Krylov Diagonalization of Large Many-Body Hamiltonians on a Quantum Processor

Krylov diagonalization of large many-body Hamiltonians on a quantum processor

The estimation of low energies of many-body systems is a cornerstone of the computational quantum sciences. Variational quantum algorithms can be used to prepare ground states on pre-fault-tolerant quantum processors, but their lack of convergence guarantees and impractical number of cost function estimations prevent systematic scaling of experiments to large systems. Alternatives to variational approaches are needed for large-scale experiments …

TRIUMF, Perimeter Institute, and D-Wave Collaborate on Quantum-AI for Particle Physics Simulation - Quantum Computing Report

Scientists led by TRIUMF and the Perimeter Institute for Theoretical Physics, in collaboration with D-Wave Quantum Inc., have published research in npj Quantum Information. This research combines

Canadian Scientists Pioneer Made-in-Canada Quantum-powered AI Solution

Researchers from TRIUMF and Perimeter Institute has developed a quantum-assisted AI model to simulate particle collisions more efficiently.

Canadian Scientists Use D-Wave in Quantum-AI Simulations

A team of scientists from Canadian particle accelerator center TRIUMF and the Perimeter Institute for Theoretical Physics have unveiled a "transformative research that merges quantum techniques with advanced AI ...." The post Canadian Scientists Use D-Wave in Quantum-AI Simulations appeared first on Inside HPC & AI News | High-Performance Computing & Artificial Intelligence.