331 citations · 1.1k across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Entanglement in a quantum annealing processor
T. Lanting, A. J. Przybysz, A. Yu. Smirnov +23
Entanglement lies at the core of quantum algorithms designed to solve problems that are intractable by classical approaches. One such algorithm, quantum annealing (QA), provides a…