331 citations · 1.5k across the 23 of their papers we have counts for
24 papers
Multi-objective optimization by quantum annealing
Andrew D. King
An important task in multi-objective optimization is generating the Pareto front -- the set of all Pareto-optimal compromises among multiple objective functions applied to the same…
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 Quench Dynamics of Geometrically Frustrated Ising Models
Ammar Ali, Hanjing Xu, William Bernoudy +3
Geometric frustration in two-dimensional Ising models allows for a wealth of exotic universal behavior, both Ising and non-Ising, in the presence of quantum fluctuations. In partic…
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…
Tutorial: Calibration refinement in quantum annealing
Kevin Chern, Kelly Boothby, Jack Raymond +2
Quantum annealing has emerged as a powerful platform for simulating and optimizing classical and quantum Ising models. Quantum annealers, like other quantum and/or analog computing…
Kagome qubit ice
Alejandro Lopez-Bezanilla, Jack Raymond, Kelly Boothby +3
Topological phases of spin liquids with constrained disorder can host a kinetics of fractionalized excitations. However, spin-liquid phases with distinct kinetic regimes have prove…