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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.

Read more:
The quantum computer already exists, but is not all that powerful - Tech Xplore

IonQ, an industry leader in quantum computing, announcedthe availability of IonQ Aria on Amazon Braket, AWSs quantum computingservice. This expands upon IonQs existing presence on Amazon Braket, followingthe debut of IonQ's Harmony system on the platform in 2020. With broader accessto IonQ Aria, IonQs flagship system with 25 algorithmic qubits (#AQ)more than65,000 times more powerful than IonQ Harmonyusers can now explore, design, andrun more complex quantum algorithms to tackle some of the most challengingproblems of today.

We are excited for IonQ Aria tobecome available on Amazon Braket, as we expand the ways users can access ourleading quantum computer on the most broadly adopted cloud service provider,said Peter Chapman, CEO and President, IonQ. Amazon Braket has beeninstrumental in commercializing quantum, and we look forward to seeing what newapproaches will come from the brightest, most curious, minds in the space.

IonQ Aria joins its predecessorIonQ Harmony as the second IonQ quantum system available on Amazon Braket. Theavailability of both systems is designed to ensure audiences with differentneeds and resources can run workloads across the quantum system best suited fortheir specific use cases. Additionally, IonQs error mitigation techniques canhelp manage the impact of coherent errors at the circuit level.

The addition of IonQ Aria toAmazon Braket provides our global customers with another choice when it comesto selecting a quantum system that best fits their specific needs, saidRichard Moulds, general manager, Amazon Braket. IonQ was a launch partner forBraket and I am excited to expand our relationship, not only by providingaccess to their latest generation hardware but also launching the ability toapply error mitigation, for the first time. These new capabilities coupled withBraket features such as Hybrid Jobs pave the way for customers acrossindustries like finance, healthcare, chemistry and manufacturing to researchnew quantum algorithms and explore near-term applications.

IonQ Aria offers some of thebest algorithmic performance in the industry. We are consistently amazed bywhat we can do using this cutting-edge system, especially when paired with theClassiq Platform. This makes Aria our platform of choice for many algorithmsand applications run by our users, said Amir Naveh, co-founder and CPO atClassiq, a leading quantum software company. Bringing it to Amazon Braketbenefits the entire ecosystem by allowing more quantum pioneers to accessIonQs industry-leading hardware while also taking advantage of theflexibility, reliability, and choice that Braket already provides.

Today,Airbus,GE Research,Dow Chemistry,Hyundai Motors, and theUnited States Air Force ResearchLaboratoryrepresent a handful ofglobal companies and agencies using IonQ Aria to explore novel solutions fortheir respective industries. Earlier this year, IonQ announced its intent to invest $1billion in the Pacific Northwest over the next decade, starting with theopening of a 65,000 square foot quantum computing manufacturing facility justoutside Seattle in Bothell, Washington. Additionally, IonQ is also an earlymember of theNorthwest Quantum Nexusalongside partners including AWS, theUniversity of Oregon, University of Washington, Pacific Northwest NationalLaboratory, and Washington State University.

Source IonQ media announcement

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News | AWS Users Have Access to IonQ Quantum Computing ... - Pipeline Magazine

Quantum computing is operating at a higher and more commercially viable level in 2023. More than 91% of global CEOs

Quantum computing is operating at a higher and more commercially viable level in 2023. More than 91% of global CEOs say theyre steering cash toward quantum computing, and 70% say theyre generating real-life use cases for the technology, according to the OpenOceanIQM-Lakestar State of Quantum 2022 report.

Corporate decision makers are starting to see what computer engineers have seen for years: Quantum computing can resolve issues in a few seconds that take the fastest supercomputers weeks to solve.

Our research confirms that we are on a one-way journey to enter the quantum era, says Ekaterina Almasque, general partner at OpenOcean, which coauthored the State of Quantum 2022 Report released in November.

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The findings are a clear sign that the broader market is starting to buy into the potential of quantum computing, recognizing its emerging commercial potential and backing it with significant investment, she says. The report showed that private investment in quantum computing grew 500% from 2017 to 2021 alone.

A recent report from Precedence Research pegged the global quantum computing market at more than $10 billion for 2022 and predicted that it would surpass $125 billion by 2030, expanding at a compound annual growth rate, or CAGR, of 37%.

So, which quantum computing stocks are doing the best job of harnessing themselves to the quantum computing revolution? These eight stocks are in acceleration mode:

Microsoft Corp. (MSFT)

Microsoft is at the leading edge of quantum computing innovation, with one of the industrys first full-stack, open-cloud quantum computing ecosystems, which enables data engineers to create quantum applications and run them on multiple systems.

In February, Microsoft rolled out its new Integrated Hybrid feature in Azure Quantum that enables quantum and classical (computing) to integrate seamlessly together in the cloud, a first for our industry and an important step forward on our path to quantum at scale, according to the companys website.

With quantum computing developments growing steadily, and its Azure cloud computing platform growing at a 27% clip in the last quarter, look for these efforts to start paying off in 2023.

The 34 Wall Street analysts who rated MSFT stock on TipRanks.com gave it a strong buy recommendation, on average, with a price target of $327.14 in mid-May. Thats 5.7% above its May 15 closing price of $309.46.

International Business Machines Corp. (IBM)

IBM is one of the few large quantum computing developers that owns its own computing chip and operating systems, both of which are tied to its Quantum System One quantum computer, introduced in 2019. IBM has made big strides commercially with its efforts, as 210 entities across a wide spectrum of industries, including Raytheon Technologies Corp. (RTX), Sony Group Corp. (SONY), Samsung Electronics Co. Ltd. and the U.S. government, are either currently using IBM quantum computing programs or are partnering with IBM to build more robust quantum computing systems.

IBM also routinely rates highly in business innovation rankings its rated third for technology innovation in Drucker Institutes latest Management Top 250 Report (Microsoft is first) providing investors with some reassurance that Big Blue knows what its doing on the quantum computing front.

IBM shares closed at $123.36 on May 15, and eight analysts on TipRanks give the stock an average price target of $147.38. Thats a 19.5% increase.

[READ: How This 25-Year-Old Makes $500k a Year With His Newsletter Business]

Nvidia Corp. (NVDA)

Nvidia plays a huge role in the quantum computing market, as its one of the main providers of graphics processing units, or GPUs, used to power faster computing performance. Now Nvidia is getting into the hardware end of the quantum computing market with its DGX Quantum, the first computing system to merge GPUs and quantum computing. The quantum computing architecture is powered by Nvidias Grace Hopper Superchip, thus allowing researchers to build extraordinarily powerful applications that combine quantum computing with state-of-the-art classical computing, enabling calibration, control, quantum error correction and hybrid algorithms, the company stated.

NVDA stock could be a solid long-term play for quantum computing investors, given its outsized role in the global semiconductor market and its emerging role in quantum architecture even if that role may not pay off for several years. NVDA traded at $289.53 per share on May 15, and 38 analysts on TipRanks rate the stock a consensus strong buy with a 12-month price target of $288.24.

Alphabet Inc. (GOOG, GOOGL)

Alphabet, the parent to web search engine giant Google, has already established a big footprint in the quantum computing market. In 2018, the company introduced Bristlecone, its 72-qubit quantum processor, and has since spun off its own quantum computing and artificial intelligence private company.

In February, Alphabet engineers announced a breakthrough development in the quantum computing market, reporting that its quantum processor could reduce quantum computing errors (which are fairly common in the sector) by boosting the number of qubits used in computing processes.

No doubt, Alphabet is building a solid quantum computing platform that should place it in the top five technology companies in the quantum sector going forward. The stock should be another long-term pillar for sector investors, especially given its well-earned reputation as a highly profitable company.

GOOG had a closing price of $116.96 on May 15, and all six analysts who offer an average price target of $126.17 on TipRanks rate the stock a buy.

Honeywell International Inc. (HON)

Quantinuum, the quantum computing enterprise owned by Honeywell Quantum Solutions and Cambridge Quantum, recently tapped 30-year supercomputing veteran Raj Hazra as its new chief executive officer. That move underlines the industrys need for top leaders and visionaries who know how to push quantum computing from the realm of scientific theory to a mainstream commercial computing juggernaut.

The experienced Hazra leads a company thats planted deep roots in the quantum space, particularly in developing quantum computing products in the internet security, climate modeling and pharmaceutical drug sectors. Commenting on Quantinuum, which includes 350 scientists on its payroll, Hazra cited the state of the art engineering talent already on board at the enterprise.

Investors looking for exposure to all that generational talent can access it via Honeywells stock, which closed at $194.31 on May 15. Twelve TipRanks analysts set an average price target of $223.91, which represents 15.2% potential upside.

[SEE: 7 Space Stocks and ETFs to Watch]

Amazon.com Inc. (AMZN)

Amazon is rapidly expanding its presence in the quantum computing sector, primarily through its AWS Center for Quantum Networking for developing quantum network solutions and its Amazon Quantum Solutions Lab. Last year, Amazon also rolled out Amazon Braket, a cloud-based managed quantum computing service that researches and develops new quantum computing technologies.

Amazon is yet another deep-pocketed player that can take its time developing new products knowing that its massive revenue base $514 billion in 2022 can buy the companys quantum engineers all the time they need to master the market.

AMZN stock traded at $111.20 per share as of May 15, and 36 Wall Street analysts set a consensus price target of $134.24 with a strong buy rating. Thats upside potential of 20.7%.

Intel Corp. (INTC)

Intel is already widely recognized as the largest semiconductor company in the world. Now its taking significant steps to position itself as one of the rising stars in the quantum computing market.

In March, Intel introduced its Quantum software development kit, or SDK, to aid technology engineers in their ongoing research into quantum algorithms and applications. The SDK is already in use as a tool for researching fluid dynamics performance issues in the hydrodynamics and aerodynamics markets. Thats a path Intel is determined to follow to entrench itself in the quantum computing market.

The Intel Quantum SDK helps programmers get ready for future large-scale commercial quantum computers, says Anne Matsuura, director of quantum applications and architecture at Intel Labs. It will not only help developers learn how to create quantum algorithms and applications in simulation, but it will also advance the industry by creating a community of developers that will accelerate the development of applications, so they are ready when Intels quantum hardware becomes available.

INTC stock closed at $29.80 on May 15, and the price target consensus of 27 analysts on TipRanks is $30.98.

Taiwan Semiconductor Manufacturing Co. Ltd. (TSM)

TSM has laid the groundwork for its quantum computing efforts with a five-year strategic partnership with Taiwans Ministry of Science and Technology. Thats the tentpole in TSMs plan to use its new cloud computing platform to develop quantum computing applications that will one day make it to the commercial marketplace.

Couple those efforts with TSMs standing as one of the top semiconductor companies in the world that generates 10% to 15% annual revenue growth rates, and its easy to see why Taiwan Semi could be a solid landing spot for new quantum computing investment dollars.

TSM stock closed at $85.66 per share on May 15. A small sample of Wall Street analysts on TipRanks rate the stock a strong buy and set a consensus price target of $118.67 for TSM shares, representing potential upside of 38.5%.

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8 Best Quantum Computing Stocks to Buy in 2023 originally appeared on usnews.com

Update 05/16/23: This story was previously published at an earlier date and has been updated with new information.

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8 Best Quantum Computing Stocks to Buy in 2023 - WTOP

Science and technology have always fascinated Joe Rogan. Rogan has hosted several guests from the science field on his podcast. The Joe Rogan Experience has a large repository of conversations on the subject with guests like Elon Musk and Brian Cox. The latest among such conversations was with Dr. Michio Kaku, Ph.D. Dr. Kaku is a theoretical physicist and host of a radio program called Science Fantastic.

Dr. Kaku has also recently written a book called Quantum Supremacy: How the Quantum Computer Revolution Will Change Everything. The pairs discussions were therefore pertaining to quantum computers and their potential to change the world.

via Getty

DALLAS, TEXAS JULY 29: Joe Rogan attends the UFC 277 ceremonial weigh-in at American Airlines Center on July 29, 2022 in Dallas, Texas. (Photo by Carmen Mandato/Getty Images)

This led Rogan to ask a typical Rogan-esque question- what if the government had these technologies and were hiding them?

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In episode #1980, Joe Rogan and Dr. Michio Kaku had a lengthy discussion about technology and quantum computers in particular. They discussed the technological race between countries like the United States and China. Toward the end of their chat, Rogan asked Kaku if he thought governments had already possessed this type of technology.

The 76-year-old told him an answer befitting a scientist. For Kaku, the proof was in the pudding. He had to see it to believe it. Then Rogan asked, Could you understand though how a government if they were in possession of something like that, would want to keep it a secret?

The BJJ black belt explained, Because the technology is so superior to anything that we have. Just like how were in this sort of quantum computer race with China and they have a different method than we do. What if they have a different method of back engineering these things?

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Kaku told Rogan that it was a conceivable theory but add there was no hard evidence to support any assumptions. He also analyzed other theories where people claim humans stole technology from aliens. The renowned physicist credited all such achievements to scientists who spent entire careers developing them.

What do you make of this conversation between Rogan and Kaku? Do you have any such theories regarding high-end technology?

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Were in This Sort of Quantum Computer Race With China Joe Rogan Questions Why Governments Hide Advanced Tech From the Masses - EssentiallySports

NEW YORK, May 17, 2023 /PRNewswire/ -- Insilico Medicine, a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it groundbreakingly combines two rapidly developing technologies, quantum computing and generative AI to explore the lead candidate discovery in the drug development process and successfully demonstrated the potential advantages of quantum generative adversarial networks in generative chemistry.

The study published on May 13th in the American Chemical Society'sJournal of Chemical Information and Modeling, a leading journal in computational modeling, is led by Insilico Taiwan center and UAE center 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, supported by the University of Toronto's Acceleration Consortium director Alan Aspuru-Guzik and Hon Hai (Foxconn) Research Institute.

"We are pleased to achieve the milestone in the collaboration with Insilico Medicine. Quantum computing can be used to solve complex computational problems. The application of quantum computing in drug discovery will potentially help reduce the time and lower the cost of research and development," said Min-Hsiu Hsieh, PhD, Director of the Quantum Computing Research Center of Hon Hai Technology Group (Foxconn)

Generative Adversarial Networks (GANs) are one of the most successful generative models in drug discovery and design which has 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 have 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, and comparing its performance and with the classical counterpart.

The study not only demonstrates that the trained quantum GANs can generate training-set-like molecules by using the VQC as the noise generator, but the quantum generator outperforms the classical GAN in the drug properties of generated compounds and the goal-directed benchmark. In addition, the study shows the quantum discriminator of GAN with only tens of learnable parameters can generate valid molecules and it outperforms the classical counterpart with tens of thousands of parameters in terms of generated molecule properties and KL-divergence score.

"Quantum computing is recognized as the next technology breakthrough which will make great impact to all communities, and the pharmaceutical industry is believed to be among the first wave of industries benefiting from the advancement. The paper demonstrates Insilico's first footprint in quantum computing with AI in molecular generation underlining our vision in the field," said Jimmy Yen-Chu Lin, PhD, GM of Insilico Medicine Taiwan, and corresponding author of the paper.

The promising result will further support Insilico's UAE team to integrate the hybrid Quantum GAN model into Chemistry42, Insilico's proprietary small molecule generation engine to obtain more efficient and accurate results in AI-driven drug discovery and development process. As one of the pioneers to leverage GANs in de novo molecular design Insilico published the first paper in this field in 2016 and the company has delivered 11 preclinical candidates with the support of its end-to-end platform Pharma.AI based on generative AI models since 2021, three of which have entered clinical trials.

"To our knowledge, it is the first time in the industry to systematically replace every component of GAN with VCQ and successfully generate molecules. I believe this is also the first small step in our journey," said Alex Zhavoronkov, founder and CEO of Insilico Medicine. "We are committed to accelerate high-quality effective therapeutics to patients to extend healthy productive life for everyone on the planet with the support of cutting-edge technologies. Insilico's UAE center is 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."

About Insilico Medicine

Insilico Medicine, a clinical-stage end-to-end artificial intelligence (AI)-driven drug discovery company, connects biology, chemistry, and clinical trials analysis using next-generation AI systems. The company has developed AI platforms that utilize deep generative models, reinforcement learning, transformers, and other modern machine learning techniques to discover novel targets and to design novel molecular structures with desired properties. Insilico Medicine delivers breakthrough solutions to discover and develop innovative drugs for cancer, fibrosis, immunity, central nervous system (CNS), and aging-related diseases. For more information, visit http://www.insilico.com

SOURCE Insilico Medicine

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Insilico Medicine Successfully Explores the Advantages of Quantum ... - PR Newswire