Empirical optimization of dynamical decoupling on quantum processors
ORAL
Abstract
Dynamical decoupling (DD) is an effective way to suppress quantum computation errors with a low resource overhead. Here, we employ a combinatorial optimization scheme to empirically discover device-tailored DD sequences. We test our method on various quantum algorithms and show that our empirically optimized DD sequences significantly outperform theoretically-derived DD sequences.
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Presenters
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Christopher Tong
Massachusetts Institute of Technology
Authors
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Christopher Tong
Massachusetts Institute of Technology
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Helena Zhang
IBM Quantum, IBM Thomas J. Watson Research Center
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Bibek B Pokharel
IBM Quantum, Almaden Research Center