331 citations · 1.2k across the 14 of their papers we have counts for
12 papers · 1 filter
Quantum dynamics in frustrated Ising fullerenes
Alejandro Lopez-Bezanilla, William Bernoudy, Kelly Boothby +3
The complex energy landscapes exhibited by frustrated magnetic systems undergoing quantum fluctuations are a challenge to accurately simulate, and thus of great interest for testin…
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…
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…
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…
Hybrid quantum annealing for larger-than-QPU lattice-structured problems
Jack Raymond, Radomir Stevanovic, William Bernoudy +5
Quantum processing units (QPUs) executing annealing algorithms have shown promise in optimization and simulation applications. Hybrid algorithms are a natural bridge to additional…
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…
Simulating the Shastry-Sutherland Ising Model using Quantum Annealing
Paul Kairys, Andrew D. King, Isil Ozfidan +4
Frustration represents an essential feature in the behavior of magnetic materials when constraints on the microscopic Hamiltonian cannot be satisfied simultaneously. This gives ris…
Next-Generation Topology of D-Wave Quantum Processors
Kelly Boothby, Paul Bunyk, Jack Raymond +1
This paper presents an overview of the topology of D-Wave's next-generation quantum processors. It provides examples of minor embeddings and discusses performance of embedding algo…
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…
Observation of topological phenomena in a programmable lattice of 1,800 qubits
Andrew D. King, Juan Carrasquilla, Isil Ozfidan +20
The celebrated work of Berezinskii, Kosterlitz and Thouless in the 1970s revealed exotic phases of matter governed by topological properties of low-dimensional materials such as th…