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Qiskit is an open-source framework for creating and running programs on quantum computers. The project was launched by IBM four years ago as an effort to introduce more programmers to quantum computing.

Since then, IBM has updated the SDK to better meet users needs and have provided pulse-level control to help programmers understand and work with qubits. Additionally, the company recently added the Qiskit Optimization model, which enables programmers to focus more on programs and less on how quantum systems work.

RELATED CONTENT: The climb to quantum supremacy

IBM recently announced plans to evolve the Qiskit and provide a runtime environment that better reflects the developer community needs.

Plans include:

These changes, and those to come, all work toward creating frictionless programming on our quantum computers. That makes it easier for programmers to find what theyre looking for and creates a lower barrier to entry for scientists, financial analysts and other domain expert non-programmers who care more about leveraging the power of quantum computing to solve specific problems than they do about quantum circuits or qubit coherence, the IBM Quantum team wrote in a post.

IBM also recently announced a Quantum Developer Certification program to help provide developers with quantum computing skills.

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SD Times Open-Source Project of the Week: Qiskit - SDTimes.com

Syndicate Market Research recently launched a study report on theglobal Quantum Computing marketproject light on the significant drifts and vigorous cannon into the evolution of the trade, which includes the restraints, market drivers, and opportunities. The report talks about the competitive environment prevailing in the Quantum Computing market worldwide. The report lists the key players in the market and also provides insightful information about them such as their business overview, product segmentation, and revenue segmentation. In 2018, the global Quantum Computing market size was xx million US$ and it is expected to reach xx million US$ by the end of 2026, with a CAGR of xx% during 2019-2026.

The Specialist team offers you a Free PDF Sample copy of the research report as per your Querry/Requirement, additionally, impact analysis of COVID-19 provides on Quantum Computing industry development

The authors of the report have segmented the global Quantum Computing market as per vendor list, product, application, and region.Segments of the global Quantum Computing market are analyzed on the basis of market share, production, consumption, revenue, CAGR, market size, and more factors.The analysts have characterized leading industry players of the universal Quantum Computing market, keeping in vision their recent developments, market sales, share, revenue, product portfolio, areas covered, and other aspects.

The top players including Overview, Financials, Product Portfolio, Business Strategy, and Recent Developments:Evolutionq Inc, Rigetti Computing, Quantum Circuits Inc, Hitachi Ltd, Nippon Telegraph And Telephone Corporation (NTT), Hewlett Packard Enterprise (HP), QC Ware Corp, International Business Machines Corporation (IBM), Northrop Grumman Corporation, Toshiba

How data can be gathered?

With all the information congregated and examined using SWOT analysis, there is a vivacious picture of the competitive landscape of the Global Quantum Computing Market. Openings for the future market development were revealed and preoccupied competitive dangers likewise textured. The movement and tendency of this market were considered and it illustrates that there was outstanding strategic supervision observed. By the grasping market foundation and using the determined excellence, methodologies, and inclinations of other driving markets for references, market statistics was understood.

Globally, the global Quantum Computing market has been fragmented into various regions such asNorth America, Latin America, Middle East, Asia-Pacific, Africa, and Europe. Furthermore, it gives a holistic snapshot of the competitive landscape across the world. To get a better outlook in the businesses, it offers various strategies and methodologies. The global Quantum Computing market has been presented in a clear, concise and professional manner which helps to better understanding readers. Different infographics have been incorporated in the report, to offer the graphical presentation of some significant facts and figures of the market.

North America:U.S.Canada, Rest of North AmericaEurope:UK, Germany, France, Italy, Spain, Rest of EuropeAsia Pacific:China, Japan, India, Southeast Asia, Rest of Asia PacificLatin America:Brazil, Argentina, Rest of Latin AmericaThe Middle East and Africa:GCC Countries, South Africa, Rest of Middle East & Africa

Points Covered in The Report:Global Quantum Computing market 2021 studies afford a primary overview of the enterprise which includes definitions, classifications, programs, and industry chain structure. The Global Quantum Computing Market analysis is supplied for the global markets which include improvement developments, competitive landscape evaluation, and key areas development status. Development policies and plans are discussed in addition to manufacturing procedures and value systems are also analyzed. This document also states import/export consumption, delivery and call for Figures, value, price, sales, and gross margins.

Types: Simulation, Sampling, Optimization

Applications: Banking & Finance, Defense, Energy & Power, Healthcare & Pharmaceuticals, Chemicals

Chapter 1Introduction

Chapter 2Industry Cost Structure and Economic Impact

Chapter 3Rising Trends and New Technologies with Major Manufacturers Profiles/Analysis

Chapter 4Global Quantum Computing Market Analysis, Trends, Growth Factor, Porters Five Forces Analysis

Chapter 5Quantum Computing Market Supply (Production), Consumption, Export, Import and Business with Potential Analysis by Region

Chapter 6Global Quantum Computing Market Production, Revenue (Value), Price Trend by Type and Application

Chapter 7Marketing Strategy Analysis, Distributors/Traders

Chapter 8Industrial Demand-Supply Chain, Sourcing Strategy and Downstream Buyers

Chapter 9Development Trend of Analysis, Market Effect Factors Analysis

Chapter 10Research Findings and Conclusion

This seriously explored report introduction has been set up progressively speech, delivering considerable consideration towards the COVID-19 episode that has of late unleashed phenomenal harm across businesses, deteriorating development.

Quantum Computing Market study report analyses the impact of Coronavirus (COVID-19) on the leading manufacturers in the industry. In December 2019, the first case of the Covid-19 virus was reported in China. From that point forward, the illness has spread to almost 180+ nations around the globe.

The WHO declared it a public health emergency. The global effects of coronavirus disease (Covid-19) is already being felt and will have a significant impact on the Quantum Computing market by 2020.

The outbreak of Covid-19 has influenced numerous variables, for example, flight undoings and disconnection, the revelation of the highly sensitive situation in numerous nations, gigantic inventory network speed, securities exchange vulnerability, closure of restaurants, ban on all indoor events, declining business guarantees, growing population panic and panic among the population and Uncertainty about the future.

At Syndicate Market Research, we provide reports about a range of industries such as healthcare & pharma, automotive, IT, insurance, security, packaging, electronics & semiconductors, medical devices, food & beverage, software & services, manufacturing & construction, defense aerospace, agriculture, consumer goods & retailing, and so on.

For more information, you can freely ask any question regarding market situations, Challenges that you want, our research team will always help 24X7 @sales@syndicatemarketresearch.com

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Quantum Computing Market Analysis: The transformative Impact Due To COVID-19 The Courier - The Courier

The cloud company published a new blueprint for a fault-tolerant quantum computer that describes a new way of controlling qubits to make sure that they carry out calculations as accurately as possible.

Amazon's cloud subsidiary AWS has released its first research paper detailing a new architecture for a future quantum computer, which, if realized, could set a new standard for error correction.

The cloud company published a new blueprint for a fault-tolerant quantum computer that, although still purely theoretical, describes a new way of controlling quantum bits (or qubits) to ensure that they carry out calculations as accurately as possible.

The paper is likely to grab the attention of many experts who are working to improve quantum error correction (QEC), a field that's growing in parallel with quantum computing that seeks to resolve one of the key barriers standing in the way of realising useful, large-scale quantum computers.

Quantum systems, which are expected to generate breakthroughs in industries ranging from finance to drug discovery thanks to exponentially greater compute capabilities, are effectively still riddled with imperfections, or errors, that can spoil the results of calculations.

SEE: Hiring Kit: Computer Hardware Engineer (TechRepublic Premium)

The building blocks of quantum computers, qubits, exist in a special, quantum state: instead of representing either a one or a zero, like the bits found in classical devices, quantum bits can exist in both states at the same time. While this enables a quantum computer to carry out many calculations at once, qubits are also highly unstable, and at risk of collapsing from their quantum state as soon as they are exposed to the outside environment. Consequently, the calculations performed by qubits in quantum gates cannot always be relied upon -- and scientists are now exploring ways to discover when a qubit has made an error, and to correct the mistake.

"The quantum algorithms that are known to be useful -- those that are likely to have an overwhelming advantage over classical algorithms -- may require millions or billions of quantum gates. Unfortunately, quantum gates, the building blocks of quantum algorithms, are prone to errors," said AWS Center for Quantum Computing research scientists Patricio Arrangoiz-Arriola and Earl Campbellin a blog post.

"These error rates have decreased over time, but are still many orders of magnitude larger than what is needed to run high-fidelity algorithms. To reduce error rates further, researchers need to supplement approaches that lower gate error rates at the physical level with other methods such as QEC."

There are different ways to carry out quantum error correction. The conventional approach, known as active QEC, uses many imperfect qubits (called 'physical qubits') to correct one qubit that has been identified as faulty, to restore the particle to a state of precision. The controllable qubit created in this way is called a 'logical qubit'.

Active QEC, however, creates a large hardware overhead in that many physical qubits are required to encode every logical qubit, which makes it even harder to build a universal quantum computer comprising large-scale qubit circuits.

Another approach, passive QEC, focuses on engineering a physical computing system that has an inherent stability against errors. Although much of the work around passive QEC is still experimental, the method aims to create intrinsic fault-tolerance that could accelerate the construction of a quantum computer with a large number of qubits.

In the new blueprint, AWS's researchers combine both active and passive QEC to create a quantum computer that, in principle, could achieve higher levels of precision. The architecture presents a system based on 'cat states' -- a form of passive QEC where qubits are kept in a state of superposition within an oscillator, while pairs of photons are injected and extracted to ensure that the quantum state remains stable.

This design, according to the scientists, has been shown to reduce bit-flip error, which occurs when a qubit's state flips from one to zero or vice versa. But to further protect qubits from other types of error that might arise, the researchers propose coupling passive QEC with known active QEC techniques.

Repetition code, for example, is a well-established approach to detect and correct error in quantum devices, which Arrangoiz-Arriola and Campbell used together with cat states to improve fault tolerance in their theoretical quantum computer.

The results seem promising: the combination of cat states and repetition code produced an architecture in which just over 2,000 superconducting components used for stabilization could produce a hundred logical qubits capable of executing a thousand gates.

"This may fit in a single dilution refrigerator using current or near-term technology and would go far beyond what we can simulate on a classical computer," said Arrangoiz-Arriola and Campbell.

Before the theoretical architecture proposed by the researchers takes shape as a physical device, however, several challenges remain. For example, cat states have already been demonstrated in the lab in previous proof-of-concept experiments, but they are yet to be produced at a useful scale.

The paper nevertheless suggests that AWS is gearing up for quantum computing, as major tech players increasingly enter what appears to be a race for quantum.

IBM recentlyunveiled a roadmapthat eyes a 1,121-qubit system for 2023, and is currently working on a 127-qubit processor. Google's 54-qubit Sycamore chip made headlines in 2019for achieving quantum supremacy; and Microsoft recently made itscloud-based quantum ecosystem, Azure Quantum, available for public preview.

Amazon, for its part, launched an AWS-managed service called Amazon Braket, which allows scientists, researchers and developers toexperiment with computers from quantum hardware providers, such as D-Wave, IonQ and Rigetti. However, the company is yet to build its own quantum computer.

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AWS reveals a new method to build a more accurate quantum computer - ZDNet

[Courtesty of LG Electronics]

Multiphysics is the coupled processes or systems involving more than one simultaneously occurring physical field and the studies of and knowledge about these processes and systems. Multiphysics simulations are used to analyze and validate them.

LG Electronics said the joint study would increase the competitiveness of future technologies by utilizing quantum computing that uses quantum bits or qubits, based on the principles of quantum theory, which explains the nature and behavior of energy and matter on the quantum level. Theoretically, a quantum computer would gain enormous processing power and perform tasks using all possible permutations simultaneously.

"Quantum computing is an innovative technology that goes beyond existing technologies and has considerable potential," said LG Electronics chief technology officer Park Il-pyung."Based on open innovation strategies, we will strengthen technological competitiveness with potential companies like Qu&Co and promote a high-level application study."

Qu&Co CTO Vincent Elfving said his company would cooperate with LG Electronics to introduce a new technology that effectively solves non-linear problems by utilizing quantum algorithms. The Amsterdam-based company develops quantum-computing algorithms, software and services running on currently available quantum hardware.

South Korea has joined an international race to develop quantum computing technology and hardware. The Ministry of Science and ICT aims to develop a practical five-qubit quantum computer by 2023.

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LG Electronics works with Dutch firm to develop quantum computing technology for multiphysics simulation - Aju Business Daily

ARMONK, N.Y.andCLEVELAND Cleveland Clinicand IBM (NYSE:IBM) have announced a planned 10-year partnership to establish the Discovery Accelerator, a joint effort to advance the pace of discovery in healthcare and life sciences through the use of high performance computing on the hybrid cloud, artificial intelligence (AI) and quantum computing technologies.

The collaboration is anticipated to build a robust research and clinical infrastructure to empower big data medical research in ethical, privacy preserving ways, discoveries for patient care and novel approaches to public health threats such as the COVID-19 pandemic. Through the Discovery Accelerator,the researchers plan to use advanced computational technology to generate and analyze data to help enhance research in the newGlobal Center for Pathogen Research & Human Health,in areas such as: genomics, single cell transcriptomics, population health, clinical applications, and chemical and drug discovery.

Through this innovative collaboration, we have a unique opportunity to bring the future to life, saidTom Mihaljevic, M.D., CEO and President of Cleveland Clinic. These new computing technologies can help revolutionize discovery in the life sciences.The Discovery Accelerator will enable our renowned teams to build a forward-looking digital infrastructure and help transform medicine, while training the workforce of the future and potentially growing our economy.

The COVID-19 pandemic has spawned one of the greatest races in the history of scientific discovery one that demands unprecedented agility and speed, saidArvind Krishna, Chairman and Chief Executive Officer of IBM. At the same time, science is experiencing a change of its own with high performance computing, hybrid cloud, data, AI, and quantum computing, being used in new ways to break through long-standing bottlenecks in scientific discovery. Our new collaboration with Cleveland Clinic will combine their world-renowned expertise in healthcare and life sciences with IBMs next-generation technologies to make scientific discovery faster, and the scope of that discovery larger than ever.

Quantum will make the impossible possible, and whenthe Governor and I announced the Cleveland Innovation District earlier this year, this was the kind of innovative investment I hoped it would advance, said Ohio Lt. GovernorJon Husted, Director of InnovateOhio. A partnership between these two great institutions will putCleveland, andOhio, on the map for advanced medical and scientific research, providing a unique opportunity to improve treatment options for patients and solve some of our greatest healthcare challenges.

The Discovery Accelerator will serve as the technology foundation for Cleveland Clinics newGlobal Center for Pathogen Research & Human Health,announced last month as part of theCleveland Innovation District. The center, supported by a$500 millioninvestment from theState of Ohio, Jobs Ohio and Cleveland Clinic, brings together a research team focused on broadening understanding of viral pathogens, virus-induced cancers, genomics, immunology and immunotherapies. It will build upon Cleveland Clinics existing programs and expertise, with newly recruited world leaders in immunology, cancer biology, immune-oncology and infectious disease research as well as technology development and education. Researchers will expand critical work on studying, preparing and protecting against emerging pathogens and virus-related diseases.

The pace of progress in science historically has been limited by bottlenecks. Researchers are increasingly working to overcome these bottlenecks with the application of AI, quantum computing and hybrid cloud technologies. New technologies are enabling accelerated methods of discovery that include deep search, AI and quantum-enriched simulation, generative models, and cloud-based AI-driven autonomous labs. Leveraging these combined innovations will supercharge new generations of information technology,fuel important advances in science, and IBM will provide access to a variety of research and commercial technologies, education and tools to assist Cleveland Clinic in accelerating discovery in healthcare and life science, includingRoboRXN, a cloud-based platform that combines AI models and robots to help scientists design and synthesize new molecules remotely; theIBM Functional Genomics Platform, a cloud-based repository and research tool, which uses novel approaches to reveal the molecular features in viral and bacterial genomes to help accelerate discovery of molecular targets required for drug design, test development and treatment;Deep Search,which helps researchers access structured and unstructured data quickly; andHigh-Performance Hybrid Cloud Computingtechnologies that can enable researchers to burst their workloads into the cloud and access the resources they need at scale.

Quantum computing has the potential to have an immense impact on key healthcare challenges, such as the discovery of new molecules that can serve as the basis of new pharmaceutical breakthroughs and spur the development of new medicines and could help enhance the ability to derive deep insight from complex data that is at the heart of some of the largest challenges in healthcare.

The Discovery Accelerator will leverage IBMs multi-year roadmap for advancing quantum computing, bringing its revolutionary capabilities into the hands of scientists and practitioners in healthcare and life sciences. In addition to an on-premises quantum system, Cleveland Clinic will also have access to IBMs fleet of currently more than 20 quantum systems, accessible via the cloud. IBM is targeting to unveil its first next generation 1,000+ qubit quantum system in 2023, and Cleveland Clinic is planned to be the site of the first private-sector on-premises system.

A significant pillar of the program plans to focus on educating the workforce of the future and creating jobs to grow the economy. The 10-year collaboration plans to include education and workforce development opportunities related to quantum computing.

The innovative educational curriculum will be designed for participants from high school to professional level and offer training and certification programs in data science and quantum computing, building the skilled workforce needed for cutting-edge data science research of the future. Cleveland Clinic and IBM plan to hold research symposia and workshops with joint sessions by IBM and academic researchersfor academia, industry, government and the general public.

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Cleveland Clinic and IBM Partner on HPC, AI and Quantum Computing - insideHPC