Archive for the ‘Quantum Computing’ Category

Jian-Wei Pan: The next quantum breakthrough will happen in five years – EL PAS in English

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.

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

Multiverse Computing and Xanadu Partner on Quantum Software for Finance – insideHPC – insideHPC

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.

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

Outlook on the Next Generation Computing Global Market to 2027 – GlobeNewswire

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

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Outlook on the Next Generation Computing Global Market to 2027 - GlobeNewswire

Quantum Computing in Transportation Market Strategy, Industry Latest News, Top Company Analysis, Research Report Analysis and Share by Forecast 2026 -…

The Quantum Computing in Transportation market report gathers information from reliable primary and secondary sources to infer the important factors that will impact the industry expansion in the forthcoming years. It analyzes the past and present business scenario to predict figures on growth rate, revenue, shares, and other critical factors.

According to the report, the market value is expected to increase at XX% CAGR over 2021-2026, subsequently reaching a valuation of USD XX during the analysis period.

Request Sample Copy of this Report @ https://www.getnewsalert.com/request-sample/14048

The goal of the research is to assist firms in developing solid contingency plans against the prevalent and upcoming obstacles by providing a complete review of this vertical. This is accomplished by segmenting this business sphere into sub-markets and providing insights into their performance and potential, followed by a thorough examination of the competitive trends.

Key inclusions in the Quantum Computing in Transportation market report:

Quantum Computing in Transportation market segments covered in the report:

Regional bifurcation: North America, Europe, Asia-Pacific, South America, Middle East & Africa, South East Asia

Product types: Traffic Control and Transport Mode Management

Applications spectrum: Government Agency , Fleet Management and Other

Competitive dashboard: IBM , Google , Rigetti Computing , Microsoft , D-Wave Solutions , Intel , Origin Quantum Computing Technology and Anyon Systems Inc

The scope of the Report:

This Quantum Computing in Transportation Market Research/analysis Report Contains Answers To Your Following Questions:

Reasons to Buy the Report:

MAJOR TOC OF THE REPORT:

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Quantum Computing in Transportation Market Strategy, Industry Latest News, Top Company Analysis, Research Report Analysis and Share by Forecast 2026 -...

Is It Too Early to Invest in Quantum Computing? – CMSWire

PHOTO:Manuel on Unsplash

Much has been said in recent months about how new technology has helped companies navigate the COVID-19 pandemic, enabling the digital workplace and facilitating remote work. Perhaps a less popular conversation, however, is how other emerging technologies are also gaining traction at the enterprise level.

Quantum computing, for instance, is one such technology that is now regarded as likely to disrupt enterprise computing in the coming years. Quantum computers take advantage of quantum states at the atomic and subatomic level to perform calculations at a speed and sophistication substantially greater than existing computers.

While the technology is still in its early days, tech giants are taking big leaps to try to dominate the market an indication there could be broader applications for quantum computing in the near future.

There may be no way for enterprise leaders who balk at introducing new technology that could disrupt their already disrupted digital transformation efforts to get away from quantum computing. Big technology companies have already started throwing lots of money at it in hopes of playing a role in this emerging market, if not dominate it.

LastDecember,CBInsights took a deeper dive into the role Big Tech is playing and found that, like many other areas of the digital workplace, Google, Microsoft, Amazon, IBM and Intel are already starting to carve up the market, leaving little space for smaller, innovative companies. The report is worth a look, especially for tech buyers and strategists in enterprises able to invest in quantum in the next five years.

Among the findings:

In fact, the report argues that quantum will be so important globally in the coming years that we can expect quantum-forward big tech companies, including China-based Baidu and Alibaba, to be drawn deeper into political debates around computing and national agendas.

Related Article: Rebooting the Future With Quantum Computing

The rapid pace of development of quantum computing shouldn't surprise anyone, though. In 2019, IBMs "Coming Soon to Your Business: Quantum Computing" report stated that because quantum mechanics describe how nature works at a fundamental level, quantum computing is well suited to model processes and systems that occur in nature.

According to the report, this potent capability could open the door to, for example, electric carmakers developing longer-life batteries, biotech startups rapidly developing drugs tailored to an individual patient, or more efficient fertilizer manufacturing, with exciting implications for growing the worlds food.

All of this is speculative, of course, and part of the reason why the technology is being dismissed by most enterprises at this time. But while no one has yet delivered a mathematical proof confirming that quantum computing will confer an exponential speedup for optimization problems, the report said, researchers are working on demonstrating this heuristically.

"Forward-thinking companies are already exploring solving optimization problems using quantum computing in their quest to leap ahead of competitors. Their foresight may turn to advantage after the first demonstrations of quantum advantage in optimization are confirmed," the report read.

Related Article:How Close Are IBM's Quantum Computing Predictions to Reality?

There is evidence to suggest that quantum computing is already starting to insinuate itself into the digital workplace.

Jitesh Lalwani, founder of India-basedArtificial Brain, which develops a SaaS platform for businesses, said it's not surprising since many complex problems that cannot be solved by existing computers, including drug discovery, protein folding and last-mile delivery optimization, can be solved by quantum computers. The result is that quantum computers could provide solutions to complex problems across sectors, from finance and healthcare, to logistics and space.

But Big Techs interest in quantum stems from two different possible offerings:

So, who will come out on top? Although it is too early to say this, IBM seems to have a considerable lead over other companies when it comes to hardware and software libraries. Additionally, Lalwani said, there are many quantum startups that lead software development in small companies.

Related Article: Rebooting the Future With Quantum Computing

Trying to identify a top player in a field that has yet to develop may seem a tad premature, according to tech advisor and entrepreneur Vaclav Vincalek of Canada-based 555 vCTO, which advises startups and growing companies on technology. He said that could lead some to believe that quantum computers are production-ready, that they'll replace "classical" computers shortly, and quantum computers are faster.

Quantum computers are still a lab and research thing," he said. "Even the case studies coming from D-Wave, the most advanced quantum computer commercially available today, show that the practical side of quantum computers is years away."

Vincalek said quantum computers will be good at optimization tasks, computational protein design in drug development, financial modeling, traffic optimization, cybersecurity and other specific problems. But will a quantum computer help you with your next project? Probably not yet.

There is still lots of work that all the vendors have to put in to make it, he said.

That does not mean to write them off entirely. CIOs and CTOs seeking new technologies that will provide their company with a competitive edge in five years should consider quantum computing. It may be too early to implement but definitely not too early to start planning to get ahead of the competition.

Related Article: Quantum Computing: Challenges, Trends and the Road Ahead

Travis Lindemoen, managing director of IT staffing companynexus IT Group, said it's not surprising that the tech titans have the know-how and assets to maintain headway in quantum computing.

But the market isn't exactly playing out as expected by many. The industry expected a round of acquisitions and mergers between major corporations and smaller ones in 2021, he said.

"[But] Rigetti and IonQ, the smaller quantum registration equipment continued to operate independently in 2020," he said.

There are numerous explanations for why these firms were not acquired by major industry pioneers in 2021, from a considerable increase in rivalry to the financial impact of the COVID-19 pandemic. Lindemoen said there is still potential for acquisitions in the near future, pointing to the fact that other major equipment manufacturers have entered the quantum market in 2021.

Toshiba Corporation, for example, announced its Quantum Computing Key Distribution (QKD) framework business in October, estimating that its high level cryptographic innovation for information security will generate $3 billion in revenue by 2030.

The simple fact of the matter, Lindemoen said, is that it is still far too early to see who is going to emerge as the top player in the quantum market.

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Is It Too Early to Invest in Quantum Computing? - CMSWire