Mediaboss Marketing

ST. PAUL, Minn.,Feb. 4, 2022 A new study conducted by Hyperion Research and sponsored by the Quantum Economic Development Consortium (QED-C) and QC Ware with assistance from the European Quantum Industry Consortium and Quantum Industry Canada today announced that the global quantum computing (QC) market earned an estimated $490 millionin 2021. The market is anticipated to expand at an annual rate of 21.9 percent through 2024.

The estimate is strongly data-driven, drawn from a survey of 112 quantum computing vendors headquartered inNorth America,Europe, the Asia/Pacific Region, and theMiddle East. Survey respondents spanned the range of the QC ecosystem, including QC algorithm and QC application software developers, QC hardware developers and product providers, and QC venture capital organizations.

This newest market study confirms that the global quantum computing sector will exhibit stable and robust growth for at least the next few years. A growing list of QC-end users around the world likely will continue to fuel such growth, attracted by the increasing base of new and innovative QC- based applications and use cases critical to their overall advanced computing requirements, according toBob Sorensen, Chief Analyst for Quantum Computing, Hyperion Research.

Additional insights from the study included:

This study is the second annual QC market forecast by Hyperion Research and underwritten by QED-C and QC Ware. The findings, which were recently presented at the 2021 Q2B conference, will help inform decisions made by QC developers interested in rapidly changing QC market trends and opportunities; national-level policymakers tasked with QC-related R&D funding support, procurement policies, trade, and QC-specific security consideration; current and future QC end-users looking to gauge the pace and progress of the sector; and various corporate and venture capital entities assessing the technology and market potential of the sector. Regular updates to these studies will track the growth of the QC industry and help vendors, investors, and policymakers understand the evolving landscape of the quantum computing ecosystem. Future studies will be presented at the annual Q2B conference, held in the second week of December inCalifornia.

Celia Merzbacher, Executive Director of QED-C said, This data-driven study provides a snapshot of where the industry is now and where it is headed in the next three to five years. With broader coverage compared to the survey one year ago, the consistent results year-over-year provide added confidence in the results.

We believe that building practical quantum computing applications, which is our main mission, is not a zero-sum game, said Yianni Gamvros, Head of Business Development, QC Ware. QC Ware is actively investing and cares deeply about the health of the entire quantum computing ecosystem. Support for this report is one of many community initiatives that we are undertaking to ensure the entire space is healthy, transparent, and growing as quickly as possible.

About Quantum Economic Development Consortium

The Quantum Economic Development Consortium (QED-C) is an industry-driven consortium managed by SRI International with the mission to support a robust U.S. QIST industry and related supply chain. QED-C is supported by the National Institute of Standards and Technology (NIST) in the U.S. Department of Commerce and more than 160 members, including more than 110 U.S. corporations from across the quantum supply chain including component suppliers/manufacturers, software and hardware system developers, service providers and end users. Visit https://quantumconsortium.org.

About QC Ware

QC Wareis a quantum software and services company focused on ensuring enterprises are prepared for the emerging quantum computing disruption. QC Ware specializes in thedevelopment of applications for near-term quantum computing hardware with a team composed of some of the industrys foremost experts in quantum computing. Its growing network of customers includes AFRL, Aisin Group, Airbus, BMW Group, Equinor, Goldman Sachs, and Total. QC Ware Forge, the companys flagship quantum computing cloud service, is built for data scientists with no quantum computing background. It provides unique, performant, turnkey quantum computing algorithms. QC Ware is headquartered inPalo Alto, California, and supports its European customers through its subsidiary inParis. QC Ware also organizes Q2B, the largest annual gathering of the international quantum computing community. Visit https://www.qcware.com.

About Hyperion Research

Hyperion Research provides data-driven research, analysis and recommendations for technologies, applications, and markets in high performance computing and emerging technology areas, such as quantum computing, to help organizations worldwide make effective decisions and seize growth opportunities. Research includes market sizing and forecasting, share tracking, segmentation, technology, and related trend analysis, and both user and vendor analysis for technical server technology used for traditional HPC, high performance data analysis, and AI workloads.Bob Sorensen(bsorensen@hyperionres.com) is Chief Analyst for Quantum Computing. Visit https://hyperionresearch.com.

Source: Hyperion Research

Original post:
Study Estimates Global Quantum Computing Market Earned $490M in 2021 - HPCwire

IBM today announced it will deploy its first quantum computer in Canada, putting Canada on a short list of countries that will have access to an IBM Quantum System One machine. The Canadian province of Quebec is partnering with IBM to establish the Quebec-IBM Discovery Accelerator to advance R&D within the fields of quantum computing, artificial intelligence, semiconductors and high-performance computing.

The collaboration will lay the foundation for novel energy materials and life science discoveries, according to the partners. The new technology hub is also focused on STEM education and skills development with an emphasis on supporting genomics and drug discovery.

The IBM Quantum System One is expected to be up and running at IBMs facility in Bromont, Quebec, by early next year, said Anthony Annunziata, IBMs director of accelerated discovery, in an interview with Reuters. IBM said the partnership will leverage the companys knowledge of semiconductor design and packaging.

The Quebec-IBM Discovery Accelerator is further proof of our commitment to building open communities of innovation to tackle the big problems of our time through a combination of quantum computing, AI and high-performance computing, all integrated through the hybrid cloud, said Dr. Daro Gil, senior vice president and director of Research, IBM.

The dedicated IBM quantum computer will pave the way for us to make incredible progress in areas such as artificial intelligence and modeling, said Franois Legault, Premier of Quebec. Quantum science is the future of computing. With our innovation zone, were positioning ourselves at the forefront of this future.

IBM has in the last twelve months announced similar partnerships with the Cleveland Clinic, the University of Illinois Urbana-Champaign and the UKs Science and Technology Facilities Council Hartree Centre. The Canadian Quantum One system marks the fifth global installation that IBM has announced, following engagements in the U.S., Germany, Japan and South Korea.

Canada has made quantum computing a high-priority research target, seeking to hone its technical and strategic edge in the global marketplace. A year ago, the government of Canada extended a $40-million contribution to quantum computing firm D-Wave Systems Inc. as part of a larger $120 million investment in quantum computing technologies. (Based in British Columbia, D-Wave has long championed quantum annealing-based quantum computing, but recently announced it was expanding into gate-based quantum computing.)

While IBM has primarily provided its quantum computing platform as a service, the company launched the IBM Quantum System One in 2019 as an on-premises offering, billed as the worlds first fully integrated universal quantum computing system.

Related:

IBM Quantum Update: Q System One Launch, New Collaborators, and QC Center Plans

IBM Bringing Quantum on-Prem for Cleveland Clinic

IBM Joins Effort to Build $200M AI, Cloud, Quantum Discovery Accelerator at the University of Illinois

Fraunhofer Goes Quantum: IBMs Quantum System One Comes to Europe

IBM and University of Tokyo Roll Out Quantum System One in Japan

IBM and Yonsei University Unveil Collaboration to Bring IBM Quantum System One to Korea

Visit link:
In Partnership with IBM, Canada to Get Its First Universal Quantum Computer - HPCwire

Any leap in quantum computing multiplies the potential of a technology capable of performing calculations and simulations that are beyond the scope of current computers while facilitating the study of phenomena that have been only theoretical to date.

Last year, a group of researchers put forward the idea in the journal Nature that an alternative to quantum theory based on real numbers can be experimentally falsified. The original proposal was a challenge that has been taken up by the leading scientist in the field, Jian-Wei Pan, with the participation of physicist Adn Cabello, from the University of Seville. Their combined research has demonstrated the indispensable role of complex numbers [square root of minus one, for example] in standard quantum mechanics. The results allow progress to be made in the development of computers that use this technology and, according to Cabello, to test quantum physics in regions that have previously been inaccessible.

Jian-Wei Pan, 51, a 1987 graduate of the Science and Technology University of China (USTC) and a PhD graduate of Vienna University, leads one of the largest and most successful quantum research teams in the world, and has been described by physics Nobel laureate Frank Wilczek as a force of nature. Jian-Wei Pans thesis supervisor at the University of Vienna, physicist Anton Zeilinger, added: I cannot imagine the emergence of quantum technology without Jian-Wei Pan.

Pans leadership in the research has been fundamental. The experiment can be seen as a game between two players: real-valued quantum mechanics versus complex-valued quantum mechanics, he explains. The game is played on a quantum computer platform with four superconducting circuits. By sending in random measurement bases and measuring the outcome, the game score is obtained which is a mathematical combination of the measurement bases and outcome. The rule of the game is that the real-valued quantum mechanics is ruled out if the game score exceeds 7.66, which is the case in our work.

Covered by the scientific journal Physical Review Letters, the experiment was developed by a team from USTC and the University of Seville to answer a fundamental question: Are complex numbers really necessary for the quantum mechanical description of nature? The results exclude an alternative to standard quantum physics that uses only real numbers.

According to Jian-Wei Pan: Physicists use mathematics to describe nature. In classical physics, a real number appears complete to describe the physical reality in all classical phenomenon, whereas a complex number is only sometimes employed as a convenient mathematical tool. However, whether the complex number is necessary to represent the theory of quantum mechanics is still an open question. Our results disprove the real-number description of nature and establish the indispensable role of a complex number in quantum mechanics.

Its not only of interest regarding excluding a specific alternative, Cabello adds, the importance of the experiment is that it shows how a system of superconducting qubits [those used in quantum computers] allows us to test predictions of quantum physics that are impossible to test with the experiments we have been carrying out until now. This opens up a very interesting range of possibilities, because there are dozens of fascinating predictions that we have never been able to test, since they require firm control over several qubits. Now we will be able to test them.

According to Chao-Yang Lu, of USTC and co-author of the experiment: The most promising near-term application of quantum computers is the testing of quantum mechanics itself and the study of many-body systems.

Thus, the discovery provides not only a way forward in the development of quantum computers, but also a new way of approaching nature to understand the behavior and interactions of particles at the atomic and subatomic level.

But, like any breakthrough, the opening of a new way forward generates uncertainties. However, Jian-Wei Pan prefers to focus on the positive: Building a practically useful fault-tolerant quantum computer is one of the great challenges for human beings, he says. I am more concerned about how and when we will build one. The most formidable challenge for building a large-scale universal quantum computer is the presence of noise and imperfections. We need to use quantum error correction and fault-tolerant operations to overcome the noise and scale up the system. A logical qubit with higher fidelity than a physical qubit will be the next breakthrough in quantum computing and will occur in about five years. In homes, quantum computers would, if realized, be available first through cloud services.

According to Cabello, when quantum computers are sufficiently large and have thousands or millions of qubits, they will make it possible to understand complex chemical reactions that will help to design new drugs and better batteries; perform simulations that lead to the development of new materials and calculations that make it possible to optimize artificial intelligence and machine learning algorithms used in logistics, cybersecurity and finance, or to decipher the codes on which the security of current communications is based.

Quantum computers, he adds, use the properties of quantum physics to perform calculations. Unlike the computers we use, in which the basic unit of information is the bit [which can take two values], in a quantum computer, the basic unit is the quantum bit, or qubit, which has an infinite number of states.

Cabello goes on to say that the quantum computers built by companies such as Google, IBM or Rigetti take advantage of the fact that objects the size of a micron and produced using standard semiconductor-manufacturing techniques can behave like qubits.

The goal of having computers with millions of qubits is still a long way off, since most current quantum computers, according to Cabello, only have a few qubits and not all of them are good enough. However, the results of the Chinese and Spanish teams research make it possible to expand the uses of existing computers and to understand physical phenomena that have puzzled scientists for years.

For example, Google Quantum AI has published the observation of a time crystal through the Sycamore quantum processor for the first time in the Nature journal. A quantum time crystal is similar to a grain of salt composed of sodium and chlorine atoms. However, while the layers of atoms in that grain of salt form a physical structure based on repeating patterns in space, in the time crystal the structure is configured from an oscillating pattern. The Google processor has been able to observe these oscillatory wave patterns of stable time crystals.

This finding, according to Pedram Roushan and Kostyantyn Kechedzhi, shows how quantum processors can be used to study new physical phenomena. Moving from theory to actual observation is a critical leap and is the basis of any scientific discovery. Research like this opens the door to many more experiments, not only in physics, but hopefully inspires future quantum applications in many other fields.

In Spain, a consortium of seven companies Amatech, BBVA bank, DAS Photonics, GMV, Multiverse computing, Qilimanjaro Quantum Tech and Repsol and five research centers Barcelona Supercomputing Center (BSC), Spanish National Research Council (CSIC), Donostia International Physics Center (DIPC), The Institute of Photonic Sciences (ICFO), Tecnalia and the Polytechnic University of Valencia (UPV) have launched a new project called CUCO to apply quantum computing to Spanish strategic industries: energy, finance, space, defense and logistics.

Subsidized by the Center for the Development of Industrial Technology (CDTI) and with the support of the Ministry of Science and Innovation, the CUCO project, is the first major quantum computing initiative in Spain in the business field and aims to advance the scientific and technological knowledge of quantum computing algorithms through public-private collaboration between companies, research centers and universities. The goal is for this technology to be implemented in the medium-term future.

English version by Heather Galloway.

See the rest here:
Jian-Wei Pan: The next quantum breakthrough will happen in five years - EL PAS in English

TORONTO and SAN SEBASTIN, SPAIN Multiverse Computing, a maker of quantum computing software for the financial industry, and Xanadu, a full-stack photonic quantum computing company, announced today a joint partnership to expand Multiverses use of Xanadus open source software, PennyLane.

The partnership will enable Multiverses financial services clients to develop applications with greater speed and ease. These applications will enhance financial and banking intelligence in areas ranging from risk modeling to market forecasting.Led by Xanadus world-renowned team of scientists and developers, PennyLane has built a large and passionate following since its initial release three years ago.

PennyLane connects the most popular quantum computing platforms with the best machine learning tools using a device-agnostic and open-source approach, allowing users to train quantum computers the same way as neural networks.

With PennyLane at the core of Multiverses product suite, our financial services clients will gain access to tools and best practices in quantum programming, backed by one of the worlds largest open-source quantum communities, said Samuel Mugel, CTO ofMultiverse Computing. We see PennyLane as a critical tool for validating our product efforts, enhancing our ability to rapidly test and deploy new quantum capabilities across our financial user community.

We continue to see broader adoption of PennyLane with innovative startups like Multiverse. Xanadus open-source software is an excellent vehicle for accelerating development and reducing the time to market for new quantum products, said Rafal Janik, Xanadus Head of Product. The collective knowledge of Multiverses scientists and their clients provides feedback benefiting the broader open-source community and improving PennyLane.

More here:
Multiverse Computing and Xanadu Partner on Quantum Software for Finance - insideHPC - insideHPC

Dublin, Feb. 03, 2022 (GLOBE NEWSWIRE) -- The "Next Generation Computing Market: Bio-Computing, Brain-Computer Interfaces, High Performance Computing, Nanocomputing, Neuromorphic Computing, Serverless Computing, Swarm Computing, and Quantum Computing 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This next generation computing market report evaluates next generation computing technologies, use cases, and applications. Market readiness factors are considered along with the impact of different computational methods upon other emerging technologies.

The report provides analysis of leading-edge developments such as computer integration with human cognition via bio-computing and brain-computer interfaces. Other pioneering areas covered include leveraging developments in nanotechnology to develop more effective computing models and methods.

The report includes critical analysis of leading vendors and strategies. The report includes next generation computing market sizing for the period of 2022 - 2027.

Select Report Findings:

There are many technologies involved, including distributed computing (swarm computing), computational collaboration (bio-computing), improving performance of existing supercomputers, and completely new computer architectures such as those associated with quantum computing. Each of these approaches has their own advantages and disadvantages. Many of these different computing architectures and methods stand alone in terms of their ability to solve market problems.

Next generation computing technologies covered in this report include:

More than simply an amalgamation of technologies, the next generation computing market is characterized by many different approaches to solve a plethora of computational challenges. Common factors driving the market include the need for ever increasing computation speed and efficiency, reduced energy consumption, miniaturization, evolving architectures and business models.

High-performance Computing

High-performance computing (HPC) solves complex computational problems using supercomputers and parallel computational techniques, processing algorithms and systems. HPC leverages various techniques including computer modeling, simulation, and analysis to solve advanced computational problems and perform research activities while allowing usage of computing resources concurrently.

Quantum Computing

The commercial introduction of quantum computing is anticipated to both solve and create new problems as previously unsolvable problems will be solved. This multiplicity of developments with next generation computing makes it difficult for the enterprise or government user to make decisions about infrastructure, software, and services.

Biocomputing

Biocomputing refers to the construction and use of computers using biologically derived molecules including DNA and proteins to perform computational calculations such as storing, retrieving and processing data. The computing system functions more like a living organism or contains biological components.

Neuromorphic Computing

Neuromorphic computing refers to the implementation of neural systems such as perception, motor control, and multisensory integration for very large-scale integration systems combining analog circuits or digital circuits or mixed mode circuits, and software systems.

Neuromorphic computing leverages the techniques of neuromorphic engineering that takes inspiration from biology, physics, mathematics, computer science, and electronic engineering to develop artificial neural systems including vision systems, head-eye systems, auditory processors, and autonomous robots.

Nanocomputing

Nanocomputing refers to miniature computing devices (within 100 nanometers) that are used to perform critical tasks like representation and manipulation of data. Nanocomputing is expected to bring revolution in the way traditional computing is used in certain key industry verticals, allowing progress in device technology, computer architectures, and IC processing. This technology area will help to substantially progress implantable technologies inserted into the human body, primarily for various healthcare solutions.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction

3.0 Technology and Application Analysis3.1 High Performance Computing3.1.1 HPC Technology3.1.2 Exascale Computation3.1.2.1 Exascale Supercomputer Development3.1.2.1.1 United States3.1.2.1.2 China3.1.2.1.3 Europe3.1.2.1.4 Japan3.1.2.1.5 India3.1.2.1.6 Taiwan3.1.3 Supercomputers3.1.4 High Performance Technical Computing3.1.5 Market Segmentation Considerations3.1.6 Use Cases and Application Areas3.1.6.1 Computer Aided Engineering3.1.6.2 Government3.1.6.3 Financial Services3.1.6.4 Education and Research3.1.6.5 Manufacturing3.1.6.6 Media and Entertainment3.1.6.7 Electronic Design Automation3.1.6.8 Bio-Sciences and Healthcare3.1.6.9 Energy Management and Utilities3.1.6.10 Earth Science3.1.7 Regulatory Framework3.1.8 Value Chain Analysis3.1.9 AI to Drive HPC Performance and Adoption3.2 Swarm Computing3.2.1 Swarm Computing Technology3.2.1.1 Ant Colony Optimization3.2.1.2 Particle Swarm Optimization3.2.1.3 Stochastic Diffusion Search3.2.2 Swarm Intelligence3.2.3 Swarm Computing Capabilities3.2.4 Value Chain Analysis3.2.5 Regulatory Framework3.3 Neuromorphic Computing3.3.1 Neuromorphic Computing Technology3.3.2 Neuromorphic Semiconductor3.3.2.1 Hardware Neurons3.3.2.2 Implanted Memory3.3.3 Neuromorphic Application3.3.4 Neuromorphic Market Explained3.3.5 Value Chain Analysis3.4 Biocomputing3.4.1 Bioinformatics3.4.2 Computational Biology and Drug Discovery3.4.3 Biodata Mining and Protein Simulations3.4.4 Biocomputing Platform and Services3.4.5 Biocomputing Application3.4.6 Biocomputing Products3.4.7 Value Chain Analysis3.5 Quantum Computing3.5.1 Quantum Simulation, Sensing and Communication3.5.2 Quantum Cryptography3.5.3 Quantum Computing Technology3.5.4 Quantum Programming, Software and SDK3.5.5 Quantum Computing Application3.5.6 Value Chain Analysis3.6 Serverless Computing3.6.1 Serverless Computing Solution3.6.2 Serverless Computing Application3.6.2.1 Event Driven Computing3.6.2.2 Live Video Broadcasting3.6.2.3 Processing IoT Data3.6.2.4 Shared Delivery Dispatch System3.6.2.5 Web Application and Bakends3.6.2.6 Application Scalability3.6.2.7 Sales opportunities and Customer Experience3.6.3 Value Chain Analysis3.7 Brain Computer Interface Technology3.7.1 BCI Overview3.7.2 Invasive vs. Non-Invasive BCI3.7.3 Partially Invasive BCI3.7.4 BCI Applications3.7.5 Silicon Electronics3.7.6 Value Chain Analysis3.8 Nanocomputing3.8.1 Nanotechnology3.8.2 Nanomaterials3.8.3 DNA Nanocomputing3.8.4 Nanocomputing Market3.8.5 Value Chain3.9 Artificial Intelligence and IoT3.10 Edge Computing Network and 5G3.11 Blockchain and Virtualization3.12 Green Computing3.13 Cognitive Computing

4.0 Company Analysis4.1 Vendor Ecosystem4.2 Leading Company4.2.1 ABM Inc.4.2.2 Advanced Brain Monitoring Inc.4.2.3 Advanced Diamond Technologies Inc.4.2.4 Agilent Technologies Inc.4.2.5 Alibaba Group Holding Limited4.2.6 Amazon Web Services Inc.4.2.7 Apium Swarm Robotics4.2.8 Atos SE4.2.9 Advanced Micro Devices Inc.4.2.10 Robert Bosch GmbH4.2.11 Cisco Systems4.2.12 D-Wave Systems Inc.4.2.13 DELL Technologies Inc.4.2.14 Emotiv4.2.15 Fujitsu Ltd4.2.16 Google Inc.4.2.17 Hewlett Packard Enterprise4.2.18 Huawei Technologies Co. Ltd.4.2.19 IBM Corporation4.2.20 Intel Corporation4.2.21 Keysight Technologies4.2.22 Lockheed Martin Corporation4.2.23 Microsoft Corporation4.2.24 Mitsubishi Electric Corp.4.2.25 NEC Corporation4.2.26 Nokia Corporation4.2.27 NVidia4.2.28 Oracle Corporation4.2.29 Qualcomm Inc.4.2.30 Rackspace inc.4.3 Other Companies4.3.1 Samsung Electronics Co. Ltd.4.3.2 Toshiba Corporation4.3.3 Waters Corporation4.3.4 Gemalto N.V.4.3.5 Juniper Networks Inc.4.3.6 SAP SE4.3.7 Siemens AG4.3.8 Schneider Electric SE4.3.9 Raytheon Company4.3.10 1QB Information Technologies Inc.4.3.11 Cambridge Quantum Computing Ltd.4.3.12 MagiQ Technologies Inc.4.3.13 Rigetti Computing4.3.14 NTT Docomo Inc.4.3.15 Booz Allen Hamilton Inc.4.3.16 Airbus Group4.3.17 Volkswagen AG4.3.18 Iron.io4.3.19 Serverless Inc.4.3.20 LunchBadger4.3.21 CA Technologies4.3.22 TIBCO Software Inc.4.3.23 Salesforce

5.0 Next Generation Computing Market Analysis and Forecasts5.1 Overall Next Generation Computing Market5.2 Next Generation Computing Market by Segment5.3 High Performance Computing Market Forecasts5.4 Swarm Computing Market Forecasts5.5 Neuromorphic Computing Market Forecasts5.6 Biocomputing Market Forecasts5.7 Brain Computer Interface Market Forecasts5.8 Serverless Computing Market Forecasts5.9 Quantum Computing Market Forecasts5.10 Nanocomputing Market Forecasts5.11 NGC Market by Deployment Type5.12 NGC Market by Enterprise Type5.13 NGC Market by Connectivity Type5.14 AI Solution Market in NGC5.15 Big Data Analytics Solution Market in NGC5.16 NGC Market in IoT5.17 NGC Market in Edge Network5.18 NGC Market in Blockchain5.19 Next Generation Computing Market in Smart Cities5.20 Next Generation Computing Market in 5G5.21 Next Generation Computing Market by Region

6.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/46xbto

See the rest here:
Outlook on the Next Generation Computing Global Market to 2027 - GlobeNewswire