On the Noise Resilience of Quantum Algorithms
ORAL
Abstract
Quantum systems are particularly sensitive to noise, which typically negates all potential quantum advantages in computing or sensing. Thus, noise resilience is crucial to potential demonstrations of useful quantum advantages.
Current quantum computers have advanced enough that they can implement operations in many different ways. This raises the problem of identifying the best implementation of a quantum operation. The most common and intuitive approach is to consider the ones with the shortest runtime or minimum circuit complexity. I will present an alternative approach that aims for noise-resilient algorithm implementations. To do so, I introduce a general and simple framework to characterize a quantum system’s resilience to noise. Perhaps counter to intuition, the protocols with the shortest runtimes are not always the most resilient.
Current quantum computers have advanced enough that they can implement operations in many different ways. This raises the problem of identifying the best implementation of a quantum operation. The most common and intuitive approach is to consider the ones with the shortest runtime or minimum circuit complexity. I will present an alternative approach that aims for noise-resilient algorithm implementations. To do so, I introduce a general and simple framework to characterize a quantum system’s resilience to noise. Perhaps counter to intuition, the protocols with the shortest runtimes are not always the most resilient.
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Publication: https://arxiv.org/abs/2408.02764
Presenters
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Luis Pedro P Garcia-Pintos
Los Alamos National Laboratory (LANL)
Authors
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Luis Pedro P Garcia-Pintos
Los Alamos National Laboratory (LANL)
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Tanmoy Biswas
Los Alamos National Laboratory
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Tom O'Leary
Oxford University
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Jacob A Bringewatt
NIST / University of Maryland, College Park / Harvard University, Harvard University, University of Maryland College Park
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Lucas Tyler Brady
NASA Ames Research Center
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Lukasz Cincio
Los Alamos National Laboratory (LANL)
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Yi-Kai Liu
National Institute of Standards and Technology (NIST)