Category Archives: Quantum Computing
India witnessing growing interest in quantum computing: IBM – The Hindu
Quantum computers could open the door to new scientific discoveries, life-saving drugs, and improvements in supply chains, logistics and the modelling of financial data
Quantum computers could open the door to new scientific discoveries, life-saving drugs, and improvements in supply chains, logistics and the modelling of financial data
India has been witnessing growing interest in quantum computing, with students, developers, and academia actively participating. Consequently, the country is emerging as a talent hub for quantum computing, said Sandip Patel, MD, IBM India/South Asia region, in an interview. Edited excerpts
Quantum computing is an exciting new technology that will shape our world of tomorrow by providing us with an edge and a myriad of possibilities. Quantum computing is a fundamentally different way of processing information compared to todays classical computing systems. While todays classical computers store information as binary 0 and 1 states, quantum computers draw on the fundamental laws of nature to carry out calculations using quantum bits. Unlike a bit that has to be a 0 or a 1, a qubit can be in a combination of states, which allows for exponentially larger calculations and gives them the potential to solve complex problems which even the most powerful classical supercomputers are not capable of.
Quantum computers tap into the quantum mechanical phenomenon to manipulate information and are expected to shed light on processes of molecular and chemical interactions, address difficult optimisation problems, and boost the power of artificial intelligence. Advances like these could open the door to new scientific discoveries, life-saving drugs, and improvements in supply chains, logistics and the modelling of financial data. IBM today is actively working with major corporations and governments, to help advance their quantum roadmaps, and help grows their pool of quantum talent to make quantum computing practical for the benefit of science, industry and society.
In India, we are witnessing a growing interest in quantum computing with active participation (amongst the highest) from students, developers, and academia in various initiatives like the IBM Quantum Challenge, IBM Quantum Summer School, Qiskit Challenge-India (Qiskit is an open-source software development kit built by IBM for the quantum developer community), and so on. We also have a growing community of Qiskit Advocates and IBM Quantum Ambassadors in India. Furthermore, we regularly organise India-focused programmes such as Qiskit India Week of Quantum, which celebrated women in quantum to kickstart their journeys in quantum, and was attended by almost 300 students. The Qiskit textbook is available in Tamil, Bengali and Hindi and was accessed more than 30,000 times by students in India in 2021 alone. We see India as a talent hub for quantum computing skills that is crucial for growing and maintaining such an interdisciplinary field.
Academia plays an important role in building skills for any deep technology including quantum. Hence, last May, we announced our collaboration with leading educational institutions in India through the IBM Quantum Educators Programme. The faculty and students of these institutions will be able to access IBM Quantum systems, quantum learning resourcesand, quantum tools over IBM Cloud for educational purposes. This allows them to work on actual quantum computers and program them using the Qiskit open-source framework. In partnership with the Indian Institute of Technology Madras, IBM conducted a course on Quantum Computing on the NPTEL platform last year, which had more than 10,000 participants. We are also collaborating with academia for joint research on quantum computing and recently, one of the research papers got accepted at a top Physics Conference.
India is poised to play a pivotal role in the quantum technology revolution globally. IBM is committed to helping India advance its quantum agenda by developing the talent and skills landscape and building an ecosystem with industry, business, academia and government. We are counting on the vibrant Indian talent and expertise to help solve some of the most pressing challenges. As per our quantum roadmap announced in 2021, IBM debuted its first 127-qubit processor. In 2022, IBM extended its quantum roadmap even further to clearly lay out how we will blaze a path towards frictionless quantum computing. This expanded roadmap includes our plans to build a 4,000+qubit processor by 2023, along with significant milestones to build an intelligent quantum software orchestration platform that will abstract away the noise and complexity of quantum machines, and allow large and complicated problems to be easily broken apart and solved across a network of quantum and classical systems. Once realised, this era of quantum-centric supercomputing will open up new, large, and powerful computational spaces for industries globally.
In India, we have a strong team working across research, development, and consulting, working closely with academia, industry, and the public sector. Our team is working to support and accelerate Indias national quantum mission and is participating in building a strong quantum ecosystem as that is crucial for succeeding. The team has been constantly growing to support the needs of the Indian ecosystem and is only expected to grow even further in the coming years as it supports more and more customers to take their quantum journey. We have quantum scientists and engineers around the world conducting fundamental research to improve the technology, as well as collaborating with our partners to advance toward practical applications with a quantum advantage for science and business. Quantum requires multidisciplinary skills and IBM has the best scientists and engineers working together to improve the technology and drive applications of importance to the industry.
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India witnessing growing interest in quantum computing: IBM - The Hindu
The time for hybrids, has finished will Toyota, Honda, and Nissan wake up? – Electrek
Japanese automakers Toyota, Honda, and Nissan, are being called out again for their lack of progress with battery electric vehicles and decarbonization efforts. Greenpeace, a nonprofit organization promoting a sustainable future, released a new study finding that Japanese automakers lag behind their peers.
Japanese automakers have been notoriously slow in their efforts to introduce all-electric models to the market. Despite Toyota being the first to reveal a mass-market hybrid vehicle, the Toyota Prius, in 1997, the automaker (and the entire country) has made little progress since.
Whats interesting, however, is Japan has the third largest economy and hosts some of the most advanced technologies like bullet trains (with speeds up to 199 mph), quantum computing, and smart farming.
Then why is it so behind in decarbonization and fully electric vehicles?
For one thing, Japan has a relatively conservative culture. The country firmly believes in order and hierarchy. So, naturally, when it comes to a significant change, it will be up to the leaders. And if you look at past comments from Toyota, Honda, or Nissans higher-ups, you will notice a trend of thinking similar to the saying, if it isnt broke, dont fix it.
This type of thinking often results in slow change, which we are seeing now. For instance, the Executive Vice President of Sales for Toyota North America was recently quoted saying:
I dont think the market is ready [for EVs]. I dont think the infrastrucutre is ready.
Thats despite all the evidence that shows electric vehicles are the future:
The evidence shows people want EVs, and thats where the market is heading.
Greenpeaces new study finds that Japanese automakers Toyota, Honda, and Nissan rank lowest in their efforts to promote a cleaner future out of the top 10 automakers.
After zero-emission (not hybrids) didnt even generate 1% of the automakers total sales, Toyota ranked dead last. The study also found Toyota to have one of the least developed supply chains for decarbonization.
Climate and energy campaigner for Greenpeace Japan gets it right, saying:
The time for hybrids, I think, has finished.
Yes, it is. Hybrids are not the solution. They are only helpful as a bridge to fully electric vehicles. Only then will the transportation sector trend toward sustainability.
Honda ranked ninth as Greenpeace points out the companys lack of planning to hit its goal of introducing 30 new electric vehicles by 2030.
Ranking eighth is Nissan. Despite building an early lead in the EV market with the Nissan LEAF, zero-emission sales have failed to see much progress.
Although the Japanese automakers have been dragging their feet, it seems they may be warming up to the idea of EVs in the past week or so.
Last week, Toyota announced it would be tripling funding for its North Carolina EV battery plant. Although $3.8 billion isnt massive for an EV battery plant, its still a step up from its previous plans. Furthermore, the automaker said it would convert a Japanese engine facility into an EV battery plant.
On the other hand, Honda also announced last week it would invest $4.4 billion in a partnership with LG Energy to build EV batteries in the US. And then, Tuesday, it partnered with Hanwa for additional battery minerals.
Nissan also dived deeper into the EV market by introducing its first-ever V2G charger for Nissan LEAF owners capable of selling energy back to the grid.
Does this mean they are waking up and smelling the coffee? Well, its a start. I wouldnt go as far as to say they are completely turning the ship around, but recent news does suggest that Toyota, Honda, and Nissan are putting more effort into sustainability.
Increasing investments is the first step. Now we will see if the Japanese automakers will follow through and hopefully play a more significant role in the ever-expanding EV market.
Although they are a few steps behind, they still have time to right the ship. However, time is ticking.
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The time for hybrids, has finished will Toyota, Honda, and Nissan wake up? - Electrek
IBM Research and Israels Technion partner to promote AI efforts – CTech
Following collaborations with leading universities like MIT, Stanford, and Oxford University, IBM Research has announced that it will partner with one of Israels leading academic institutions, the Technion, and the Hebrew University, to invest millions of dollars for Ph.D. students to develop AI research. The announcement was officially signed by President of the Hebrew University of Jerusalem Prof. Asher Cohen, Vice President AI and director of IBM Research Lab in Israel Dr. Aya Soffer, Executive Vice President for Research of the Technion Prof. Koby Rubinstein, and Senior Vice President and director of IBM Research, Dr. Dario Gil.
What we really wanted to do was bring a little more structure, and in particular, find a way to engage Ph.D. students in a more focused way on topics that we believe are going to be important for the future of science, explained Dr. Soffer, who spoke to CTech during the Tech, Science, and Sustainable Society Summit, hosted by IBM Research celebrating 50 years of its presence in Israel.
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President of the Hebrew University of Jerusalem Prof. Asher Cohen, Vice President AI and director of IBM Research Lab in Israel Dr. Aya Soffer, Executive Vice President for Research of the Technion, Prof. Koby Rubinstein and Senior Vice President and director of IBM Research, Dr. Dario Gil
(Photo: Daniel Elior)
Soffer explained that the partnership, which will be spread over three years, will focus on efforts relating to Scaleable AI as an engine of growth. Specifically, emphasis will be placed on three main areas: NLP, accelerated discovery of drug development, and multi-cloud infrastructure, which Soffer described as the future of cloud.
The Tech, Science, and Sustainable Society Summit took place in Tel Aviv and marked the first time that IBM Research brought together academia, industry, startups, investors, and governments. Described as an active conference, it included a wide range of roundtables where each guest was encouraged to discuss topics relating to AI such as the metaverse, drones, NLP, and cybersecurity. Following opening remarks by Soffer and a keynote speech by Dr. Gil, the audience was then treated to two panels exploring the future of AI and quantum computing before splitting into 17 different groups for intimate discussions lasting almost an hour.
Panels were hosted by Soffer and Dr. Alessandro Curioni, IBM Fellow, vice president of Europe and director of the IBM Research lab in Zurich. They included insights from Pitango Venture Capital Co-Founder Chemi Peres, former Israel Innovation Authority CEO Aharon Aharon, and Mellanox Co-Founder Eyal Waldman, among others.
It was beyond all expectations, Soffer said about the event. I was walking around and everyone was sitting at the tables and engaging, its like your vision coming true. We had a vision that this is what it was going to be, and it was just amazing. There were so many deep conversations and a lot of insights came out of it at the end.
The strong belief in collaboration was the inspiration for the summit, which aimed to recreate the attitude felt in IBM Research labs. IBM has been present in Israel for 50 years and Soffer herself has been part of the team for 23 years. The relationship with the Technion started during the very early days of its time in the country, and so the new partnership represents somewhat of a full circle for the company. IBM Research also has partnerships with Ben-Gurion University in the field of cybersecurity.
The combination of a leading technology company like IBM together with our excellent researchers is a combination that provides an optimal response to the information revolution and the computational revolution, said President of the Hebrew University of Jerusalem Prof. Asher Cohen, in a statement. Executive Vice President for Research of the Technion, Prof. Koby Rubinstein added: In recent years, the Technion has been conducting in-depth and extensive activity in AI in a variety of fields. The collaboration with IBM, which will be led by researchers engaged in the field, will be a force multiplier for research and development in the field.
IBMs research laboratory is based in Haifa and represents its largest outside the U.S. It employs hundreds of researchers in a variety of fields such as AI, hybrid cloud, quantum computing, blockchain, healthcare, and IoT. It fosters relationships with various academic institutions and partners in Israel and abroad.
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IBM Research and Israels Technion partner to promote AI efforts - CTech
CATALOG to Collaborate with Seagate to Research DNA-Based Storage and Computation – GlobeNewswire
BOSTON, Sept. 08, 2022 (GLOBE NEWSWIRE) -- Catalog Technologies, Inc. (CATALOG), a leader in automated DNA-based digital data storage and computation, is collaborating with Seagate Technology Holdings plc (NASDAQ: STX), a global leader in data storage solutions, on several initiatives to advance scalable and automated DNA-based storage and computation platforms, including making DNA-based platforms up to 1000 times smaller.
The collaboration will center on using Seagate's lab on a chip technology to reduce the volume of chemistry required for DNA-based storage and computation. Using the Seagate platform, tiny droplets of synthetic DNA can test chemistry at significantly smaller levels. These droplets will be processed through dozens of reservoirs on the Seagate platform. DNA from individual reservoirs is mixed to produce chemical reactions for a range of computing functions, including search and analytics, machine learning, and process optimization.
This research will provide valuable insights into possibilities for the next generation of DNA-based storage and computation platforms in various form factors, including desktop and IoT-sized versions.
CATALOGs first-generation automated and scalable DNA computation and storage platform, Shannon, is about the size of an average family kitchen and was developed as a proof of concept to demonstrate the potential of DNA computation and storage.
The goals for the next-generation platform are to use significantly smaller amounts of chemicals, require less energy, and operate almost anywhereincluding in offices, on ships in the middle of the ocean, and potentially in space.
Why DNA for Storage and Computation Computing applications, including advanced analytics, artificial intelligence, and machine learning, have proven the value of data. The IT industry has witnessed a proliferation of purpose-fit technologies over the last several years,including accelerators (GPUs, FPGAs), quantum computers, as well as extreme parallel computers.The advent of the DNA-based computer complements this portfolio, emphasizinglow-energy use and a small footprint.
CATALOGs goal with this Seagate collaboration is to help advance the ability to preserve the world's most valuable data sets, write and store them forever, and make them available for high-value decision making.
Collaborating with an industry leader like Seagate will help speed our ability to advance DNA storage, said Hyunjun Park, founding CEO of CATALOG. In addition to DNA storage, CATALOG has already discovered the means to incorporate DNA into algorithms and applications with potential widespread cases including artificial intelligence, machine learning, data analytics, and secure computing. This work with Seagate is essential to eventually lowering costs and reducing the complexity of storage systems.
We are excited to collaborate with CATALOG, said Ed Gage, VP of Seagate Research. Their leadership in DNA-based storage and compute, combined with Seagates long history of bringing innovative storage solutions to market, has the potential to accelerate the development and deployment of DNA-based solutions to address the challenges of the rapidly expanding datasphere.
About CATALOG
Catalog Technologies, Inc. (CATALOG) is an automated DNA-based digital data storage and computation company founded in 2016 by MIT scientists. CATALOG is drawing on the natural characteristics of DNA to build a data and compute platform that is more energy efficient, affordably scalable, and highly secure compared to conventional electronic platforms. For more information, visit http://www.catalogdna.com.
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CATALOG to Collaborate with Seagate to Research DNA-Based Storage and Computation - GlobeNewswire
Next Generation Computing Market |(CAGR) of 19.5%| Is Likely to Experience a Tremendous Growth in Near Future -2030 – Taiwan News
Report Ocean published a new survey report on the Next Generation Computing market. The research offers crucial details about growth plans, business opportunities, trends, innovations, the competitive environment in 2021, and a geographical outlook that takes into account North America, Europe, the Asia-Pacific region, Latin America, the Middle East, and Africa.
Market Overview
The comprehensive analyses of the most recent trends, growth prospects, and market growth drivers are offered to readers of the global market research reports. The COVID-19 effects on the Next Generation Computing market are also discussed in detail in the research, along with the markets predicted compound annual growth rate (CAGR) from 2022 to 2030.
The research also provides a market analysis using various analytical techniques, including Porters Five Forces Analysis and PESTEL Analysis. These tools provide an in-depth analysis of the micro- and macro-environmental elements that influence the markets expansion during the forecast period.
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Next-generation computing technologies are evolving with the emergence of new technologies and research disciplines such as distributed computing, artificial intelligence, machine learning, deep learning, cloud computing, parallel computing, grid computing, and related applications. Manage data, applications, etc., provide much more efficient data processing by centralizing storage, memory, processing, bandwidth, etc., by using the Internet and centralized remote services. It can also centralize all the computing resources and manage them automatically via software without intervention.
The global next-generation computing market size was US$ 158.3 billion in 2021. The global next generation computing market size is forecast to reach US$ 785.1 billion by 2030, growing at a compound annual growth rate (CAGR) of 19.5% during the forecast period from 2022 to 2030.
Factors Influencing Market Growth
Impact Analysis of COVID-19
The next-generation computing market has grown in recent years. However, due to the COVID-19 pandemic, software revenues declined slightly in 2020. Most countries implemented a lockdown and closed cities to prevent the virus from spreading. The next-generation computer market is likely to thrive in the coming years after recovering from the COVID 19 pandemic. In addition, various organizations in Asian countries were using advanced computing technology to improve business processes and improve operational efficiency. In addition, various countries have installed quantum computing applications and are adopting quantum computing solutions for healthcare and life science operations without the transmission of viruses.
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Regional Insights
The Asia Pacific is forecast to witness lucrative growth during the forecast period. Strong economic growth and continued development of next-generation computing and real-time data analytics are driving companies to invest heavily in the next-generation computing market to sustain growth and increase productivity. In addition, prominent players are focusing on optimizing their operations and enhancing their overall efficiency to stay competitive in the market, which is forecast to provide lucrative opportunities for the market during the forecast period.
Leading Competitors
The leading prominent companies profiled in the global next-generation computing market are:
Scope of the Report
The global next-generation computing market segmentation focuses on Type, Enterprise Size, Component, Offering, End-User, and Region.
Segmentation based on Type
Segmentation based on Enterprise Size
Segmentation based on Component
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Segmentation based on Offering
Segmentation based on End-User
Segmentation based on Region
What is the goal of the report?
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About Report Ocean:We are the best market research reports provider in the industry. Report Ocean believes in providing quality reports to clients to meet the top line and bottom line goals which will boost your market share in todays competitive environment. Report Ocean is a one-stop solution for individuals, organizations, and industries that are looking for innovative market research reports.
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Next Generation Computing Market |(CAGR) of 19.5%| Is Likely to Experience a Tremendous Growth in Near Future -2030 - Taiwan News
Is Hiring Quantum PhDs the Answer? – Quantum Computing Report
By Yuval Boger
When companies recognize that quantum computing has the potential to dramatically transform their business, they often seek to hire quantum information science PhDs to staff their quantum activities. The thought is that such PhDs are quantum experts and are equipped with knowledge and experience that can help accelerate a companys quantum program. But would hiring many such PhDs be a realistic approach? What might be good alternatives?
One challenge with hiring quantum PhDs is that there are not enough of them. McKinseys June 22 Quantum Technology Monitor reports that there were 851 active quantum computing job postings in Dec 21, yet annually only 290 quantum technology graduates are available to fill these positions without requiring significant training. The same report notes that only 12 universities in the US (and a total of 29 universities worldwide) offer a quantum technology masters degree, so its unlikely that the number of graduates will increase as quickly as the need for their services.
But thats not the only concern. Companies build quantum teams to explore quantum solutions to their specific challenges option pricing, chemical simulation, supply chain optimization, etc. How quickly would these quantum graduates pick up the intricacies of the business? Even if such a graduate became well-versed in high-end finance, for example, they might not have the personal relationships and interpersonal skills to navigate company politics and build organizational support for their efforts. They also often lack relationships with peers in the industry and thus might be limited in their ability to leverage lessons learned in other organizations.
An alternative could be up-skilling, providing quantum training to in-house scientists and engineers that already understand the business and are well-connected in the organization as well as in their respective industries. Quantum computing is a hot topic and, in my experience, many would be highly motivated to participate in quantum training. Many online (sometimes free) courses are available for both beginners and advanced users. Additionally, the emergence of higher-level libraries and abstraction layers makes it easier to create useful quantum software without mastering the fine details of how quantum computers are built or resorting to intricate low-level coding. Often, quantum computing efforts sometimes grow from the bottom up, not by executive edict, and motivated employees just need permission to spend more time learning and exploring. Last, up-skilling promotes employee retention and job satisfaction.
Another option is to plug the skills gap using consulting companies. Firms like BCG or Deloitte can perform two types of functions. The first educating executives, identifying promising use cases, and providing industry benchmarks can be very useful to accelerate a companys quantum program. The second actually writing quantum computing code, whether by generalist companies or those specializing in quantum computing can be a mixed blessing. They might provide trained, able consultants, but organizations sometimes worry about IP-sharing arrangements or the ability to develop their workforce when relying on outside parties.
Last, an emerging option is quantum API marketplaces. Just like Google provides an API for finding the best route between two points, quantum API marketplaces provide pay per use quantum algorithms for optimization, random number generation, and more. They potentially allow faster exploration of use cases without the burden of coding sophisticated algorithms.
Im not recommending shying away from hiring quantum PhDs but rather exploring an intelligent mix of these alternatives. Quantum computing is too important to ignore. Dont slow down the progress by exclusively relying on outside talent.
Yuval Boger is a quantum computing executive. Known as the original Qubit Guy, he most recently served as Chief Marketing Officer for Classiq.
September 1, 2022
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Is Hiring Quantum PhDs the Answer? - Quantum Computing Report
SandboxAQ Joins the Department of Defense Skillbridge Program to Place Military Community Members in Exciting Quantum Tech Careers – PR Web
The Skillbridge program is a win-win for retiring Service members looking to seamlessly transition to meaningful post-military careers and employers looking to hire highly skilled and motivated new talent, said Jen Sovada, President of SandboxAQ Public Sector.
PALO ALTO, Calif. (PRWEB) September 02, 2022
SandboxAQ, an enterprise SaaS company delivering the compound effects of AI and Quantum technology (AQ), today announced it is an authorized partner for the Department of Defense (DoD) Skillbridge program. The SkillBridge program enables Service members to gain valuable civilian work experience through specific industry training, apprenticeships, or internships during the last 180 days of service. SkillBridge connects Service members with industry partners in real-world job experiences.
Through Skillbridge, SandboxAQ will tap into a growing pool of talented and dedicated workers looking to apply their advanced degrees and military experience in fields such as cryptography, cybersecurity, AI, advanced mathematics, program management, natural and applied sciences and other disciplines to develop AQ solutions that solve some of the worlds toughest challenges.
The Skillbridge program is a win-win for retiring Service members looking to seamlessly transition to meaningful post-military careers and employers looking to hire highly skilled and motivated new talent, said Jen Sovada, President of SandboxAQ Public Sector. The quantum ecosystems tremendous growth creates incredible opportunities for Skillbridge participants to apply their advanced degrees and military training towards careers that will deliver groundbreaking technology solutions, protect our national security and improve our way of life.
For Service members SkillBridge provides an invaluable chance to work and learn in civilian career areas. For industry partners, SkillBridge is an opportunity to access and leverage the worlds most highly trained and motivated workforce at no cost. Service members participating in SkillBridge receive their military compensation and benefits, and industry partners provide the training and work experience.
For more information about our exciting career opportunities and employee benefits, please visit our careers page at https://www.sandboxaq.com/careers. To join SandboxAQ via Skillbridge visit https://skillbridge.osd.mil/program-overview.htm and apply today.
About SandboxAQSandboxAQ is an enterprise SaaS company providing solutions at the nexus of AI and Quantum technology (AQ) to address some of the worlds most challenging problems. We leverage the power of classical computing architecture to deliver AQ solutions and technologies today years before fault-tolerant, error-corrected quantum computers become available. Our core team and inspiration formed at Alphabet Inc. in 2016, and SandboxAQ emerged as an independent, venture-backed company in 2022. For more information, please visit https://www.sandboxaq.com.
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What Is Going on With Arqit Quantum (ARQQ) Stock Today? – InvestorPlace
Source: Amin Van / Shutterstock.com
Today has been highly volatile for Arqit Quantum(NASDAQ:ARQQ). The quantum computing company is preparing for the expiration of its voluntary lockup, the period that allows for deals by investors holding at least 105.9 million shares. As a result, ARQQ stock plunged after markets opened, falling more than 10%. Since then, however, it has been slowly trending upward and is now down only 4%. Its current trajectory hints that it could easily pull back into the green before the end of the day.
Despite todays initial plunge, ARQQ has displayed good momentum for most of the week and remains in the green for the past five days by more than 15%. Does this mean that the stock will continue rising after the lock-up period ends tomorrow, though? Lets take a closer look.
Its true that ARQQ stock has risen more than 25% over the past month. However, the company is still recovering from the late April 2022 crash that pushed many stocks down and hasnt displayed much growth until this week. Although Arqit briefly rallied in May on news that the White House would be taking measures to boost quantum computing, it has had no company-specific catalysts since then, casting the stock in a questionable light.
Now with the share lock-up period about to end, investors are left with even more questions. Its common for the end of a lock-up period to push a stock down, but a rally before it expires is less typical and likely wont last. As Seeking Alpha reports:
Of the shares subject to lock-up deals, officers, directors and employees. These are subject to black out period restrictions and cant be traded till after ARQQ reports results for the year ending Sept. 30. 19.5M shares are held by two institutional investors, each of which have a representative on ARQQs board, and 16.8M shares are held by three institutional investors that were early investors in the company.
The Sept. 30 date is an important one, as it may be followed by investors offloading shares. With shares being held by such a small group, any sales could push ARQQ stock down. Theres always the possibility that new investors will seize the opportunity to buy. That doesnt seem likely when we take a macro look at the company, though.
Some would argue that names like ARQQ stock have a distinct advantage; they are part of a niche sector with incredible potential. According to InvestorPlace Senior Analyst Luke Lango, quantum computing is the most underrated, most transformational technological breakthrough since the internet. However, when Lango listed his picks for quantum computing stocks to buy for maximum growth over the coming decade, ARQQ was nowhere to be found. Arqits smaller-cap rival Quantum Computing (NASDAQ:QUBT) did make the list, though. Other experts have also omitted ARQQ from lists of top quantum stocks, highlighting QBUT and peer Rigetti Computing (NASDAQ:RGTI). When we consider the low price points that both stocks trade at, theres no reason for investors to embrace ARQQ.
Arqit hasnt received much analyst coverage, but Seeking Alpha has issued a highly bearish take. The platform gives ARQQ stock an F profitability grading, citing inferior profitability and decelerating momentum vs. other IT stocks. Tomorrows lock-up expiration isnt likely to trigger any real momentum for a stock with limited growth prospects.
On the date of publication, Samuel OBrientdid not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to theInvestorPlace.comPublishing Guidelines.
Samuel OBrient has been covering financial markets and analyzing economic policy for three-plus years. His areas of expertise involve electric vehicle (EV) stocks, green energy and NFTs. OBrient loves helping everyone understand the complexities of economics. He is ranked in the top 15% of stock pickers on TipRanks.
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What Is Going on With Arqit Quantum (ARQQ) Stock Today? - InvestorPlace
Quantum Computing Now And In The Future: Explanation, Applications, And Problems – Forbes
A new generation of computer technology is on the horizon, which many think will eventually increase the computing power available to humanity by factors of thousands or possibly even millions. If this happens, it could vastly increase the speed at which we can carry out many vital tasks, such as discovering and testing new drugs or understanding the impact of climate change.
Quantum Computing Now And In The Future: Explanation, Applications, and Problems
Quantum computing is already with us in limited form. But the next five to 10 years may see it leap into the mainstream in the same way that classical computers moved from labs and large corporations to businesses of all sizes, as well as homes, in the 1970s and 1980s.
However, as well as big leaps forward in what we are able to do with computers, they also require us to face up to a new set of problems, specifically around the threats they pose to security and encryption. And some people think that, in fact, quantum computers may never be useful at all due to their complexity and the limited amount of tasks at which they have been shown to be superior to classical computer technology.
So, heres my overview of where we currently are and where were hoping to get to with quantum computing, with expert input from my most recent podcast guest, Lawrence Gasman, co-founder and president of Inside Quantum Technology and author of over 300 research reports.
What is quantum computing?
Like everything involving the quantum (sub-atomic) domain, quantum computing isnt the easiest concept to get your head around. Fundamentally, the term describes a new (or future) generation of super-fast computers that process information as qubits (quantum bits) rather than the regular bits ones and zeroes of classical computing.
Classical computers are really just much more sophisticated versions of pocket calculators they are based on electrical circuits and switches that can be either on (one) or off (zero). By stringing lots of these ones and zeroes together, they can store and process any information. However, their speed is always limited due to the fact that large amounts of information need a lot of ones and zeroes to represent it.
Rather than simple ones and zeroes, the qubits of quantum computing can exist in many different states. Due to the strange properties of quantum mechanics, this might mean they can exist as one and zero simultaneously (quantum superposition). They can also exist in any state between one and zero.
As Gasman explains, That means you can process a lot more information on a quantum computer, and that means you can do some problems much faster. And sometimes that really matters sometimes its not whoopee I can do this in two hours instead of two days, its whoopee I can do this in two hours instead of nine million years.
Nine million years sounds like the sort of number that people only use when they are exaggerating, but according to some estimates, quantum computers will operate 158 million times faster than the fastest supercomputers available today.
Theres one important caveat, though currently, quantum computers are only really useful for a fairly narrow set of uses. Dont expect to simply be able to plug a quantum processor into your Macbook and do everything that you can do on it now, but millions of times quicker.
So what can quantum computing do better than classical computing?
The truth is that classical computers can solve all of the problems that quantum computers will solve there hasnt yet been a use case discovered for quantum computers that cant already be done with classical computers.
The problem, Gasman tells me, is that it will take classical computers so long to solve them that anyone who starts looking for the answer today will be long dead!
In particular, they are potentially hugely useful for a set of problems known as optimization problems. The idea is illustrated by imagining a traveling salesman who has to visit a number of towns, in any order but without retracing their steps, and doing it while covering the shortest distance (or in the shortest amount of time) possible. Elementary mathematics can show us that as soon as there are more than a few towns, the number of possible routes becomes incredibly high millions or billions. This means that calculating the distance and time taken for all of them in order to find the fastest can take a huge amount of processing power if we're using classical binary computing.
This has implications for fields as diverse as tracing and routing financial transactions across global financial networks, developing new materials by manipulating physical or genetic properties, or even understanding how changing climate patterns affect the world around us.
Gasman tells me, "The ones that have the most potential are, I'd say, in very large banks but if you're a big corporation and you're giving Goldman Sachs a billion dollars to look after, do you really want them to put it in the hands of some newfangled technology? A certain level of trust will have to be established but all the big banks have their own quantum teams now exploring what can be done in the next five to 10 years.
What are the challenges around quantum computing?
Firstly, there are some pressing physics challenges that need to be solved. Qubits themselves, when existing in a physical state as they need to do to represent data and allow computation to take place, are highly unstable. This means they must be held in a super-cooled environment, even to exist for just a few nanoseconds, in order to be of use. This means that quantum computing is currently very expensive, and only the largest companies and best-funded research organizations can afford to own them.
This means that assessing use cases is an expensive and time-consuming process too. Already one use creating more efficient MRI scans - has proven to be a dead end, Gasman tells me.
Its also been suggested that cosmic rays could pose an obstacle to the widespread adoption of quantum computing. Moreover, the errors caused by the phenomena which can affect even classical computing could be even more impactful on the hyper-sensitive engineering needed to harness qubits on a large scale usefully.
Theres also a critical shortage of people with the skills to develop and work with quantum computers. As Gasman puts it, what you want is someone who is a computer scientist, and a physicist, and an expert on pharmaceuticals or finance the specifics of the disciplines are so different that getting people to talk to each other is quite difficult!
Finally, as well as the challenges around implementing quantum computing, we cant ignore the challenges that the technology will potentially create itself when it is widespread.
The one causing the biggest headaches right now is the threat it poses to encryption. Digital cryptography is used today to secure everything online, as well as all of our communications and information, such as military, commercial and national secrets. It works on the basis that encryption methods are so complex it would take classical computers millions or billions of years to crack them by brute-forcing every possible password or key. However, to quantum computers, doing so could be trivial.
"It's a huge issue," Gasman tells me. If I have something encrypted on my machine and its broken by somebody in nine million years, Im not likely to care that much!
But then it turns out that with a quantum computer, it can be decoded like, now this is a real problem!
"We don't have such a quantum computer, and the estimate of when it might appear is anything from five years to never I think it will happen sooner rather than later.
The problem is currently being taken very seriously by governments as well as corporations, which are both putting resources into developing what is known as "post-quantum encryption" so that, hopefully, all of their deepest secrets won't suddenly be laid bare.
What is in store for the future of quantum computing?
The first developments we are expected to see are likely to mirror those that occurred as classical computers moved from being lab toys or something only the largest corporations could afford in the latter half of the 20th century.
This is likely to follow the format of the transition from mainframes (filling entire buildings) to minicomputers (filling rooms) and eventually to microcomputers that could live on our desks.
This democratization of access to quantum power will lead to new use cases as businesses will be able to put it to the test against their own specific sets of challenges.
Gasman says, "A fifty-thousand dollar computer is something that most medium-sized companies can afford an eight-hundred thousand dollar computer not so much.
Problems where quantum computers will potentially be put to use include monitoring and predicting traffic flow across complex urban environments or even processing the huge amounts of data necessary for artificial intelligence and machine learning. If one day humans are able to model a system as complex as a biological brain paving the way for true AI it almost certainly wont be by using classical computing.
Gasman says, "The exciting thing for me is the breakthroughs that are likely to happen. To mix metaphors, the world is quantum computing's oyster. There are lots of good reasons to be in classical computing, but if you're looking for the massive breakthroughs it aint going to happen. Thats the excitement of quantum computing.
You can click here to watch my webinar with Lawrence Gasman, president, and co-founder of IQT Research, where we take a deeper dive into the future of quantum computing and what it means for the world.
To stay on top of the latest on the latest business and tech trends, make sure to subscribe to my newsletter and have a look at my book Business Trends in Practice, which just won the Business Book of the Year 2022.
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Quantum Computing Now And In The Future: Explanation, Applications, And Problems - Forbes
Multiverse Computing Introduces a New Version of their Singularity Portfolio Optimization Software – Quantum Computing Report
Multiverse Computing Introduces a New Version of their Singularity Portfolio Optimization Software
We reported in August 2021 about a new software program from Multiverse Computing called Singularity. This program has an interesting characteristic in that it is implemented as an Excel plug-in that make it easy and quick for an inexperienced end user to try without requiring them to learn a lot about quantum computing. They have now released an update to this program that includes Singularity Portfolio Optimization v1.2 that supports a variety of modes including a Multiverse Hybrid mode, a D-Wave Leap Hybrid mode, and a pure classical solver. The program also can accept a variety of constraints while performing the optimizations including investors level of risk aversion, resolution of asset allocation, minimum and maximum allowable investment per asset, and others. The portfolio optimizer uses Multiverses hybrid solver for its core algorithms and the company indicates it can produce results competitive to classical solvers in a shorter period of time. The program is hardware agnostic and can be used with a variety of different quantum processors as well as quantum-inspired and classical configurations. Additional information about this new version of Singularity is available in a news release posted on the Multiverse website here.
August 28, 2022
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Multiverse Computing Introduces a New Version of their Singularity Portfolio Optimization Software - Quantum Computing Report