Category Archives: Quantum Computer
Study combines quantum computing and generative AI for drug discovery – Phys.org
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Insilico Medicine, a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it combined two rapidly developing technologies, quantum computing and generative AI, to explore lead candidate discovery in drug development and successfully demonstrated the potential advantages of quantum generative adversarial networks in generative chemistry.
The study, published in the Journal of Chemical Information and Modeling, was led by Insilico's Taiwan and UAE centers which focus on pioneering and constructing breakthrough methods and engines with rapidly developing technologiesincluding generative AI and quantum computingto accelerate drug discovery and development.
The research was supported by University of Toronto Acceleration Consortium director Aln Aspuru-Guzik, Ph.D., and scientists from the Hon Hai (Foxconn) Research Institute.
"This international collaboration was a very fun project," said Aln Aspuru-Guzik, director of the Acceleration Consortium and professor of computer science and chemistry at the University of Toronto. "It sets the stage for further developments in AI as it meets drug discovery. This is a global collaboration where Foxconn, Insilico, Zapata Computing, and University of Toronto are working together."
Generative Adversarial Networks (GANs) are one of the most successful generative models in drug discovery and design and have shown remarkable results for generating data that mimics a data distribution in different tasks. The classic GAN model consists of a generator and a discriminator. The generator takes random noises as input and tries to imitate the data distribution, and the discriminator tries to distinguish between the fake and real samples. A GAN is trained until the discriminator cannot distinguish the generated data from the real data.
In this paper, researchers explored the quantum advantage in small molecule drug discovery by substituting each part of MolGAN, an implicit GAN for small molecular graphs, with a variational quantum circuit (VQC), step by step, including as the noise generator, generator with the patch method, and quantum discriminator, comparing its performance with the classical counterpart.
The study not only demonstrated that the trained quantum GANs can generate training-set-like molecules by using the VQC as the noise generator, but that the quantum generator outperforms the classical GAN in the drug properties of generated compounds and the goal-directed benchmark.
In addition, the study showed that the quantum discriminator of GAN with only tens of learnable parameters can generate valid molecules and outperforms the classical counterpart with tens of thousands parameters in terms of generated molecule properties and KL-divergence score.
"Quantum computing is recognized as the next technology breakthrough which will make a great impact, and the pharmaceutical industry is believed to be among the first wave of industries benefiting from the advancement," said Jimmy Yen-Chu Lin, Ph.D., GM of Insilico Medicine Taiwan and corresponding author of the paper. "This paper demonstrates Insilico's first footprint in quantum computing with AI in molecular generation, underscoring our vision in the field."
Building on these findings, Insilico scientists plan to integrate the hybrid quantum GAN model into Chemistry42, the Company's proprietary small molecule generation engine, to further accelerate and improve its AI-driven drug discovery and development process.
Insilico was one of the first to use GANs in de novo molecular design, and published the first paper in this field in 2016. The Company has delivered 11 preclinical candidates by GAN-based generative AI models and its lead program has been validated in Phase I clinical trials.
"I am proud of the positive results our quantum computing team has achieved through their efforts and innovation," said Alex Zhavoronkov, Ph.D., founder and CEO of Insilico Medicine. "I believe this is the first small step in our journey. We are currently working on a breakthrough experiment with a real quantum computer for chemistry and look forward to sharing Insilico's best practices with industry and academia."
More information: Po-Yu Kao et al, Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry, Journal of Chemical Information and Modeling (2023). DOI: 10.1021/acs.jcim.3c00562
The data acquisition code and source codes associated with this study are publicly available at: github.com/pykao/QuantumMolGAN-PyTorch
Journal information: Journal of Chemical Information and Modeling
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Study combines quantum computing and generative AI for drug discovery - Phys.org
Combining generative AI and quantum computing to accelerate drug discovery – News-Medical.Net
The study, published May 13 in the American Chemical Society's Journal of Chemical InformInsilico Medicine ("Insilico"), a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it combined two rapidly developing technologies, quantum computing and generative AI, to explore lead candidate discovery in drug development and successfully demonstrated the potential advantages of quantum generative adversarial networks in generative chemistry.ation and Modeling, a leading journal in computational modeling, was led by Insilico's Taiwan and UAE centers which focus on pioneering and constructing breakthrough methods and engines with rapidly developing technologies including generative AI and quantum computing to accelerate drug discovery and development. The research was supported by University of Toronto Acceleration Consortium director Aln Aspuru-Guzik, PhD, and scientists from the Hon Hai (Foxconn) Research Institute.
This international collaboration was a very fun project. It sets the stage for further developments in AI as it meets drug discovery. This is a global collaboration where Foxconn, Insilico, Zapata Computing, and University of Toronto are working together."
Aln Aspuru-Guzik, director of the Acceleration Consortium and professor of computer science and chemistry at the University of Toronto
Generative Adversarial Networks (GANs) are one of the most successful generative models in drug discovery and design and have shown remarkable results for generating data that mimics a data distribution in different tasks. The classic GAN model consists of a generator and a discriminator. The generator takes random noises as input and tries to imitate the data distribution, and the discriminator tries to distinguish between the fake and real samples. A GAN is trained until the discriminator cannot distinguish the generated data from the real data.
In this paper, researchers explored the quantum advantage in small molecule drug discovery by substituting each part of MolGAN, an implicit GAN for small molecular graphs, with a variational quantum circuit (VQC), step by step, including as the noise generator, generator with the patch method, and quantum discriminator, comparing its performance with the classical counterpart.
The study not only demonstrated that the trained quantum GANs can generate training-set-like molecules by using the VQC as the noise generator, but that the quantum generator outperforms the classical GAN in the drug properties of generated compounds and the goal-directed benchmark. In addition, the study showed that the quantum discriminator of GAN with only tens of learnable parameters can generate valid molecules and outperforms the classical counterpart with tens of thousands parameters in terms of generated molecule properties and KL-divergence score.
Quantum computing is recognized as the next technology breakthrough which will make a great impact, and the pharmaceutical industry is believed to be among the first wave of industries benefiting from the advancement. This paper demonstrates Insilico's first footprint in quantum computing with AI in molecular generation, underscoring our vision in the field."
Jimmy Yen-Chu Lin, PhD, GM of Insilico Medicine Taiwan and corresponding author of the paper
Building on these findings, Insilico scientists plan to integrate the hybrid quantum GAN model into Chemistry42, the Company's proprietary small molecule generation engine, to further accelerate and improve its AI-driven drug discovery and development process.
Insilico was one of the first to use GANs in de novo molecular design, and published the first paper in this field in 2016. The Company has delivered 11 preclinical candidates by GAN-based generative AI models and its lead program has been validated in Phase I clinical trials.
"I am proud of the positive results our quantum computing team has achieved through their efforts and innovation," said Alex Zhavoronkov, PhD, founder and CEO of Insilico Medicine. "I believe this is the first small step in our journey. We are currently working on a breakthrough experiment with a real quantum computer for chemistry and look forward to sharing Insilico's best practices with industry and academia."
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Combining generative AI and quantum computing to accelerate drug discovery - News-Medical.Net
Quantum computing and the future of bank tech | ABA Banking Journal – ABA Banking Journal
By Ryan Jackson
While its not critical for most people to understand how quantum computing works, it is a concept of growing importance for industries that use encryption and algorithms, including banking.
One way to think about how to prioritize emerging technologies is with McKinseys Three Horizons model, which buckets technologies and business concepts into horizons based on their approach to manage for current performance while maximizing future opportunities for growth.
Within the Three Horizons model, Horizon 3 contains the seeds of tomorrows business options on future opportunities. Quantum computing, which is part of the broader field of emerging quantum technologies, resides with Horizon 3, though with current advancements it may soon find itself in Horizon 2 or 1.
According to Amazon Web Services, no quantum computer can [currently]perform a useful task faster, cheaper, or more efficiently than a classical computer. Quantum advantage is the threshold where we have built a quantum system that can perform operations that the best possible classical computer cannot simulate in any kind of reasonable time. That said, a number of the largest technology players (for example, Amazon, Microsoft, Google) are exploring and developing quantum computing services.
Not to be outdone by the large technology companies, many large financial services companies (including JPMorgan, Bank of America, Wells Fargo, BlackRock and Mastercard) have been exploring quantum computing over the past few years, and several have made direct investments into quantum computing startups. According to a recent World Economic Forum report, government and business investment in quantum technologies reached nearly $36 billion worldwide as of 2022.
Despite increasing investment in quantum technologies, one of the issues inhibiting quantum computing from advancing more quickly is the lack of quantum technology talent. Until the industry matures, and more opportunities emerge for less technical talent, startups and established companies will be vying for the same limited resources.
Data is the lifeblood of many industries, and financial services is no exception. Quantum computing is all about analyzing more data more quickly. And when we think about all the areas of banking that rely on turning data into insights, the potential for quantum computing to generate value becomes clear. Consider, for example, the following lifecycle of a bank customer and how data models are leveraged:
Using quantum computing has the potential to include more data points, run models more quickly and produce more accurate analytics. McKinsey estimates that finance is one of four of the main industries that has the potential to capture nearly $700 billion in value as early as 2035 leveraging quantum technologies.
While quantum computing may eventually offer significant benefits especially in predictive analytics and simulations, the risk it could introduce to financial institutions (and other industries) cant be overstated. By far, the biggest emerging threat is nefarious actors (for example, criminals, terrorists, and rogue governments) using quantum computers to break public key encryption, which is the backbone of secure data transmission. Banks are safekeepers of investments, public assets, pensions, retirement accounts, and personally identifiable information and rely on public key encryption to maintain the security and privacy of this type of information. Should quantum computing allow for encryption algorithms to be cracked, the impact could be significant. Even the threat of such bad actors leveraging quantum computing may undermine public confidence in commonly used encryption methods, creating problems for the institutions, including banks, responsible for safeguarding data.
The U.S. government has launched a multi-pronged strategy to address the risk, develop standards and ensure that government agencies are prepared. While the federal banking agencies have not issued any specific guidance yet, they can rely on existing regulations and supervisory guidance and the ongoing examination process.
Quantum computing is not yet at the stage where it surpasses classic computing, though the ecosystem is developing rapidly. Some estimate quantum computing will become mainstream in 10 to 15 years, but recently weve seen claims indicating the technology may be available much sooner than that. Despite quantum computing not being an imminent threat, there are several steps banks should take to monitor developments in the technology and increase awareness of the risks:
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Quantum computing and the future of bank tech | ABA Banking Journal - ABA Banking Journal
The quantum computer already exists, but is not all that powerful – Tech Xplore
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Quantum computer. Credit: IBM
You may be one of those waiting for the quantum computer, the arrival of which we have been told is imminent for several years. Already at this point, DTU Associate Professor Sven Karlsson begins to look a little strained, because among his partners are the two European companies AQT and IQM which produce and sell quantum computers.
"It's a common misconception that the quantum computer doesn't exist yet. It does already exist, so it's not something we need to wait for. However, the current quantum computers aren't yet all that large, which obviously limits how complicated the calculations can be, but they exist and are being used," says Sven Karlsson.
One example is IBM's quantum computers, which anyone can access via the internet. In addition, there are quantum computers in scientific laboratories, in supercomputer centers, at universities, and so onworldwide. These are also among the customers to which AQT and IQM sell their products.
It has not yet been possible to build quantum computers with many quantum bits. Quantum bits are used to process the information in the computer, and a low number of quantum bits therefore limits the complexity of the calculations the quantum computer can perform. Sven Karlsson therefore characterizes the current use as primarily experimental, making it possible to play with and understand the technology.
"The technical level of the current quantum computers is somewhat similar to the first stage of our current computers. When they first appeared in the 1950s, there were only a limited number of them, and, back then, they couldn't make larger calculations than those any calculator can perform today."
However, there are examples of calculations performed using a quantum computer. One of the calculations known to Sven Karlsson was done during the coronavirus pandemic. The Italian football league needed to know how best to schedule the matches so that the different football teams came into contact with each other as little as possible to reduce the risk of infection. Likewise, travel distances for the players had to be limited, as travel by air was banned.
"A quantum computer is well suited for calculations of this type that will take too long for an ordinary supercomputer. The quantum computer can examine many solutions simultaneously and is therefore more efficient at such calculations than a supercomputer," says Sven Karlsson.
Sven Karlsson and his colleagues' collaboration with AQT and IQM includes developing the hardware and software needed to connect the quantum computer to supercomputers.
"The future quantum computers will initially largely be connected to the relatively few high-performance computing centers with supercomputers that exist worldwide. The centers have already built an infrastructure with the right competences to operate the quantum computers, and it also makes sense to invest in relation to the existing centers. Today, a quantum computer costs around DKK 150 million, so it's a relatively large investment," says Sven Karlsson.
The quantum computer will not replace supercomputers. Instead, it will supplement them and be used for highly specific calculations. Nor will the quantum computer have its own user interface, but must be accessed via the supercomputers.
As a result of the current budding production of quantum computers worldwide, large-scale standardization work is being initiated. It includes standards for all the hardware and software parts that make up a quantum computer. The hope is to prevent inexpediencies that we struggle with in other technological areas, such as only being able to use one charger type for our mobile phone.
"We would like to develop joint standards so that, throughout the world, we have the same understanding and use of the different components that make up a quantum computer. This must be done already at this early stage, so that we don't risk individual countries or parts of the world introducing different standards," says Sven Karlsson.
Sven Karlsson leads a group of researchers and practitioners with in-depth experience with and knowledge of quantum computers, who will meet in the coming years to create recognized standards that can be used in future production.
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The quantum computer already exists, but is not all that powerful - Tech Xplore
15 Biggest Quantum Computing Companies in the World – Yahoo Finance
In this article, we will take a look at the 15 biggest quantum computing companies in the world. If you want to see more companies in this selection, go to the 5 Biggest Quantum Computing Companies in the World.
The quantum computing industry is a rapidly evolving and expanding field with significant potential for growth and development in the coming years. According to Precedence Research, the size of the quantum computing industry is expected to grow by over 12 times from $10.13 billion in 2022 to $125 billion by the end of this decade. This would reflect a compound annual growth rate of 36.9% from 2022 to 2030. There has been a noteworthy increase in investment in the quantum computing industry in recent years, with governments, corporations, and venture capital firms all pouring funds into the development of quantum computing hardware, software, and applications.
As the demand for large-scale data analysis and simulation in the industry increases, quantum computing hardware and software development have become crucial. Notable startups in this sector, including Xanadu, ColdQuanta, and QC Ware, along with well-established corporations such as Alphabet Inc. (NASDAQ:GOOGL), Microsoft Corporation (NASDAQ:MSFT), Amazon.com, Inc. (NASDAQ:AMZN), International Business Machines Corporation (NYSE:IBM), D-Wave Systems (NYSE:QBTS), and IonQ, Inc. (NYSE:IONQ) are playing an important role in advancing quantum computing hardware and software. These companies have made significant strides in improving the stability, coherence, and number of qubits, which is a crucial step toward achieving large-scale quantum computing capabilities.
McKinsey has labelled quantum computing as one of the next big trends in the field of technology. Quantum computing, which is just one facet of the broader domain of quantum technology, holds significant promise and is projected to contribute approximately $1.3 trillion in value by the year 2035. In the coming years, the key players in the quantum computing industry are expected to progressively enhance the qubit capacity of their computers. However, this progress is anticipated to be gradual. According to McKinsey's estimation, by 2030, the number of operational quantum computers is expected to reach approximately 5,000 only. Furthermore, the development of hardware and software capable of handling the most intricate problems may not materialize until 2035 or even later. This projected timeline underscores the challenges involved in advancing quantum computing technology to its full potential.
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Currently, prominent Wall Street banks are at the forefront of exploring the potential of quantum technology. A researcher from Goldman Sachs stated in January 2020 that quantum computing has the capacity to become a crucial technology. In addition to Goldman Sachs, other major players in the financial industry, such as JPMorgan and Citigroup, have also established their own quantum computing initiatives and have made investments in quantum computing startups. In 2020, JPMorgan conducted experiments using Honeywell International Inc.'s (NASDAQ:HON) quantum computer with the goal of streamlining mathematical operations that involve Fibonacci numbers. These initiatives show how financial organizations are becoming increasingly interested in using quantum computing to solve complex computational problems.
15 Biggest Quantum Computing Companies in the World
Photo by Anton Maksimov juvnsky on Unsplash
Our Methodology
We conducted extensive research and consulted various industry reports, reputed publications, and news articles to shortlist the 15 biggest quantum computing companies in the world. Some of the companies on the list are technology giants and conglomerates investing heavily in quantum technology, while others are pure-play companies specifically focused on quantum computing. The top quantum computing companies were identified by selecting the companies with the highest market capitalizations, indicating their significant presence and market influence in the quantum computing industry. Furthermore, we also looked into factors such as the company's research and development efforts, technological advancements, patents filed, partnerships and collaborations, and financial investments. We have ranked these companies in ascending order of their market capitalization as of May 1.
Market Capitalization: $57.7 million
2022 Total Revenue: $13.1 million
Rigetti Computing, Inc. (NASDAQ:RGTI) is a Berkeley, California-based quantum computing company founded in 2013. The company specializes in superconducting qubit technology. The company has developed the Forest software development kit and the PyQuil programming language to simulate quantum computations. Rigetti Computing, Inc. (NASDAQ:RGTI) has also developed a suite of software tools and algorithms for programming and simulating quantum computations, including the Forest software development kit and the PyQuil programming language. These tools enable researchers and developers to program and simulate quantum algorithms using existing classical computing infrastructure.
Market Capitalization: $62.7 million
2022 Total Revenue: $7.17 million
D-Wave Quantum Inc. (NYSE:QBTS) is a Burnaby, Canada-based leading provider of quantum computing systems and software with a focus on quantum annealing technology. The company is widely regarded as a pioneer in the development of quantum computing technology. The companys flagship product, the D-Wave Quantum Computer, harnesses the power of quantum annealing to address complex optimization problems prevalent in various industries such as logistics, finance, and machine learning.
Market Capitalization: $101.01 million
2022 Total Revenue: $402.61 million
Quantum Corporation (NASDAQ:QMCO) is a San Jose, California-based company founded in 1980 that specializes in data storage and management solutions, including quantum computing. The company has developed a quantum computing software platform called Quantum ATFS that combines traditional data storage and management with quantum computing capabilities. This platform enables customers to process large amounts of data quickly and efficiently using quantum computing algorithms.
Market Capitalization: $1.12 billion
2022 Total Revenue: $11.13 million
IonQ, Inc. (NYSE:IONQ) is a College Park, Maryland-based quantum computing company founded in 2015. The company was founded by a team of experts in quantum computing and is one of the pure plays on our list of the biggest quantum computing companies in the world. IonQ, Inc. (NYSE:IONQ) is considered a leading provider of trapped-ion quantum computing technology, which has the potential to be more scalable than other quantum computing technologies. IonQ, Inc.s (NYSE:IONQ) quantum computing technology is based on a unique approach that uses trapped ions as qubits, which are manipulated using laser beams. Trapped ion qubits are highly stable and have long coherence times. Click here to read IonQ, Inc.'s (NYSE:IONQ) earnings call transcript for Q4 2022.
Market Capitalization: $1.53 billion (1.39 billion)
2022 Total Revenue: $12.52 billion (11.34 billion)
Atos SE (ATO.PA) is a Bezons, France-based information technology (IT) service and consulting company with a specialization in big data and cybersecurity services. The company has been active in the field of quantum computing for the last several years. The entity has developed a quantum computing hardware platform called Atos Quantum, which includes a range of quantum simulators and a quantum annealer. Atos Quantum also provides a software platform for quantum programming called Atos Quantum Learning Machine (QLM). The QLM can simulate up to 40 qubits and provides a range of programming languages for quantum computing, including Python, C++, and Java.
Market Capitalization: $14 billion (1.90 trillion)
2022 Total Revenue: $24.6 billion (3.35 trillion)
Toshiba Corporation (6502.T) is a Tokyo, Japan-based diversified technology company. The company has made notable advancements in quantum key distribution (QKD), a technique crucial for securely distributing secret digital keys to safeguard highly sensitive information across various industries. Toshiba Corporation (6502.T) has also partnered with several research institutions and companies to develop quantum computing hardware and software. Collaborations with institutions like the University of Tokyo and the National Institute of Informatics have focused on projects such as quantum annealing systems and quantum cryptography systems, demonstrating Toshiba's commitment to advancing quantum technologies.
Market Capitalization: $41.41 billion
2022 Total Revenue: $17.87 billion (123.68 billion)
Baidu, Inc. (NASDAQ:BIDU) is a Beijing, China-based tech corporation that has been investing in the field of quantum computing in recent years. The company's dedicated research team has been actively involved in the development of both quantum computing hardware and software. In August 2022, Baidu, Inc. (NASDAQ:BIDU) introduced its first superconducting quantum computer, demonstrating its progress in integrating hardware, software, and applications. Additionally, Baidu, Inc. (NASDAQ:BIDU) has pioneered the development of a comprehensive quantum hardware-software integration solution, enabling access to a wide range of quantum chips through various platforms such as cloud services, mobile applications, and personal computers.
Here's what Horos Asset Management said about Baidu, Inc. (NASDAQ:BIDU) in its Q4 2022 investor letter:
As I mentioned at the beginning of this quarterly letter, we took advantage of the meltdown in technology platforms to initiate new positions in companies in which we had already been shareholders in the past and whose valuation did not, until now, provide a sufficiently high margin of safety. Such is the case of PayPal and Baidu, Inc.(NASDAQ:BIDU).
In the case of Baidu, as many will know, it is known as the Chinese Google. The company has been the leading Internet search engine in the Asian country for years, which has given it a historically privileged position to monetize, through online advertising, a huge user base. However, the rise of two types of applications has called into question the sustainability of its business model. On the one hand, mobile social apps, such as ByteDances well-known TikTok, have emerged as a new model of online consumption, generating a new platform through which to monetize Internet users. On the other hand, even more disruptive in the long term, is the emergence of the so-called super apps: a sort of virtual Swiss Army knives that allow users to access many products and services without having to leave their interface at any time, making Baidus traditional search engine less attractive. In this field, Tencent (with its super app Weixin/WeChat), Alibaba (Alipay) and Meituan certainly stand out. These two factors have caused Baidus online advertising market share to drop from 17% in 2017 to less than 7% estimated for 2022.34 To this deterioration, we should add the collapse in market value of its stake in iQiyi (video platform controlled by Baidu) and its equity holdings such as Trip.com (hotel and flight platform) (Click here to read the full text)
Market Capitalization: $115.29 billion
2022 Total Revenue: $60.53 billion
International Business Machines Corporation (NYSE:IBM) is an Armonk, New York-based technology company. The entity is considered a trendsetter in the field of quantum computing, having developed some of the earliest quantum computers and quantum algorithms. The company has also established the IBM Quantum Network, which connects researchers and developers working on quantum computing. International Business Machines Corporation's (NYSE:IBM) quantum computing technology is based on superconducting qubits, which are integrated into a quantum processor that is designed to be scalable and reliable.
Diamond Hill Capital shared its outlook on International Business Machines Corporation (NYSE:IBM) in its Q4 2022 investor letter:
New positions initiated in Q4 included shortsInternational Business Machines Corporation (NYSE:IBM), Acushnet Holdings (GOLF) and elf Beauty (ELF). Since diversified information technology company IBMs 2019 acquisition of Red Hat, the company has aggressively pursued a hybrid cloud strategy. Though IBM and its new management team have made solid progress on this pivot, we believe the company still meaningfully lags the cloud hyperscalers and other cloud-native companies. Management has also laid out aggressive long-term targets for revenue growth and free cash flow, both of which we believe the company will struggle to achieve as it faces intense competition in its hybrid cloud business and structural headwinds in the companys legacy businesses.
Market Capitalization: $124.55 billion
2022 Total Revenue: $63.05 billion
Intel Corporation (NASDAQ:INTC) is a Santa Clara, California-based technology company that has been heavily investing in quantum computing research and development (R&D). The company has made significant headway in developing its quantum computing hardware, software, and algorithms. Intel Corporations (NASDAQ:INTC) quantum computing technology is based on a different approach than many other companies in the industry, using spin qubits instead of superconducting qubits. Spin qubits are implemented using silicon, which is a mature and well-understood technology that Intel has extensive experience with. Intel Corporations (NASDAQ:INTC) approach is designed to enable easier manufacturing and scalability of quantum computing systems.
Here's what ClearBridge Investments said about Intel Corporation (NASDAQ:INTC) in its Q3 2022 investor letter:
Also on the detractor side,Intel Corporation(NASDAQ:INTC) delivered a disappointing revenue miss and lowered full-year revenue and earnings guidance as COVID-19-driven demand for PCs abated (where Intel enjoys half its sales) and a delay in its flagship Sapphire Rapids CPU hurt its data center business. Despite these issues, we still believe Intel is an economically sensitive turnaround story with substantial upside.
Market Capitalization: $132.22 billion
2022 Total Revenue: $35.47 billion
Honeywell International Inc. (NASDAQ:HON) is a Charlotte, North Carolina-based company that is a new entrant in the quantum computing industry, focusing on developing quantum computers for industrial and commercial use. Honeywell International Inc.s (NASDAQ:HON) quantum computing system is based on trapped ion technology, which uses ions trapped in a magnetic field to perform quantum computations. The company's quantum computing system consists of a quantum processor made up of ion qubits and a control system used to manipulate and read out the qubits.
In addition to Honeywell International Inc. (NASDAQ:HON), companies such as Alphabet Inc. (NASDAQ:GOOGL), Microsoft Corporation (NASDAQ:MSFT), and Amazon.com, Inc. (NASDAQ:AMZN) are also some of the biggest quantum computing companies in the world.
Click to continue reading and see the 5 Biggest Quantum Computing Companies in the World.
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Disclosure: None. 15 Biggest Quantum Computing Companies in the Worldis originally published on Insider Monkey.
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15 Biggest Quantum Computing Companies in the World - Yahoo Finance
IBM Think 2023: AI and Quantum Computing | eWEEK – eWeek
At its recent Think 2023 conference, IBM focused on two areas AI and quantum computing that it believes will be essential to its enterprise customers. Lets look at the details.
Why should organizations consider AI or quantum computing? The technologies are not mutually exclusive but deserve separate answers.
In the former case, AI offers companies new tools for analyzing and leveraging existing data resources with the aim of improving processes from IT management to supply chain operations. Consider that a company could use AI models to generate code for developers or to automate complex data center tasks. These and solutions based on other AI modalities are currently available to businesses.
While it is still in relatively early days, quantum computing is maturing quickly and, in fact, is an issue that many government agencies and businesses will need to understand and deploy relatively soon.
For example, last year the U.S. government released new requirements and guidelines for federal agencies to start transitioning to solutions to protect valuable and critically important data against quantum computing-based attacks. In part, that is due to the increasing prevalence of harvest now, decrypt later attacks aimed at enduringly valuable government information, like classified and strategic documents.
To achieve that, the National Institute of Standards and Technology (NIST) selected four quantum-resistant algorithms for standardization three of which were developed by IBM, alongside academic and industry collaborators.
In addition, the National Security Agency (NSA) announced that national security systems will be required to fully transition to quantum-safe algorithms by 2035. They further define that software and firmware signing should begin transitioning immediately.
Finally, the White House ordered federal agencies to submit inventories of systems that could be vulnerable to cryptographically relevant quantum computers.
Also see:Generative AI Companies: Top 12 Leaders
AI-enabled business has arrived, and the need for quantum computing is approaching quickly. IBMs central message at Think 2023 was that it is delivering artificial intelligence business solutions today and is rapidly developing robust quantum safe technology and services for near term deployment.
According to IBM chairman and CEO Arvind Krishna, the new WatsonX AI and data platform was, Built for the needs of enterprises, so that clients can be more than just users, they can become AI advantaged. Foundation models make deploying AI significantly more scalable, affordable and efficient. With IBM WatsonX, clients can quickly train and deploy custom AI capabilities across their entire business, all while retaining full control of their data.
What are foundation models? According to the company, they are built with large sets of IBM-curated enterprise data backed by a robust filtering and cleansing process and auditable data lineages. IBM is training the models on language, as well as other modalities, including code, time-series data, tabular data, geospatial data and IT events data.
Using WatsonX foundation models alone or in concert with their own proprietary data sets will enable IBM customers to speed and scale AI training processes while reducing potential problems caused by inaccurate or noisy data.
As a result, AI-enabled business processes should be more stable and successful out of the block. Plus, IBM believes that the adaptable AI models combined with enterprises data and domain expertise will enable customers to derive competitive differentiation and unique business value.
On a related topic:The AI Market: An Overview
As detailed at Think 2023, the WatsonX platform consists of three product sets:
Watsonx.ai and watsonx.data are expected to be generally available in July 2023. Watsonx.governance is expected to be generally available later this year. In addition, IBM plans to infuse WatsonX foundation models throughout its advanced software portfolio.
Finally, the company also announced other upcoming offerings designed to help drive AI adoption. Those include:
Also see:Top Generative AI Apps and Tools
IBMs new Quantum Safe technology is an end-to-end solution designed to help clients remain secure now and throughout their quantum-safe journey towards the post-quantum era. Sounds good, but what exactly does this mean?
While some quantum computing and quantum-like solutions are available, the market is still in very early days. However, potential dangers lie ahead as quantum technologies mature and become increasingly available to valid business and government agencies, as well as to bad actors, including rogue states and organized cybercriminals.
The question, then, is how organizations can best protect themselves against quantum-based cyberattacks during this transition. These attacks include harvest now, decrypt later schemes designed to steal highly encrypted data in the hopes that quantum-based tools can eventually be used to decode it.
In essence, IBM Quantum Safe is designed to thwart such efforts with various tools, including:
IBM also announced its Quantum Safe Roadmap, which is designed to help clients understand new threats and solutions and support them through this security transition.
Also see:What is Artificial Intelligence?
So, what are we to make of IBMs new WatsonX solutions and Quantum Safe offerings? In the former case, WatsonX is hardly IBMs first foray into AI. In fact, the company has been at the forefront of AI R&D since the 1950s with Arthur Samuels checkers-playing computer. IBM efforts continued through the Deep Blue system that beat chess grand master Gerry Kasparov in 1997 and the Watson system that triumphed over two Jeopardy grand champions in 2011.
While IBMs commercial Watson efforts havent all succeeded as the company hoped, the platform remains one of the worlds most advanced generative AI solutions. Moreover, IBMs focus on using Watson for simplifying operations and amplifying business benefits continues to find willing customers. In the weeks leading up to Think 2023, SAP announced that it will embed IBM Watson AI in SAP Start, the digital assistant that runs across all SAP instances.
With those points in mind, IBMs plans and goals for WatsonX appear eminently sensible and achievable, and the companys approach is spot-on. Leveraging its own substantial resources curated foundation models, machine learning expertise, hybrid cloud assets and data management and governance tools should make the WatsonX platform powerfully attractive to IBM clients.
Similar to its experience in AI, IBM was an early adopter and promoter of quantum computing and is actively working to bring quantum solutions to market. It also clearly recognizes the potential dangers that government agencies and enterprises face during the quantum computing transition. Along with its work on three of the four quantum-resistant algorithms adopted for standardization by the NIST, IBM also embedded quantum safe features in the z16 mainframesand LinuxONE 4 systems it launched last year.
In other words, just as it has done with WatsonX, the company is using its quantum computing investments and expertise to deliver Quantum Safe solutions to keep government and enterprise clients secure now and against future threats.
For moreinformation, also see:What is Data Governance
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IBM Think 2023: AI and Quantum Computing | eWEEK - eWeek
Joe Rogan and Michio Kaku Compare Reality to The Matrix as the Duo Address the Wonders of Quantum Computing – EssentiallySports
UFC commentator, Joe Roganhas achieved great success as a podcaster. The biggest reason behind the success of The Joe Rogan Experience is how it entertains people of different interests. Even though Rogan has been an MMA analyst for over two decades, he never made his podcast all about MMA. The 55-year-old invites guests from all walks of life to his show, and that can vary from comedians to scientists. Other than MMA, Rogan has always shown a keen interest in science and technology. He loves to dig deeper into the unknown secrets of the world. Moreover, he is fascinated by the growth of technology over time.
In JRE, the former Fear Factor host has often expressed his concern over the uncontrollable growth of technology. Rogan fears a world where science and technology overpower human efficiency. In a recent episode of JRE, the UFC commentator talked to Dr Michio Kaku. Kaku is a professor of theoretical physics. The two discussed a lot about the tremendous growth of technology over the years.
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In the #1980 episode of JRE, Rogan and Dr Michio Kaku connected the realities of the world to the movie The Matrix. Kaku had written a book called Quantum Supremacy: How the Quantum Computer Revolution Will Change Everything.His vast knowledge of quantum computers made the UFC commentator eager to learn more.
During the conversation, Rogan asked, But if we are talking about technology as we currently understand it today, in comparison to technology as they had available to them a thousand years ago. What we do now, thats insane? And you are talking about quantum computing, which is almost available today and you look at thousand years from now. Couldnt you potentially imagine there could be a world where there is technology sufficient to do what we are talking about? To create a version of reality?
Kaku was able to give a clear answer to Rogans query. He said, Well, if you saw the movie we are all in parts and we are all connected to computers, then stimulus, The Matrix. As long as you are stimulating a piece of the matrix, not the whole thing, but as you walk from place to place, the computer reassembles and replicates that place. That may be possible, but not the whole earth.
Rogans questions to Kaku proved the amount of interest he has in science and technology.
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In the very same episode of JRE, Rogan asked Kaku about the quantum computers that have the ability to break any code. Rogan was concerned about the world without secrets. However, Kaku didnt seem worried like Rogan. The professor told him that the secret codes of some nations had been broken in the past as well.
READ MORE: It Was Like an Assassination: Joe Rogan Recalls Mike Tyson at His Destructive Best in His Most Violent Fight
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He went on to explain about World War II, where the secret codes of the Germans were broken using quantum computers. This helped to know the places where Germany was planning to attack beforehand. Back then, it was technology that helped save millions of lives.
Watch This Story:How Did Joe Rogan Become Famous?
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Joe Rogan and Michio Kaku Compare Reality to The Matrix as the Duo Address the Wonders of Quantum Computing - EssentiallySports
10 Things in Tech: ‘I saw a quantum computer,’ Gen Zer learns data analytics on YouTube, and Ford’s Ranger Rap – Business Insider India
Wow, Monday comes so quickly. I'm Diamond Naga Siu, and I was a member of The Great Resignation when I joined Insider. Now, I'm likely a member of the next workplace era: The Big Stay.
The massive pay bumps from the past few years are mostly gone. So Americans are suddenly quitting their jobs at way lower rates than before. My colleague Madison Hoff gives us a first-look at this emerging era and breaks down the lingering workplace trend.
Before I go plan some career goals, let's dive into today's tech.
If this was forwarded to you, sign up here. Download Insider's app here.
1. Google's AI demonstration showed how Big Tech keeps on winning. Lots of startups are throwing their hat into the generative AI race. But it looks like Big Tech has a leg up on the competition. And Google's AI event last week underscored this advantage.
Dive into the "race" for AI here.
In other news:
2. "I saw a quantum computer." The powerful, new device was unveiled in a Denver, Colorado data center. It's housed in a drab, windowless room, and Insider's Julie Bort was one of a handful of people given a look. Check it out here.
3. Linda Yaccarino's jump to Twitter CEO leaves NBCUniversal in crisis. She spent nearly 12 years at the company and left days before the biggest ad industry conference of the year. An executive told Insider that her departure is like the "Cuban missile crisis." Dive into the turmoil here.
4. DeepMind co-founder Mustafa Suleyman has a chilling warning for Google, his former employer. Suleyman believes the internet as we know it will fundamentally change and "old school" Search will be gone in a decade. Here's why.
5. AI "digital workers" can complete 1-month tasks in 10 minutes. The state of New Mexico employs 30 "digital workers." They tackle repetitive tasks that free staff up to do other things it's a model for what the future of work could look like. Check it out here.
6. This Gen Zer learned how to be a data analyst via YouTube. His career switch led to a 40% salary bump and stronger benefits. Plus, he and his wife paid down their debts and can now pursue their true passion traveling. Follow his journey here.
7. Once upon a time, this team lip-synced Frozen's "Let It Go" during a Zoom meeting. It was incredibly awkward. But it was also their best team-building moment ever. Now, the recording lives happily ever after online. Watch it here.
8. Ford's "beastly" Ranger Raptor is finally coming to the US. The aggressive-looking, desert-shredding pickup will be available in the US for the first time ever. It's redesigned with a 2.7-liter, turbocharged V6 engine, upgraded interior, and more. Hop in for the full ride here.
Odds and ends:
9. Russian tycoon sues the UK to get his $48 million superyacht back. The massive vessel featuring an "infinite wine cellar" was seized by the government (see it chilling in Canary Wharf here). But now, the property developer wants it back. Set sail here for the full story.
10. Everything you need to know about the Apple Watch Series 8. It's a major upgrade for older WatchOS users. The wearable boasts 36 hours of battery life, advanced health and fitness sensors, and a premium design. Get a full look at it here.
What we're watching today:
Curated by Diamond Naga Siu in San Diego. (Feedback or tips? Email dsiu@insider.com or tweet @diamondnagasiu) Edited by Alistair Barr (tweet @alistairmbarr) in San Francisco and Hallam Bullock (tweet @hallam_bullock) in London.
5 Cybersecurity Woes That Threaten Digital Growth – Analytics Insight
Here are the top five cybersecurity woes that will threaten digital growth and economyIndias cybersecurity concerns may be classified into five categories.
Missing patches are a typical issue as a result of users laziness. Similarly, access control is not tightly enforced, and passwords are freely exchanged. Another typical failing is failing to meet the standards for a full-time chief information security officer.
Regulation and punitive restrictions can dramatically limit consumer data leakage or sharing. Only banks, securities exchanges, and market infrastructure organizations are subject to cybersecurity legislation, which include the authority to supervise. The electricity industry, which has certain norms but no legislative underpinning and hence lacks efficacy, is the next best option.
Because of insufficient standard practices and coding abilities, the average code quality is low. Manpower in cybersecurity is critically insufficient, and the situation will worsen as well-trained cybersecurity workers are required in both the public and commercial sectors.
Many systems rely on obsolete software or pirated versions, which original equipment makers must safeguard. Users of such programs unknowingly enter a potential minefield.
In this arena, self-reliance has been overlooked. In addition to decreasing reliance on outsiders, an indigenous solution will require potential attackers to break a new safety measure. Innovation is important in new technology domains where solutions are still needed, and India has the potential to dominate this industry. In this aspect, quantum computing is crucial. By 2030, we may have a quantum computer.
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5 Cybersecurity Woes That Threaten Digital Growth - Analytics Insight