40 citations · 40 across the 1 of their papers we have counts for
3 papers
quant-ph2019
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…
quant-ph2019
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…
quant-ph2017★ 40 cited
Experimental demonstration of perturbative anticrossing mitigation using non-uniform driver Hamiltonians
Trevor Lanting, Andrew D. King, Bram Evert +1
Perturbative anticrossings have long been identified as a potential computational bottleneck for quantum annealing. This bottleneck can appear, for example, when a uniform transver…