Quantum algorithm

IQM Academy: Europe's Leading Quantum Computer Manufacturer Launches Free Online Course for All

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Wednesday, March 22, 2023
Apps, Applications, Mobile, Wireless, Technology, Professional Services, Start-Up, Hardware, Training, University, Primary, Secondary, Education, Workforce, Quantum algorithm, Health, Agriculture, Journey, Multimedia, Computer, IQM, Silicon, Algorithm, European, Microscope

IQM Quantum Computers (IQM), the European leader in building quantum computers, today launched a global initiative, “IQM Academy,” to offer a free online quantum training course to educate and prepare talent for quantum workforce development.

Key Points: 
  • IQM Quantum Computers (IQM), the European leader in building quantum computers, today launched a global initiative, “IQM Academy,” to offer a free online quantum training course to educate and prepare talent for quantum workforce development.
  • Dr. Jan Goetz, CEO and Co-founder at IQM Quantum Computers, said: “We are excited about this initiative, which is part of our commitment to provide education on quantum computing to everyone, regardless of their background.
  • No prior quantum computing experience is required to get started with the IQM Academy — participants will learn different ideas about quantum computing, its algorithms, and applications.
  • IQM Academy is available on both desktop and mobile devices and can be accessed here: https://academy.meetiqm.com/

Cambridge Quantum algorithm solves optimisation problems significantly faster, outperforming existing quantum methods

Retrieved on: 
Thursday, July 22, 2021
Academic disciplines, Theoretical computer science, Quantum information science, Articles, Emerging technologies, Quantum computing, Computational complexity theory, Quantum algorithm

CAMBRIDGE, England, July 22, 2021 /PRNewswire/ -- In a development that is likely to set a new industry standard, scientists at Cambridge Quantum (CQ) have developed a new algorithm for solving combinatorial optimisation problems that are widespread in business and industry, such as travelling salesman, vehicle routing or job shop scheduling, using near-term quantum computers.

Key Points: 
  • In this paper published on the pre-print repository arXiv, CQ scientists introduce the Filtering Variational Quantum Eigensolver (F-VQE) to make combinatorial optimisation more efficient.
  • Using the Honeywell System Model H1 quantum computer, the new approach outperformed existing "gold standard" algorithms such as the Quantum Approximate Optimisation Algorithm (QAOA) and the original VQE, reaching a good solution 10 to 100 times faster.
  • "F-VQE has distinct advantages over previous quantum algorithms: it finds good candidate solutions faster and uses quantum hardware much more efficiently.
  • Tony Uttley, President of Honeywell Quantum Solutions, said, "This project illustrates the exciting advances occurring in quantum computing.

Cambridge Quantum algorithm solves optimisation problems significantly faster, outperforming existing quantum methods

Retrieved on: 
Thursday, July 22, 2021
Academic disciplines, Theoretical computer science, Quantum information science, Articles, Emerging technologies, Quantum computing, Computational complexity theory, Quantum algorithm

CAMBRIDGE, England, July 22, 2021 /PRNewswire/ -- In a development that is likely to set a new industry standard, scientists at Cambridge Quantum (CQ) have developed a new algorithm for solving combinatorial optimisation problems that are widespread in business and industry, such as travelling salesman, vehicle routing or job shop scheduling, using near-term quantum computers.

Key Points: 
  • In this paper published on the pre-print repository arXiv, CQ scientists introduce the Filtering Variational Quantum Eigensolver (F-VQE) to make combinatorial optimisation more efficient.
  • Using the Honeywell System Model H1 quantum computer, the new approach outperformed existing "gold standard" algorithms such as the Quantum Approximate Optimisation Algorithm (QAOA) and the original VQE, reaching a good solution 10 to 100 times faster.
  • "F-VQE has distinct advantages over previous quantum algorithms: it finds good candidate solutions faster and uses quantum hardware much more efficiently.
  • Tony Uttley, President of Honeywell Quantum Solutions, said, "This project illustrates the exciting advances occurring in quantum computing.

Honeywell and Cambridge Quantum Reach New Milestones

Retrieved on: 
Wednesday, July 21, 2021
Academic disciplines, Quantum computing, Theoretical computer science, Quantum information science, Quantum mechanics, Quantum Volume, Quantum error correction, Qubit, Quantum algorithm, Quantum programming, Quantum information

For the first time, researchers at Honeywell Quantum Solutions demonstrated repeated rounds of real-time quantum error correction (QEC), an advancement that represents a significant step toward the realization of large-scale quantum computing.

Key Points: 
  • For the first time, researchers at Honeywell Quantum Solutions demonstrated repeated rounds of real-time quantum error correction (QEC), an advancement that represents a significant step toward the realization of large-scale quantum computing.
  • Beyond the hardware milestones, Cambridge Quantum also has developed a new quantum algorithm that uses fewer qubits to solve optimization problems.
  • "These technical milestones of quantum error correction and quantum volume, together with advanced software from Cambridge Quantum, will allow us to increase the viability of quantum computing in the real-world."
  • Honeywell and Cambridge Quantum announced in June they are combining to form the world's largest, stand-alone quantum computing company.

QC Ware Forge Breaks New Ground with Industry-first Quantum Linear Algebra APIs

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Tuesday, June 22, 2021
Academic disciplines, Quantum information science, Theoretical computer science, Emerging technologies, Articles, Quantum programming, Quantum computing, Quantum machine learning, QC Ware, Quantum optimization algorithms, Quantum algorithm, Cloud-based quantum computing

Designed specifically for data scientists and quantum engineers, Forge will now offer linear algebra APIs and data loader circuits which can be used as building blocks for quantum algorithms.

Key Points: 
  • Designed specifically for data scientists and quantum engineers, Forge will now offer linear algebra APIs and data loader circuits which can be used as building blocks for quantum algorithms.
  • Linear algebra calculations are at the heart of complex quantum optimization and quantum machine learning algorithms and critical for the realization of quantum computing advantage.
  • QC Ware is hosting an online webinar, QC Ware Forge Webinar: Industry-first Quantum Linear Algebra API, on June 24 at 9:00 AM Pacific.
  • QC Ware Forge, the company's flagship quantum computing cloud service, is built for data scientists with no quantum computing background.

Quantum Computing Inc. Enters 3-Year Agreement with Los Alamos National Laboratory in Exascale & Petascale Simulations

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Monday, June 14, 2021
Academic disciplines, Articles, Theoretical computer science, Emerging technologies, Quantum information science, Quantum computing, Quantum cryptography, Quantum algorithm, Los Alamos National Laboratory, Quantum information

QCIs Qatalyst quantum software will be used to process Los Alamos computational meshes via a focus on hybrid classical/quantum algorithms.

Key Points: 
  • QCIs Qatalyst quantum software will be used to process Los Alamos computational meshes via a focus on hybrid classical/quantum algorithms.
  • Achieving petascale and especially exascale simulations requires larger meshes that can benefit from QCIs recently announced QGraph graph-analytic capabilities.
  • Los Alamos National Laboratory is committed to supporting R&D at the frontier of quantum information sciences to enable responsive solutions for emerging national security needs, said Irene Qualters, Associate Laboratory Director for Simulation and Computation and leader of Los Alamos quantum computing research and development.
  • Quantum Computing Inc. (QCI) (OTCQB: QUBT) is focused on accelerating the value of quantum computing for real-world business solutions.

Cambridge Quantum Develops Algorithm to Accelerate Monte Carlo Integration on Quantum Computers

Retrieved on: 
Thursday, May 27, 2021
Academic disciplines, Quantum information science, Theoretical computer science, Quantum mechanics, Emerging technologies, Quantum computing, Computational complexity theory, Cambridge Quantum Computing, Quantum Monte Carlo, Quantum supremacy, Quantum algorithm, Quantum machine learning

CAMBRIDGE, United Kingdom, May 27, 2021 /PRNewswire/ --Cambridge Quantum Computing ( CQC ) today announced the discovery of a new algorithm that accelerates quantum Monte Carlo integration - shortening the time to quantum advantage and confirming the critical importance of quantum computing to the finance industry in particular.

Key Points: 
  • CAMBRIDGE, United Kingdom, May 27, 2021 /PRNewswire/ --Cambridge Quantum Computing ( CQC ) today announced the discovery of a new algorithm that accelerates quantum Monte Carlo integration - shortening the time to quantum advantage and confirming the critical importance of quantum computing to the finance industry in particular.
  • It is a critical aspect of the computational machinery underpinning the modern world.
  • CQC have solved the problem with an algorithm detailed in a released pre-print of a paper by Senior Research Scientist, Steven Herbert, showing how historic challenges are eliminated, and the full quadratic quantum advantage is obtained.
  • Founded in 2014 and backed by some of the world's leading quantum computing companies, CQC is a global leader in quantum software and quantum algorithms, enabling clients to achieve the most out of rapidly evolving quantum computing hardware.

Cambridge Quantum Develops Algorithm to Accelerate Monte Carlo Integration on Quantum Computers

Retrieved on: 
Thursday, May 27, 2021
Academic disciplines, Quantum information science, Theoretical computer science, Quantum mechanics, Emerging technologies, Quantum computing, Computational complexity theory, Cambridge Quantum Computing, Quantum Monte Carlo, Quantum supremacy, Quantum algorithm, Quantum machine learning

CAMBRIDGE, United Kingdom, May 27, 2021 /PRNewswire/ --Cambridge Quantum Computing ( CQC ) today announced the discovery of a new algorithm that accelerates quantum Monte Carlo integration - shortening the time to quantum advantage and confirming the critical importance of quantum computing to the finance industry in particular.

Key Points: 
  • CAMBRIDGE, United Kingdom, May 27, 2021 /PRNewswire/ --Cambridge Quantum Computing ( CQC ) today announced the discovery of a new algorithm that accelerates quantum Monte Carlo integration - shortening the time to quantum advantage and confirming the critical importance of quantum computing to the finance industry in particular.
  • It is a critical aspect of the computational machinery underpinning the modern world.
  • CQC have solved the problem with an algorithm detailed in a released pre-print of a paper by Senior Research Scientist, Steven Herbert, showing how historic challenges are eliminated, and the full quadratic quantum advantage is obtained.
  • Founded in 2014 and backed by some of the world's leading quantum computing companies, CQC is a global leader in quantum software and quantum algorithms, enabling clients to achieve the most out of rapidly evolving quantum computing hardware.

Cambridge Quantum Computing Pioneers Quantum Machine Learning Methods for Reasoning

Retrieved on: 
Tuesday, March 30, 2021
Quantum information science, Academic disciplines, Theoretical computer science, Emerging technologies, Quantum programming, Quantum mechanics, Quantum computing, Cambridge Quantum Computing, Quantum machine learning, Quantum algorithm

CAMBRIDGE, England, March 30, 2021 /PRNewswire/ -- Scientists at Cambridge Quantum Computing ( CQC ) have developed methods and demonstrated that quantum machines can learn to infer hidden information from very general probabilistic reasoning models.

Key Points: 
  • CAMBRIDGE, England, March 30, 2021 /PRNewswire/ -- Scientists at Cambridge Quantum Computing ( CQC ) have developed methods and demonstrated that quantum machines can learn to infer hidden information from very general probabilistic reasoning models.
  • These methods could improve a broad range of applications, where reasoning in complex systems and quantifying uncertainty are crucial.
  • In this video , Dr. Mattia Fiorentini, Head of our Quantum Machine Learning division, provides detailed insight on the project outcomes and its implications.
  • Founded in 2014 and backed by some of the world's leading quantum computing companies, CQC is a global leader in quantum software and quantum algorithms, enabling clients to achieve the most out of rapidly evolving quantum computing hardware.

Cambridge Quantum Computing Pioneers Quantum Machine Learning Methods for Reasoning

Retrieved on: 
Tuesday, March 30, 2021
Quantum information science, Academic disciplines, Theoretical computer science, Emerging technologies, Quantum mechanics, Quantum programming, Quantum computing, Cambridge Quantum Computing, Quantum machine learning, Quantum algorithm, Quantum information, Centre for Quantum Computation

- Quantum-assisted reasoning based on partial information demonstrates quantum machine intelligence that is accurate, flexible, and effective

Key Points: 
  • - Quantum-assisted reasoning based on partial information demonstrates quantum machine intelligence that is accurate, flexible, and effective
    CAMBRIDGE, England, March 30, 2021 /PRNewswire/ -- Scientists at Cambridge Quantum Computing ( CQC ) have developed methods and demonstrated that quantum machines can learn to infer hidden information from very general probabilistic reasoning models.
  • These methods could improve a broad range of applications, where reasoning in complex systems and quantifying uncertainty are crucial.
  • In this video , Dr. Mattia Fiorentini, Head of our Quantum Machine Learning division, provides detailed insight on the project outcomes and its implications.
  • Founded in 2014 and backed by some of the world's leading quantum computing companies, CQC is a global leader in quantum software and quantum algorithms, enabling clients to achieve the most out of rapidly evolving quantum computing hardware.