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Autores principales: McGeoch, Catherine C., Chern, Kevin, Farré, Pau, King, Andrew K.
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2406.19351
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author McGeoch, Catherine C.
Chern, Kevin
Farré, Pau
King, Andrew K.
author_facet McGeoch, Catherine C.
Chern, Kevin
Farré, Pau
King, Andrew K.
contents Recent work [Sachdeva et al.] presented an iterative hybrid quantum variational optimization algorithm designed by Q-CTRL and executed on IBM gate-based quantum processing units (QPUs), claiming a significant performance advantage against a D-Wave quantum annealer. Here we point out major methodological problems with this comparison. Using a simple unoptimized workflow for quantum annealing, we show success probabilities multiple orders of magnitude higher than those reported by [Sachdeva et al.]. These results, which can be reproduced using open-source code and free trial access to a D-Wave quantum annealer, contradict Q-CTRL's claims of superior performance. We also provide a direct comparison between quantum annealing and a recent demonstration of digitized quantum annealing on an IBM processor, showing that analog quantum annealing on a D-Wave QPU reaches far lower energies than digitized quantum annealing on an IBM QPU.
format Preprint
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publishDate 2024
record_format arxiv
spellingShingle A comment on comparing optimization on D-Wave and IBM quantum processors
McGeoch, Catherine C.
Chern, Kevin
Farré, Pau
King, Andrew K.
Quantum Physics
Recent work [Sachdeva et al.] presented an iterative hybrid quantum variational optimization algorithm designed by Q-CTRL and executed on IBM gate-based quantum processing units (QPUs), claiming a significant performance advantage against a D-Wave quantum annealer. Here we point out major methodological problems with this comparison. Using a simple unoptimized workflow for quantum annealing, we show success probabilities multiple orders of magnitude higher than those reported by [Sachdeva et al.]. These results, which can be reproduced using open-source code and free trial access to a D-Wave quantum annealer, contradict Q-CTRL's claims of superior performance. We also provide a direct comparison between quantum annealing and a recent demonstration of digitized quantum annealing on an IBM processor, showing that analog quantum annealing on a D-Wave QPU reaches far lower energies than digitized quantum annealing on an IBM QPU.
title A comment on comparing optimization on D-Wave and IBM quantum processors
topic Quantum Physics
url https://arxiv.org/abs/2406.19351