249 citations · 600 across the 6 of their papers we have counts for
6 papers
Beyond-classical computation in quantum simulation
Andrew D. King, Alberto Nocera, Marek M. Rams +60
Quantum computers hold the promise of solving certain problems that lie beyond the reach of conventional computers. However, establishing this capability, especially for impactful…
Quantum error mitigation in quantum annealing
Mohammad H. Amin, Andrew D. King, Jack Raymond +32
Quantum Error Mitigation (QEM) presents a promising near-term approach to reduce error when estimating expectation values in quantum computing. Here, we introduce QEM techniques ta…
Quantum critical dynamics in a 5000-qubit programmable spin glass
Andrew D. King, Jack Raymond, Trevor Lanting +24
Experiments on disordered alloys suggest that spin glasses can be brought into low-energy states faster by annealing quantum fluctuations than by conventional thermal annealing. Du…
Architectural considerations in the design of a third-generation superconducting quantum annealing processor
Kelly Boothby, Colin Enderud, Trevor Lanting +46
Early generations of superconducting quantum annealing processors have provided a valuable platform for studying the performance of a scalable quantum computing technology. These s…
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…
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…