360 citations · 2.8k across the 47 of their papers we have counts for
3 papers · 2 filters
Scaling advantage in quantum simulation of geometrically frustrated magnets
Andrew D. King, Jack Raymond, Trevor Lanting +51
The promise of quantum computing lies in harnessing programmable quantum devices for practical applications such as efficient simulation of quantum materials and condensed matter s…
Quantum-Assisted Genetic Algorithm
James King, Masoud Mohseni, William Bernoudy +5
Genetic algorithms, which mimic evolutionary processes to solve optimization problems, can be enhanced by using powerful semi-local search algorithms as mutation operators. Here, w…
Demonstration of nonstoquastic Hamiltonian in coupled superconducting flux qubits
I. Ozfidan, C. Deng, A. Y. Smirnov +45
Quantum annealing (QA) is a heuristic algorithm for finding low-energy configurations of a system, with applications in optimization, machine learning, and quantum simulation. Up t…