Quantinuum is Making News
Quantinuum is actively building a world-wide ecosystem of quantum collaborators. We’ve got a lot to talk about and people are talking about us.
News
July 23, 2024
Singapore Inks MoU with Quantinuum, Enabling Access to their Advanced Quantum Computer
Singapore’s National Quantum Office (NQO), Agency for Science, Technology and Research (A*STAR), National University of Singapore (NUS), National Supercomputing Centre (NSCC) and Quantinuum signed a Memorandum of Understanding (MoU) today, enabling access to Quantinuum’s advanced quantum computer, and to explore and collaborate on quantum computing use cases, focusing on computational biology.
July 16, 2024
Quantinuum researchers resurrect an old technique, reducing resource requirements for quantum chemistry
Quantum computing promises to help us understand chemistry in its purest form – ultimately leading to a better understanding of everything from drug development to superconductors.
July 11, 2024
Quantinuum and Science and Technology Facilities Council (STFC) Hartree Centre partner to advance quantum innovation and development in the UK
Quantinuum, the world’s largest integrated quantum computing company, has signed a Joint Statement of Endeavour with the STFC Hartree Centre, one of Europe’s largest supercomputing centers dedicated to industry engagement.
June 26, 2024
Quantinuum researchers tackle AI’s ‘interpretability problem’, helping us build safer systems
The Artificial Intelligence (AI) systems that have recently permeated our lives have a serious problem: they are built in a way that makes them very hard - and sometimes impossible - to understand or interpret. Luckily, our team is tackling this problem, and we’ve just published a new paper that covers the issue in detail.
June 17, 2024
Quantinuum researchers are unlocking a more efficient and powerful path towards fault tolerance
In a new paper from Quantinuum’s world class quantum error correction team, we have made a hugely significant step towards one of the key issues faced in quantum error correction – that of executing fault-tolerant gates with efficient codes.
June 14, 2024
In a new paper, Quantinuum scientists have perfected a way of doing maths with diagrams instead of symbols
Doing mathematical physics with diagrams instead of traditional formalism allows researchers to tackle difficult problems in an intuitive and mathematically strict way that opens the door to new insights and solutions. The new calculus we are developing that we refer to as ZX calculus, also known as Penrose Spin Calculus, has applications in fields as diverse as quantum chemistry, condensed matter physics, and loop quantum gravity.
June 12, 2024
We’ve just found a new, resource-efficient way to set up calculations
A key step in many quantum algorithms is setting everything up: you need all your dominoes in place before you can do much else. This is called “state preparation”, and it’s a trickier problem than it might seem.
June 5, 2024
Quantinuum’s H-Series hits 56 physical qubits that are all-to-all connected, and departs the era of classical simulation
Quantinuum’s H-Series combines full scalability with market-leading fidelity, performance, and error correction capabilities. In a demonstration with JPMorgan Chase & Co., Quantinuum’s H2-1 with 56 qubits achieved a massive uplift in an iconic demonstration.
May 30, 2024
Join us at DAMOP to discover how Quantinuum is advancing quantum computing
The 55th Annual Meeting of the APS Division of Atomic, Molecular and Optical Physics (DAMOP) from June 3-7, 2024, will feature presentations from Quantinuum’s physicists working on the world’s leading quantum computing hardware.
May 29, 2024
JPMorgan Chase, Argonne National Laboratory and Quantinuum Show Theoretical Quantum Speedup with the Quantum Approximate Optimization Algorithm
In a new paper in Science Advances on May 29, researchers at JPMorgan Chase, the U.S. Department of Energy’s (DOE) Argonne National Laboratory and Quantinuum have demonstrated clear evidence of a quantum algorithmic speedup for the quantum approximate optimization algorithm (QAOA).