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20172021
most citedNoise suppression via generalized-Markovian processes

24 citations · 24 across the 1 of their papers we have counts for

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quant-ph2021

Quantum-accelerated constraint programming

Kyle E. C. Booth, Bryan O'Gorman, Jeffrey Marshall +2

Constraint programming (CP) is a paradigm used to model and solve constraint satisfaction and combinatorial optimization problems. In CP, problems are modeled with constraints that…

quant-ph2020

Comparing relaxation mechanisms in quantum and classical transverse-field annealing

Tameem Albash, Jeffrey Marshall

Annealing schedule control provides new opportunities to better understand the manner and mechanisms by which putative quantum annealers operate. By appropriately modifying the ann…

quant-ph2020

Ferromagnetically shifting the power of pausing

Zoe Gonzalez Izquierdo, Shon Grabbe, Stuart Hadfield +3

We study the interplay between quantum annealing parameters in embedded problems, providing both deeper insights into the physics of these devices and pragmatic recommendations to…

quant-ph2020

Augmented fidelities for single qubit gates

Filip Wudarski, Jeffrey Marshall, Andre Petukhov +1

An average gate fidelity is a standard performance metric to quantify deviation between an ideal unitary gate transformation and its realistic experimental implementation. The aver…

quant-ph2020

Characterizing local noise in QAOA circuits

Jeffrey Marshall, Filip Wudarski, Stuart Hadfield +1

Recently Xue et al. [arXiv:1909.02196] demonstrated numerically that QAOA performance varies as a power law in the amount of noise under certain physical noise models. In this shor…

quant-ph2019

From Ansätze to Z-gates: a NASA View of Quantum Computing

Eleanor G. Rieffel, Stuart Hadfield, Tad Hogg +12

For the last few years, the NASA Quantum Artificial Intelligence Laboratory (QuAIL) has been performing research to assess the potential impact of quantum computers on challenging…