Category Archives: Quantum Computing

DURHAM, N.C., Feb. 3, 2022 /PRNewswire/ -- February 3, 2022, collaboration agreement was signed between Allosteric Bioscience, a company founded in 2021 integrating Quantum Computing and Artificial Intelligence with Biomedical sciences to create improved treatments for Aging and Longevity and Polaris Quantum Biotech, a company at the vanguard of Quantum Computing for drug discovery. Together, they are utilizing advancements in Quantum Computing and Artificial Intelligence for development of novel pharmaceuticals.

Improved Aging, Longevity and Aging related diseases is a lead program at Allosteric Bioscience and the focus of this agreement, supported by an investment in Polarisqb. This joint program uses Quantum Computing (QC) and artificial intelligence (AI) for creation of an inhibitor of a key protein involved in Aging that could have benefits for health representing a multibillion-dollar market. Allosteric Bioscience is using its "QAB" platform for integrating QC, AI, genetics, genomics, system biology, epigenetics, and proteomics, as well as two Aging platforms: "ALT" - Aging Longevity Targets and "ALM" Aging Longevity Modulators.

Dr. Shahar Keinan, CEO of Polarisqb stated, "Quantum Computing technology is coming of age, allowing us to revolutionize drug discovery timelines, while improving the overall profile of the designed drugs. We are excited about the joint program with Allosteric tackling Aging and Longevity using Polarisqb's Tachyon platform. The application of Quantum Computers to solving these complex questions is extraordinary."

Dr. Arthur P. Bollon, President of Allosteric Bioscience stated, "The agreement between Allosteric Bioscience and Polarisqb represents an important milestone in implementing the Allosteric Bioscience strategy of integrating the Quantum Computer and advanced AI with Biomedical sciences for creation and development of advanced treatments for Improved Aging, Longevity and Aging related diseases."

Polaris Quantum Biotech, a leader in Quantum Computing for drug discovery, created the first drug discovery platform built on a Quantum Computer. Founded in 2020 by Shahar Keinan, CEO, and Bill Shipman, CTO, Polarisqb uses cloud, quantum computing, and machine learning to process, evaluate and identify lead molecules 10,000 times faster than alternative solutions. These high-quality drug leads are taken to synthesis, testing, and licensed to partners for development within months, rather than years. Information is available at http://www.Polarisqb.com

Allosteric Biosciencefounders, Bruce Meyers, Arthur P. Bollon, Ph.D., and Peter Sordillo, Ph.D., M.D., have decades of expertise in the biotechnology industry as well as biomedical disciplines including genomics, epigenetics, systems biology, proteomics as well as oncology and quantum physics. Bruce Meyers and Dr. Bollon, founded multiple biotechnology companies including Cytoclonal Pharmaceutics (Dr. Bollon served as Chairman and CEO) which merged to create OPKO Health, a NASDAQ company with a market cap of $2 billion. Dr. Sordillo, who has a background in quantum information theory, is a leader in treating sarcomas and other cancers and managed over 50 clinical trials at leading institutions including Sloan Kettering Cancer Center.

For information about Allosteric Bioscience: Dr. Arthur P. Bollon- [emailprotected] or Bruce Meyers- [emailprotected]

For information about Polarisqb: Dr. Shahar Keinan - [emailprotected] or Will Simpson - [emailprotected].

SOURCE PolarisQB

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Quantum Computing Targets Improved Human Aging and Longevity in new Agreement between Allosteric Bioscience and Polaris Quantum Biotech - PRNewswire

As I discussed last month, unless we take actions soon, a tremendous amount of data that is today protected through the use of encryption will become vulnerable to exposure.

The reason that such a major threat exists is simple much of todays data relies on the security of what are known as asymmetric encryption algorithms, and such algorithms rely for their security on the fact that the mathematics that they use to encrypt cannot easily be reversed in order to decrypt. (For those interested in the details: the most common difficult-to-reverse mathematics employed by asymmetric encryption systems are integer factorization, discrete logarithms, and elliptic-curve discrete logarithms).

While todays computers cannot efficiently crack asymmetric encryption through the use of brute force trying all possible values in order to discover a correct key could literally take centuries, and there are no shortcuts to doing so we have already seen the dawn of so-called quantum computers devices that leverage advanced physics to perform computing functions on large sets of data in super-efficient ways that are completely unachievable with classic computers. While it has long been believed that quantum computers could potentially undermine the integrity of various forms of encryption, in 1994, an American mathematician by the name of Peter Shor showed how a quantum algorithm could quickly solve integer factorization problems transforming a theoretical risk into a time bomb. It became clear then that a powerful quantum computer utilizing Shors Algorithm could both make mincemeat out of modern encryption systems, as well as trivialize the performance of various other forms of complex math and, since then, we have already seen this happen. Just a few years ago, Googles early-generation quantum computer, Sycamore, for example, performed a calculation in 200 seconds that many experts believe would have taken the worlds then-most-powerful-classic-supercomputer, IBM Summit, somewhere between multiple days and multiple millennia to complete. Yes, 200 seconds for a de facto prototype vs multiple millennia for a mature super computer.

To protect data in the quantum computing era, therefore, we must change how we encrypt. To help the world achieve such an objective, the US National Institute of Standards and Technology (NIST) has been running a competition since 2016 to develop new quantum-proof standards for cryptography winners are expected to be announced sometime in the next year, and multiple approaches are expected to be endorsed.

Some quantum-safe encryption methods that appear to be among the likely candidates to be selected by NIST employ what are known as lattice approaches employing math that, at least as of today, we do not know how to undermine with quantum algorithms. While lattice approaches are likely to prove popular methods of addressing quantum supremacy in the near term, there is concern that some of their security might stem from their newness, and, that over time, mathematicians may discover quantum algorithms that render them potentially crackable.

Other candidates for NISTs approval utilize what is known as code-based encryption a time-tested method introduced in 1978 by Caltech Professor of Engineering, Robert McEliece; code-based encryption employs an error-correcting code, keys modified with linear transformations, and random junk data; while it is simple for parties with the decryption keys to remove the junk and decrypt, unauthorized parties seeking to decrypt face a huge challenge that remains effectively unsolvable by quantum algorithms, even after decades of analysis.

NISTs candidates also utilize various other encryption approaches that, at least as of now, appear to be quantum safe.

Of course, security is not the only factor when it comes to deciding how to encrypt practicality plays a big role as well. Any quantum-safe encryption approach that is going to be successful must be usable by the masses; especially as the world experiences the proliferation of smart devices constrained by minimal processing power, memory, and bandwidth, mathematical complexity and/or large minimum key sizes can render useless otherwise great encryption options.

In short, many of todays popular asymmetric encryption methods (RSA, ECC, etc.) will be easily crackable by quantum computers in the not-so-distant future. (Modern asymmetric systems typically use asymmetric encryption to exchange keys that are then used for symmetric encryption if the asymmetric part is not secure, the symmetric part is not either.) To address such risks we have quantum-safe encryption, a term that refers to encryption algorithms and systems, many of which already exist, that are believed to be resilient to cracking attempts performed by quantum computers.

While NIST is working on establishing preferred methods of quantum-safe encryption, sensitive data is already, now, being put at risk by quantum supremacy; as such, for many organizations, waiting for NIST may turn out to be a costly mistake. Additionally, the likely rush to retrofit existing systems with new encryption methods once NIST does produce recommendations may drive up the costs of related projects in terms of both time and money. With quantum-safe encryption solutions that leverage approaches submitted to NIST already available and running on todays computers, the time to start thinking about quantum risks is not somewhere down the road, but now.

This post is sponsored byIronCAP. Please click the link to learn more about IronCAPs patent protected methods of keeping data safe against not only against todays cyberattacks, but also against future attacks from quantum computers.

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Which Types Of Encryption Will Remain Secure As Quantum Computing Develops - And Which Popular Ones Will Not - Joseph Steinberg

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

MONTREAL, Feb. 03, 2022 (GLOBE NEWSWIRE) -- infinityQTechnology Inc. (https://www.infinityq.tech/), thecreator ofquantum analog computing, has announced the closing of their seed extension round with strategic investors, such as Hevella Capital, iGlobe Partners, and Westcott Investment Group,along with returning investors Cato Stonex and Louis Vachon. This will aid in the development of the next generation of their technology and bring applications to the market- which will beat least 100 timescomputationally faster than its predecessor,while improving its already ultra-low energy consumption by 10 times. The development of products based on their technology will bring speedup to different industries, starting with gaming.

We are very pleased to supportinfinityQon shaping tomorrow and on contributing to one of the most groundbreaking technologies of the future, says MarkusKreipl,Investment Manager atHevellaCapital. WithinfinityQsquantum analog computing technology, problems can be solved 100,000x faster and significant progress can be made in medicine, physics, chemistry, banking, gaming and many more. [...] Whereas the road to a classical programmable, fault-tolerant quantum computer is still long,infinityQsquantum analogtechnology is already up and running on its way to further increasequbitsto 5,000+soon.InApril 2021, the company announced thereveal of their independent cloud platform, infinityQube,focusing onoptimization problems. With new capabilities, including graph-based problems, the company is working on the commercialization of their solutions to the gaming industry. They will continue developing the nextgeneration of their chip, codenamed Cper, which will be designed to seamlessly integrate with systems to solve complex problems with an increased computational speed up. We are incredibly excited to back a world classwomen-led team that is going to be a pioneer incommercializingquantum[speed-up]not tomorrowbut today, said Court Westcott, MP at Westcott Investment Group.

Based on infinityQs novel approach using the superposition of states to explore the whole space of solutions at once, they can solve computationally intensive problems such as world generation in your favorite video games.

The closing of thisseed extension round shows promise for the young startup in the Quebec ecosystem.Since June 2020,the2-year-oldcompany has raisednearly $5mn USD from investors spanningtheglobe from the US to Singapore.infinityQ isnow focusing on its first commercial efforts. With the completion of this seed extension round, infinityQ will be able to go from prototypes to commercially available products that will allow users to significantly reduce the processing time required to solve complex computational problems and in some cases to even be able to solve currently unsolvable problems,says Ricardo Pascoe, Chairman at infinityQ. infinityQs quantum analog technology will revolutionize the world of classical, quantum and supercomputing.

Weincorporated our company in January 2020, just before the pandemicchanged ourentire lives. Now more than ever, we understand that the needfor computational speed up is crucial to making our communities more resilient to idiosyncraticevents. Our mission is to leave the world better than how we found it, so we will focus on going where thefirstneedisfor computational speed-up, notsolelywhere it canbenefit the bottom line, says Aurelie Helouis, CEO & Founder of infinityQ.

About infinityQ

infinityQ, a women-founded and engineered company, is the developer of quantum analog computing devices, based in Montreal, Canada. The company brings to market the computational speed promised by quantum computing, by re-imagining the analog paradigm. Leveraging the first of its kind technology, infinityQ is open to partnerships to utilize their cloud platform capabilities to tackle the most complex problems - from the gaming to pharmaceutical industries in due course. Its low power consumption saves clients over 100 times in energy costs and enables computational power for computationally intensive problems. For more information, visit https://www.infinityq.tech/ and follow us on social media @infinityqtech.

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infinityQ closes seed-extension round to bring their technology to commercialization - GlobeNewswire

The Analyst Roundtable Launched to Provide Insight into Whats Going On in the Quantum Ecosystem

Have you ever watched those Sunday morning political talk shows on TV that show analysts debating about the latest happenings in Washington and thought we need something like this for quantum? Well, now you have one! The Analyst Roundtable has been launched with participants Shahin Khan, David Shaw, James Sanders, Andr M. Knig, and Doug Finke to discuss the latest news from the quantum world and provide insights and what might happen next. In addition, the analysts will track their previous predictions for the quantum tech space and provide updates on their status. This group of five first got together for a panel session at the Q2B 2021 conference in December and felt it was so worthwhile that they decided to do this on a regular basis and put it on video. The first Season 1, Episode 1 has just been posted online at The Analyst Roundtable. Subsequent episodes will take place on a regular basis so keep a watch out so you can catch Episode 2 and all the follow-on episodes. Just like those Sunday morning political shows, the analysts will often agree butnever without a vigorous debate that will make you think hard about how the industry might develop.

January 31, 2022

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The Analyst Roundtable Launched to Provide Insight into What's Going On in the Quantum Ecosystem - Quantum Computing Report

Atom Computing

Atom Computing, a quantum computing company headquartered in Berkeley, California, seems to be on the fast track for funding.

This week Atom announced it had secured$60MSeries B round of financing led by Third Point Ventures. The round also included Prime Movers Lab and insiders Innovation Endeavors, Venrock, and Prelude Ventures.

Atom was founded in 2018 with $5M in seed funds by Benjamin Bloom and Jonathan King. Over two years, the duo used those funds to secretly staff and build a quantum computer with a unique technology. What set Atoms computer apart from other quantum machines was that it was the first quantum computer to use nuclear-spin qubits created from optically-trapped neutral atoms.

First-Generation Quantum Computer, Phoenix

In July 2021, Atom Computingreceived an additional $15M in Series A funding from investorsVenrock, Innovation Endeavors, and Prelude Ventures, plus three grants from the National Science Foundation.

According to a statement on Atom's press release by Rob Hays, Atom Computing's president and CEO, there was no shortage of investment interest. "We've seen a tremendous amount ofinvestor interest in what many are starting to believe is a more promising way to scale quantum computers neutral atoms, he said. Our technology advancements and this investment give us the runway to continue our focus on delivering the most scalable and reliable quantum computers."

Whats different about its technology

Most of todays quantum computers use two types of qubits, either superconducting (IBM & Google) or trapped-ion (Quantinum or IonQ). Amazon doesnt yet have a quantum computer, but it plans to build one using superconducting hardware. In contrast, Psi Quantum and Xanadu use photons of light that act as qubits.

Atom computing chose to use a different technology -nuclear-spin qubits made from neutral atoms.Phoenix, the name of Atoms first-generation, gate-based quantum computer platform, uses 100 optically trapped qubits.

These qubits are created from an isotope of Strontium, a naturally occurring element considered to be a neutral atom. Goingdeeper, neutral atoms have equal numbers of protons and electrons. However, isotopes of Strontium have varying numbers of neutrons. These differences in neutrons produce different energy levels in the atom that allow spin qubits to be created. Atom Computing uses the isotope Strontium-87 and takes advantage of its unique energy levels to create spin qubits.

It is important for qubits to remain in a quantum state long enough to complete running the quantum circuits. The time that a qubit retains its quantum state is called its coherence time. Neutral atom qubits have a longer coherence time than most other qubit technologies.

Lasers instead of wires are used for precision control of the strontium-87 qubits. Lasers eliminates wiring, which can create radiation and noise that negatively affects coherence.

There are many other technical reasons for using neutral atom spin qubits but beyond the scope of this article.

Second generation plans

Artist rendering of Atom Computings second-generation quantum

With its latest $60M Series B funding, Atom Computing plans to build a larger, second-generation neutral-atom quantum computer. Many additional qubits will give the system increased computational ability. Atom Computing is currently likely to have undisclosed customer trials and use cases in progress. However, we expect new and more significant use cases to be publicly announced once the new quantum system is operational.

Patrick Moorhead, president and chief analyst of Moor Insights and Strategy, said, Qubit coherence, fidelity, and scalability are essential factors for achieving quantum advantage. Atom Computing has already demonstrated that Phoenix, its first-generation 100+ nuclear-spin qubit quantum processor, has the potential to check all those boxes. With the additional $60M Series B funding, I believe Atom could build a large qubit, second-generation quantum system that either brings it to the edge of quantum advantage or possibly even achieves it.

Analyst notes:

Note: Moor Insights & Strategy writers and editors may have contributed to this article.

Moor Insights & Strategy, like all research and tech industry analyst firms, provides or has provided paid services to technology companies. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking, or speaking sponsorships. The company has had or currently has paid business relationships with 88,A10 Networks,Advanced Micro Devices, Amazon,Ambient Scientific,AnutaNetworks,Applied Micro,Apstra,Arm, Aruba Networks (now HPE), AT&T, AWS, A-10 Strategies,Bitfusion, Blaize, Box, Broadcom, Calix, Cisco Systems, Clear Software, Cloudera,Clumio, Cognitive Systems, CompuCom,CyberArk,Dell, Dell EMC, Dell Technologies, Diablo Technologies,Dialogue Group,Digital Optics,DreamiumLabs, Echelon, Ericsson, Extreme Networks, Flex, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Revolve (now Google), Google Cloud,Graphcore,Groq,Hiregenics,HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM,IonVR,Inseego, Infosys,Infiot,Intel, Interdigital, Jabil Circuit, Konica Minolta, Lattice Semiconductor, Lenovo,Linux Foundation,Luminar,MapBox, Marvell Technology,Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco),Mesophere, Microsoft, Mojo Networks, National Instruments, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek,Novumind, NVIDIA,Nutanix,Nuvia (now Qualcomm), ON Semiconductor, ONUG, OpenStack Foundation, Oracle, Panasas,Peraso, Pexip, Pixelworks, Plume Design, Poly (formerly Plantronics),Portworx, Pure Storage, Qualcomm, Rackspace, Rambus,RayvoltE-Bikes, Red Hat,Residio, Samsung Electronics, SAP, SAS, Scale Computing, Schneider Electric, Silver Peak (now Aruba-HPE), SONY Optical Storage,Springpath(now Cisco), Spirent, Splunk, Sprint (now T-Mobile), Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, TE Connectivity,TensTorrent,TobiiTechnology, T-Mobile, Twitter, Unity Technologies, UiPath, Verizon Communications,Vidyo, VMware, Wave Computing,Wellsmith, Xilinx,Zayo,Zebra,Zededa, Zoho, andZscaler.Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is a personal investor in technology companiesdMYTechnology Group Inc. VI andDreamiumLabs.

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Atom Computing Plans To Build A Bigger And Better High-Tech Quantum Computer With Its Latest $60 Million Series B Funding - Forbes

Security today relies on cryptography, an information-protection technology that uses algorithms to transform messages into a form that is difficult for a third party to decipher. For decades, computers and networks have relied on cryptography to provide confidentiality and integrity, and for common tasks like authentication. Arguably, it has become the backbone of modern cybersecurity as we put more of our lives online.

Cryptography depends on the fact that todays computers dont have the power to decode encrypted data in a realistic time frame (such as in our lifetimes). But that changes as we march closer toquantum computers machines that use the properties of quantum physical phenomena to perform algorithms at lightning speeds compared with todays fastest computers. A mature quantum computer could crack a private cryptography key from its public key counterpart in minutes (compared with thousands of years with a standard processor). Its important to note that quantum-computer prototypes are still gradually increasing in size and capabilities and dont yet pose a threat. Eventually, however, they will become powerful enough to attack widely used public key cryptography.

Cryptography and quantum computing are on a collision course that will threaten this cornerstone technology underlying cybersecurity. The systems weve built to power our digital lives arent ready for the strength of our public key cryptography standards (RSA, EC, and DSA)to be undermined. (Thisblog postexplains this in greater detail.) We must prepare for a future where many of ourcurrent cryptographic algorithms dont work. The solution will mean deploying necessary changes as anindustry, which will take time and is considerably more complex than it may seem.

Cryptography: Whats at StakeStored data is encrypted usingsymmetric key algorithms(such asAdvanced Encryption Standard, or AES), which are less threatened by quantum computing. Exposures are more about communication channels and the key establishment portion of theTransport Layer Security(TLS) protocol. In TLS, two parties use public key cryptography to authenticate one another and then negotiate a shared symmetric key for the session. The result is a session key that enables secure communication between the two parties.

Why does this matter if quantum computing is not yet a thing and the threat is limited to certain situations?

The first reason is that an attacker can record encrypted data now in preparation for breaking the encryption later, once scalable quantum computing is available. This is known as a harvest-now, decrypt-later attack, and it is particularly threatening for long-lived information assets (think bank account numbers, for example). As we get closer to thequantum-computing threat, vulnerable data with shorter lifespans also becomes a concern.

To read the complete article, visit Dark Reading.

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Crypto Agility: Solving for the inevitable Urgent Comms - Urgent Communications

PALO ALTO, Calif., Jan. 31, 2022 (GLOBE NEWSWIRE) -- D-Wave Government Inc., the leader in quantum computing systems, software, and services, and the only company developing both annealing and gate-model quantum computers, today announced they have joined Hudson Institutes Quantum Alliance Initiative (QAI), a consortium of companies, institutions, and universities whose mission is to raise awareness and develop policies that promote the critical importance of U.S. leadership in quantum technology.

The collaboration between the two organizations is a natural next step for D-Wave, which is well-known for developing the worlds first commercial quantum computer and continues to encourage practical quantum computing use cases among enterprise, academic, and government customers. As the only quantum computing company developing both annealing and gate-model quantum computers, D-Wave offers a unique perspective on the importance of inclusive policies that allow for access across quantum technologies.

D-Wave continues to be a leader in quantum policy thought leadership, working to expand accessibility to the technology, educate on different capabilities for technological advancements, promote workforce development to address the industry talent gap, and foster public-private partnerships aimed at solving key public sector needs. By joining the Hudson Institutes QAI, the company will connect with a consortium whose mission is to raise public awareness among global governments to promote quantum policies and government programs which support and foster a robust quantum industry.

"We are delighted to have D-Wave join us as our newest sponsoring member of the Quantum Alliance Initiative," says the Hudson Institute program's director Arthur Herman, "D-Wave was one of the earliest pioneers in bringing quantum-based technology directly into the mainstream commercial sector.Quantum information science will dominate the 21stcentury; we at QAI are happy to have D-Wave joining us in helping to shape that future."

D-Waves mission has always been centered on practical quantum computing and building technology that businesses, governments, universities, and other organizations across the globe can harness to create real-world value and impact, today. Joining QAIs impressive international quantum community will allow the company to continue championing policies that will further quantum computings development, progress, and future on an international political stage.

D-Wave is proud to join the other members of the Quantum Alliance Initiative in fostering an increased understanding of current quantum capabilities and to support policy initiatives for the industry, said Allison Schwartz, Vice President, Global Government Relations & Public Affairs at D-Wave. QAI has worked with global policy makers to increase quantum education, promote use of the technology, and showcase viable use cases today and in the future. Through this relationship, D-Wave will add to the discussions around quantum policy initiatives and contribute to an expanded global understanding of the industry and technology capabilities.

To learn more about D-Waves quantum technology and use cases, visit their website. For more information on Hudson Institutes QAI, click here.

About D-Wave Government Inc.

D-Wave is the leader in the development and delivery of quantum computing technology, software, and services, and the worlds first commercial supplier of quantum computers. D-Wave Government Inc., a U.S. subsidiary, was formed in 2013 to provide D-Waves quantum computing technology to the U.S. government. D-Waves quantum technology has been used by some of the worlds most advanced organizations including Forschungszentrum Jlich, Lockheed Martin, Google, NASA Ames, Oak Ridge National Laboratory, and Los Alamos National Laboratory. D-Wave has been granted more than 200 US patents and has published over 100 scientific papers, many of which have appeared in leading science journals including Nature, Science and Nature Communications.

ContactD-Wave Systems Inc.dwave@launchsquad.com

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D-Wave Joins the Hudson Institute's Quantum Alliance Initiative - GlobeNewswire

DUBLIN--(BUSINESS WIRE)--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.

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/jk6rh5

Read the rest here:

Global Next Generation Computing Market (2022 to 2027) - Featuring ABM, Cisco Systems and Google Among Others - ResearchAndMarkets.com - Business Wire

Johannes Oberreuter, Quantum Computing practice lead and data scientist at Reply, spoke to Information Age about how quantum computing is helping businesses to meet objectives

Quantum is emerging as a new vehicle for business problem solving.

Quantum computing is an evolving technology that promises to enhance an array of business operations. Based on quantum mechanics that focus on the smallest dimensions of nature molecules, atoms and subatomic particles quantum computers are set to provide faster solutions to complex business problems, through testing multiple possible solutions for a problem simultaneously.

The basis for quantum computing is a unit of information known as a qubit; unlike bits, which can only have the values zero or one, can come in the form of anything in between, which allows for this new approach to become possible, and is called a superposition. Combined, multiple qubits can produce many outcomes at the same time. Every extra qubit doubles the search space, which therefore grows exponentially.

Many companies are looking into how quantum can bolster industries and provide new use cases for businesses. One organisation thats exploring this space is Reply, which has been developing solutions for optimisation in logistics, portfolio management and fault detection, among other areas.

Discussing how Reply is helping to provide possible use cases to its clients, quantum computing expert Johannes Oberreuter said: We work on a level which translates the problem into a quantum language that is as universal as possible, and doesnt go too deep into the hardware.

The first thing weve found thats delivering value now is the domain of optimisation problems. An example is the travelling salesman problem, which has lots of applications in logistics, where complexities and constraints also need to be accounted for, like during the pandemic.

Very often, problems, which are found too complex to be optimised on common hardware, are tackled by some heuristics. Usually, theres a team or a person with experience in the domain, who can help with this, but they dont know yet that there are better solutions out there now. Quantum computing allows for problems being presented in a structured way similar to a wish list, containing all business complexities. They are all encoded into a so-called objective function, which can then be solved in a structured way.

Companies have used all sorts of algorithms and brain power to try to solve optimisation problems. Finding the optimum with an objective function is still a difficult problem to solve, but here a quantum computer can come to the rescue.

Pushing parameters

According to Oberreuter, once a quantum computer becomes involved in the problem solving process, the optimal solution can really be found, allowing businesses to find the best arrangements for the problem. While current quantum computers, which are suitable for this kind of problems, called quantum annealers now have over 5,000 qubits, many companies that enlist Replys services often find that problems they have require more than 16,000-20,000 variables, which calls for more progress to be made in the space.

You can solve this by making approximations, commented the Reply data scientist. Weve been writing a program that is determining an approximate solution of this objective function, and we have tested it beyond the usual number of qubits needed.

The system is set up in a way that prevents running time from increasing exponentially, which results in a business-friendly running time of a couple of seconds. This reduces the quality of the solution, but we get a 10-15% better result than what business heuristics are typically providing.

Through proofs-of-concepts, Reply has been able to help clients to overcome the challenge of a lack of expertise in quantum. By utilising and building up experience in the field, a shoulder-to-shoulder approach helps to clarify how solutions can be developed more efficiently.

Machine learning has risen in prominence over the last few years to aid automation of business processes with data, and help organisations meet goals faster. However, machine learning projects can sometimes suffer from lack of data and computational expense. To combat this, Reply has been looking to the problem solving capabilities brought by quantum computing.

Oberreuter explained: What weve discovered with quantum machine learning is you can find better solutions, even with the limited hardware thats accessible currently. While there will probably never be an end-to-end quantum machine learning workflow, integration of quantum computing into the current machine learning workflow is useful.

Some cloud vendors now offer quantum processing units (QPUs). In a deep learning setup for complex tasks, you could easily rent it from the cloud providers by individual calls to experiment, if it improves your current model.

What weve found interesting from our contribution towards the quantum challenge undertaken by BMW and AWS, is the marriage of classical machine learning models with quantum models. The former is really good at extracting attributes from unstructured data such as images, which are then joined by a quantum representation which provides an advantage for classification.

How organisations can drive value from AI on the edge

Mike Ellerton, partner at Go Reply, spoke to Information Age about Replys recent research conducted into edge AI, and how organisations can drive value from the technology. Read here

Additionally, quantum technologies are being explored for cyber security, with the view that soon quantum computers can solve problems that are currently insurmountable for todays technologies. A particular algorithm thats been cited by Reply, that could be solved by quantum computing, is the one used for RSA key cryptography, which while trusted to be secure now, is estimated to need 6000 error-free qubits to be cracked in the space of two weeks.

Quantum technology for cyber security is now on the shelf, and were offering this to our clients to defend against this threat, said Oberreuter. Quantum mechanics have a so-called no-cloning theorem, which prevents users from copying messages sent across a communication channel. The crux is that in order for this to work, you need a specialised quantum channel.

We have experts who specialise in cyber security, that have been leading the effort to craft an offering for this.

Reply is a network of highly specialised industry companies, that helps clients across an array of sectors to optimise and integrate processes, applications and devices using the latest technologies. Established in 1996, the organisation offers services for capabilities including quantum, artificial intelligence (AI), big data, cloud and the Internet of Things (IoT). More information on the services that Reply provides can be found here.

This article was written as part of a paid-for content campaign with Reply

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How quantum computing is helping businesses to meet objectives - Information Age