Credit: A. Montanaro
Researchers from the University of Bristol and quantum start-up, Phasecraft, have advanced quantum computing research, bringing practical hybrid quantum-classical computing one step closer.
The team, led by Bristol researcher and Phasecraft co-founder, Dr. Ashley Montanaro, has discovered algorithms and analysis which significantly lessen the quantum hardware capability needed to solve problems which go beyond the realm of classical computing, even supercomputers.
In the paper, published in
Physical Review B, the team demonstrates how optimised quantum algorithms can solve instances of the notorious Fermi-Hubbard model on near-term hardware.
The Fermi-Hubbard model is of fundamental importance in condensed-matter physics as a model for strongly correlated materials and a route to understanding high-temperature superconductivity.
Cleo, the AI-powered ‘financial assistant’, raises $44M Series B led by EQT Ventures
Cleo, the London-founded “financial assistant” that takes the form of an app and chatbot and now counts the U.S. as its largest market, has raised $44 million in Series B funding.
Leading the round, which I understand actually closed earlier this year, is EQT Ventures. Also participating are existing investors Balderton Capital, LocalGlobe and SBI.
They join much earlier investors such as Entrepreneur First, Taavet Hinrikus, Matt Robinson, Errol Damelin, Niklas Zennström, Alex Chesterman and Ian Hogarth all well-known names in London’s tech investment community.
Researchers publish significant step toward quantum advantage phys.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from phys.org Daily Mail and Mail on Sunday newspapers.