands, if not millions, of qubits, said Professor David Reilly from the University of Sydney, who was chief investigator of the research.

The worlds biggest quantum computers currently operate with just 50 or so qubits. This small scale is partly because of limits to the physical architecture that control the qubits. Our new chip puts an end to those limits.

The research is published in the journal Nature Electronics.

Qubits need to be stored at temperatures that are 40 times colder than deep space in order to function, with current systems relying on cables connected to each individual qubit stored a these extreme temperatures.

The cryogenic Gooseberry chip disrupts this architectural approach by generating control signals for thousands of qubits in a single place, while requiring only two wires to communicate with the rest of the system.

Current machines create a beautiful array of wires to control the signals; they look like an inverted gilded birds nest or chandelier, Professor Reilly said.

Theyre pretty, but fundamentally impractical. It means we cant scale the machines up to perform useful calculations. There is a real input-output bottleneck.

Building a quantum computer is perhaps the most challenging engineering task of the 21st century Through our partnership with Microsoft, we havent just suggested a theoretical architecture to overcome the input-output bottleneck, weve built it.

Go here to read the rest:

Quantum computing breakthrough uses cryogenics to scale machines to thousands of times their current size - The Independent

CHICAGO, Feb. 2, 2021 /PRNewswire/ -- According to the new market research report "Quantum Computing Marketwith COVID-19 impact by Offering (Systems and Services), Deployment (On Premises and Cloud Based), Application, Technology, End-use Industry and Region - Global Forecast to 2026", published by MarketsandMarkets, the market is expected to grow from USD 472 million in 2021 to USD 1,765 million by 2026, at a CAGR of 30.2%. The early adoption of quantum computing in the banking and finance sector is expected to fuel the growth of the market globally. Other key factors contributing to the growth of the quantum computing market include rising investments by governments of different countries to carry out research and development activities related to quantum computing technology. Several companies are focusing on the adoption of QCaaS post-COVID-19. This, in turn, is expected to contribute to the growth of the quantum computing market. However, stability and error correction issues is expected to restrain the growth of the market.

Ask for PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=144888301

Services segment is attributed to hold the largest share of the Quantum Computing market

The growth of services segment can be attributed to the increasing number of startups across the world that are investing in research and development activities related to quantum computing technology. This technology is used in optimization, simulation, and machine learning applications, thereby leading to optimum utilization costs and highly efficient operations in various end-use industries.

Cloud based deployment to witness the highest growth in Quantum Computing market in coming years

With the development of highly powerful systems, the demand for cloud-based deployment of quantum computing systems and services is expected to increase. This, in turn, is expected to result in a significant revenue source for service providers, with users paying for access to noisy intermediate-scale quantum (NISQ) systems that can solve real-world problems. The limited lifespan of rapidly advancing quantum computing systems also favors cloud service providers. The flexibility of access offered to users is another factor fueling the adoption of cloud-based deployment of quantum computing systems and services. For the foreseeable future, quantum computers are expected not to be portable. Cloud can provide users with access to different devices and simulators from their laptops.

Optimization accounted for a major share of the overall Quantum Computing market

Optimization is the largest application for quantum computing and accounted for a major share of the overall Quantum Computing market. Companies such as D-Wave Systems, Cambridge Quantum Computing, QC Ware, and 1QB Information Technologies are developing quantum computing systems for optimization applications. Networked Quantum Information Technologies Hub (NQIT) is expanding to incorporate optimization solutions for resolving problems faced by the practical applications of quantum computing technology.

Trapped ions segment to witness highest CAGR of Quantum Computing market during the forecast period

The trapped ions segment of the market is projected to grow at the highest CAGR during the forecast period as quantum computing systems based on trapped ions offer more stability and better connectivity than quantum computing systems based on other technologies. IonQ, Alpine Quantum Technologies, and Honeywell are a few companies that use trapped ions technology in their quantum computing systems.

Browsein-depth TOC on"Quantum Computing Market"

111 Tables 51 Figures 199 Pages

Inquiry Before Buying: https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=144888301

Banking and finance is attributed to hold major share of Quantum Computing market during the forecast period

In the banking and finance end-use industry, quantum computing is used for risk modeling and trading applications. It is also used to detect the market instabilities by identifying stock market risks and optimize the trading trajectories, portfolios, and asset pricing and hedging. As the financial sector is difficult to understand; the quantum computing approach is expected to help users understand the complexities of the banking and finance end-use industry. Moreover, it can help traders by suggesting them solutions to overcome financial challenges.

APAC to witness highest growth of Quantum Computing market during the forecast period

APAC region is a leading hub for several industries, including healthcare and pharmaceuticals, banking and finance, and chemicals. Countries such as China, Japan, and South Korea are the leading manufacturers of consumer electronics, including smartphones, laptops, and gaming consoles, in APAC. There is a requirement to resolve complications in optimization, simulation, and machine learning applications across these industries. The large-scale development witnessed by emerging economies of APAC and the increased use of advanced technologies in the manufacturing sector are contributing to the development of large and medium enterprises in the region. This, in turn, is fueling the demand for quantum computing services and systems in APAC.

In APAC, the investments look promising, as most countries such as China, Japan, and South Korea have successfully contained the virus compared with the US and European countries. China is easing the restrictions placed on factory lockdowns and worker movement. Despite being the epicenter of COVID-19, China has maintained its dominant position as a global network leader.

The Quantum Computing market was dominated by International Business Machines (US), D-Wave Systems (Canada), Microsoft (US), Amazon (US), and Rigetti Computing (US).

Related Reports:

Deep Learning Marketby Offering (Hardware, Software, and Services), Application (Image Recognition, Signal Recognition, Data Mining), End-User Industry (Security, Marketing, Healthcare, Fintech, Automotive, Law), and Geography - Global Forecast to 2023

About MarketsandMarkets

MarketsandMarkets provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets' flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact:

Mr. Aashish Mehra MarketsandMarkets INC. 630 Dundee Road Suite 430 Northbrook, IL 60062 USA: +1-888-600-6441 Email: [emailprotected] Research Insight : https://www.marketsandmarkets.com/ResearchInsight/quantum-computing-market.asp Visit Our Web Site: https://www.marketsandmarkets.com Content Source: https://www.marketsandmarkets.com/PressReleases/quantum-computing.asp

SOURCE MarketsandMarkets

See the original post here:

Quantum Computing Market worth $1,765 million by 2026 - Exclusive Report by MarketsandMarkets - PRNewswire

CONNIE ZHOU

It's fitting that one of the coolest quantum computing projects going has an equally cool name.Goldeneyeis IBM's internal codename for the world's largest dilution refrigerator, which will house a future 1,000,000 qubit quantum processor.

In September 2020, IBM debuted a detailed roadmap about how it will scale its quantum technology in the next three years to reach the true quantum industry inflection point of Quantum Advantage -- the point at which quantum systems will be more powerful than today's conventional computing.

But there's a catch: You can't do anything in quantum without incredibly low temperatures.

To reach this 'moon landing' moment, the IBM team developed the largest dilution refrigerator, which will house a future 1,000,000 qubit system. Work is underway to reach the goal of quantum computer capable of surpassing conventional machines by 2023, and this 10-foot-tall and 6-foot-wide "super-fridge" is a key ingredient, capable of reaching temperatures of 15 millikelvin, which is colder than outer space. The fridge gets so cold it takes between 5 and 14 days to cool down.

I caught up withJerry Chow, Director of Quantum Hardware System Development for IBM, to learn about the Herculean project and to find out what's next for IBM's quantum computing ambitions.

Let's start with the basics: Why is a super-fridge necessary for useful quantum computing and what advances in the last decade or so have aided that effort?

Superconducting qubits need to be cooled down to between 10-15 millikelvin for their quantum behavior to emerge. They need to be kept that cold to ensure that their performance is high. Dilution refrigeration technology, which has been around for a really long time, is an enabling technology specifically for superconducting qubits for quantum computing. Whereas a different type of qubit might require its own unique set of hardware and infrastructure.

Around 2010, cryogen-free dilution refrigerators became en vogue. These didn't require transferring and refilling liquid cryogenic helium every other day to keep these refrigerators cold. In fact, my PhD at Yale was completed entirely at the time when we were still experimenting on what we call "wet" dilution refrigerators. However, around 2010, the whole world started switching over to these reliable cryogen-free "dry" dilution refrigerators which suddenly allowed for experiments with superconducting qubits to be done for a lot longer periods of time with no interruption.

How did the Goldeneye project first took shape? And what were the biggest perceived technical challenges early on?

The very first thought of building something at that scale came from my colleaguePat Gumannwhile brainstorming long-term, 'crazy' ideas in my office in November of 2018. At that time, our team was tasked with deploying our first 53-qubit quantum computer in the IBM Quantum Computation Center in Poughkeepsie, NY, a challenge which pushed a few limits in what we could place into a single cryogenic refrigerator at the time. While working on it, it also really made us start thinking beyond, and almost instantly that we will need much larger cryogenic support system to ever cool down between 1,000 to 1 million qubits. This was simply due to the sheer volume required to host, not only all the qubits, but also all of the auxiliary, cryogenic, microwave electronics cables, filters, attenuators, isolators, amplifiers, etc.

It became very apparent that a new way of thinking in terms of the design would be needed and we started coming up with different form factors for how to effectively construct and cool down a behemoth such as the super-fridge. Some of the challenges we had were purely infrastructural such as how were we going to find a space in the building big enough to start this project and where would we find the capabilities to work with really large pieces of metal.

And as the rubber started to meet the road what have turned out to be the biggest hurdles to creating a useful quantum computer, and what does that say about the trajectory of the technology?

Some of the most challenging hurdles to overcome includes improving the quality of the underlying qubits, which includes improving the underlying coherence times (the amount of time that qubits stay in a superposition state), the achievable two-qubit gate fidelities, and reducing crosstalk between qubits as we scale up.

For that matter, most of these improvements feed into an overall quality measure for the performance of a quantum computer which we have defined called the Quantum Volume. Having a measure such as Quantum Volume allows us to really show progression along a roadmap of improvements, and we have been demonstrating this scaling of Quantum Volume year over year as we make new systems better and better.

The higher the Quantum Volume, the more real-world, complex problems quantum computers can potentially solve. A variety of factors determine Quantum Volume, including the number of qubits, connectivity, and coherence time, plus accounting for gate and measurement errors, device cross talk, and circuit software compiler efficiency.

Where is IBM right now with regards to Goldeneye? What can we expect in the near future?

Our "Goldeneye" super-fridge is very much an ongoing project, which is on target for completion in 2023. It is just one critical part of our long-term roadmap for scaling quantum technology. As we continue to execute on the roadmap we announced in September, we're pleased to share that we achieved aQuantum Volume of 128in November and we're working towards improving the quality of our underlying systems in order to debut our127-qubit IBM Quantum Eagle processorlater this year.

In the near future, we're poised to make exciting developments with our entire technology stack, including software and control systems. At IBM, we're working toward a complete set of broad innovations and breakthroughs.

What will quantum computing mean for the world in the long run? How will be a game changer?

Quantum computing will vastly broaden the types of problems we will address, and the technology offers a new form of computation that we expect to work in a frictionless fashion with today's classical computers. From the chemistry of new materials, and the optimization of everything from vehicle routing to financial portfolios, to improving machine learning, quantum will be an integral part of the future of computing and we're proud to be laying the foundation for a future of discovery.

Read more here:

IBM's Goldeneye: Behind the scenes at the world's largest dilution refrigerator - ZDNet

If you think the 21st century has brought enough opportunities to women in technology, it is still an uncertain thought that needs verification. The modern era of technology has changed the world upside down. The emerging trends are slowly placing women equally to men at all positions in the tech radar. But what feels off is where women stand in therevolution of quantum computers.

Computers have evolved on a large scale in recent decades. Initially, computers filled a whole building and costed a fortune. But today, they are minimized to a small size and featured with advanced technologies where people carry them every day. Thequantum growthhas given birth to ideas like quantum computer and quantum internet. Unlike many disruptive technologies, quantum computing is something that can change the base of our computing system. Even though a fully established quantum computer is still under process, the industry is remarkably being male dominant at some stance. While countries run the race to reach the quantum success, they often leave women behind. And the worst case is that most of us dont notice the discrimination quantum computing is bringing into the tech sector. In order to know better about quantum computing and womens position in technology, let us go through the history and some of the important global quantum initiatives.

Quantum computeris a device that employs properties described by quantum mechanics to enhance computations. Quantum computers are anticipated to spur the development of breakthrough in science, medications to save lives, machine learning methods to diagnose illnesses sooner, materials to make more efficient devices and structures, financial strategies to live well in retirement, and algorithms to quickly direct resources such as ambulances. In a nutshell, quantum computing could ease critical jobs for good. While classical computers are based on bits, quantum computers are based on quantum bits, called qubits. Qubits are physically derived from small quantum objects such as electron or photon, where a pure quantum mechanical state such as spin indicates the ones and zeros.

Thespark of quantum computingwas struck by Nobel Laureate Richard Feynman in 1959. He noted that as electronic components begin to reach microscopic scales, effects predicted by quantum mechanics might be exploited in the design of more powerful computers. The simple speculation turned out to be a theory during the 1980s and 90s and advanced beyond Feynmams words. In 1985, David Deutsch of the University of Oxford described the construction of quantum logic gates for a universal quantum computer. Peter Shor of AT&T devised an algorithm to factor numbers with quantum computers that would require fewer qubits. Later in 1998, Isaac Chuang of the Los Alamos National Laboratory, Neil Gershenfeld of the Massachusetts Insititute of Technology (MIT) and Mark Kubinec of the University of California at Berkeley created the first quantum computer that could be loaded with data and output a solution. Almost twenty years later, IBM presented the first commercially usable quantum computer in 2017.

Quantum technologieshave been getting exponential investments in the last few years. The global efforts to boost the quantum mechanism have emerged as a main area of funding. By 2025, the global quantum market is expected to reach US$948.82 million. Quantum computing will give a substantial military and economic advantage to whichever countries come out on top in this global competition.

In 2018, under former President Donald J. Trumps administration, a bipartisan law called National Quantum Initiative Act was passed. According to the law, US$1.2 billion will be spent on the development of quantum information processing over the course of a decade. European countries are also taking steps to stabilize their quantum future. In 2016, 3,400 significant people form science, research and corporate world signed the Quantum Manifesto to call upon the European Commission and the Member States to formulate a joint strategy designed to ensure that the continent remains at the forefront of the second quantum revolution. Two years past the initiative, European Commission launched a Quantum Technologies Flagship program to support hundreds of quantum science researchers.

China is being ambitious in becoming a frontrunner in the quantum revolution. Under Chinese President Xi Jinpings rule, the countrys scientists and engineers are enjoying access to nearly unlimited resources in their development of quantum science and technology. In 2016, China has launched the worlds first quantum satellite as a test platform for quantum communications links between space and earth.

Physics, computer science and engineering are thebasement of quantum computing. The problem starts from the very baseline because only 20% of degree recipients are identified as women for the last decade. Even women who survive the lone time at universities face an existential crisis on daily life as a person involved in quantum initiatives. They are often dismissed and walked over by their male peers. A research conducted by a group of five female scientists has concluded thatwomen who receive an A gradein a physics course have the same self-efficacy about their own performance as men who earn a C grade. The research further unravels thatwomen have a lower sense of belongingand they feel less recognized by their physics instructors as people who can excel in physics.

However, the world can still build an inclusive future for women by taking certain initiatives. Primarily, women need to be recognized in the science and engineering disciplines. Insufficient encouragement in the education level is a threat to women willingness. Instructors and research advisors should cheer female students to perform better and give them more opportunities. Organizations should also develop a culture that treats women and their ideas equally to their male counterparts.

Read the rest here:

Establishing a Women Inclusive Future in Quantum Computing - Analytics Insight

Over the next few years the tech industry has a roadmap to overcome the challenges facing quantum computing. This will pave the way to growth in mainstream quantum computing to solve hard problems.

There are numerous opportunities, from finding a cure for cancer to the development of new, more sustainable materials and tackling climate change. But a recent short film on quantum ethics has highlighted the risks, which may be as profound as the Manhattan Project that led to two atomic bombs being dropped on Hiroshima and Nagasaki in 1945.

One interviewee featured in the film, Ilana Wisby, CEO, Oxford Quantum Circuits said: We wont fully understand the impact of what we have until we have got the systems, but it will be revolutionising and will be lucrative for some.

The experts discussed the need for a debate across society to assess and appreciate the risk quantum computing will pose. Ilyas Khan, CEO Cambridge Quantum Computing said: We may be able to shift the boundaries of what can and cannot be done with machines.

Faye Wattleton, co-found EeroQ Quantum urged the innovators and policy makers to take a step back to consider the implications and its impact on humanity. If we can do in a few minutes what it would take 10,000 years to do with current technology then that requires careful consideration. From a societal perspective, what does this kind of power mean?

Just because a quantum computer makes it possible to solve an insoluble problem, does not mean it should be solved.

In the past, there was oversight and governance of technological breakthroughs like the printing press, which paved the way to mass media and the railways, which led to mass transit. But IT has become arrogant. Its proponents say that it moves far too quickly to be restrained by a regulatory framework. As an expert at a recent House of Lords Select Committee meeting warned, policy-makers are not very good at looking ahead at the long term impact of a new technological development. In the 1990s, who would have considered that the growth of the internet, social media and mobile phones would be a stimulant for fake news and a catalyst for rogue states to influence elections in other countries.

Khan describes the lack of controls on the internet like being asleep at the wheel. What are the implications of a quantum computing society? Perhaps, as Khan, says, society need to anticipate these issues, instead of being asleep at the wheel again.

This e-guide explores these matters, beginning with a comprehensive article that ranges over supply chain management, from a macro level through how trading platforms have been flexed to switch suppliers rapidly down to how robots have been quickly deployed to solve problems of scale.

Go here to see the original:

The risk of giving in to quantum progress - ComputerWeekly.com