activity
20172024
most citedScaling advantage in quantum simulation of geometrically frustrated magnets

153 citations · 367 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2024★ 120 cited

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…

quant-ph2021★ 11 cited

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…

quant-ph2019★ 153 cited

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★ 66 cited

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…

cond-mat.supr-con2017★ 17 cited

Tuning a 3D Microwave Cavity via Superfluid Helium at MilliKelvin Temperatures

F. Souris, H. Christiani, J. P. Davis

Frequency tunability of 3D microwave cavities opens up numerous possibilities for their use in hybrid quantum systems and related technologies. For many applications it is desirabl…