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Main Authors: Camilo, Giancarlo, Maciel, Thiago O., Tosta, Allan, Alhajri, Abdulla, Silva, Thais de Lima, França, Daniel Stilck, Aolita, Leandro
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2508.20174
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author Camilo, Giancarlo
Maciel, Thiago O.
Tosta, Allan
Alhajri, Abdulla
Silva, Thais de Lima
França, Daniel Stilck
Aolita, Leandro
author_facet Camilo, Giancarlo
Maciel, Thiago O.
Tosta, Allan
Alhajri, Abdulla
Silva, Thais de Lima
França, Daniel Stilck
Aolita, Leandro
contents The potential of quantum computers to outperform classical ones in practically useful tasks remains challenging in the near term due to scaling limitations and high error rates of current quantum hardware. While quantum error correction (QEC) offers a clear path towards fault tolerance, overcoming the scalability issues will take time. Early applications will likely rely on QEC combined with quantum error mitigation (QEM). We introduce a QEM scheme against both compilation errors and logical-gate noise that is circuit-, QEC code-, and compiler-agnostic. The scheme builds on quasi-probability methods and uses information about the circuit's gates' compilations to attain an unbiased estimation of noiseless expectation values incurring a constant sample-complexity overhead. Moreover, it features maximal circuit size and code distance both independent of the target precision, in contrast to strategies based on QEC alone. We formulate the mitigation procedure as a linear program, demonstrate its efficacy through numerical simulations, and illustrate it for estimating the Jones polynomials of knots. Our method significantly reduces quantum resource requirements for high-precision estimations, offering a practical route towards fault-tolerant quantum computation with precision-independent overheads for fixed circuit complexity and code distance.
format Preprint
id arxiv_https___arxiv_org_abs_2508_20174
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Compilation-informed probabilistic logical-error cancellation
Camilo, Giancarlo
Maciel, Thiago O.
Tosta, Allan
Alhajri, Abdulla
Silva, Thais de Lima
França, Daniel Stilck
Aolita, Leandro
Quantum Physics
The potential of quantum computers to outperform classical ones in practically useful tasks remains challenging in the near term due to scaling limitations and high error rates of current quantum hardware. While quantum error correction (QEC) offers a clear path towards fault tolerance, overcoming the scalability issues will take time. Early applications will likely rely on QEC combined with quantum error mitigation (QEM). We introduce a QEM scheme against both compilation errors and logical-gate noise that is circuit-, QEC code-, and compiler-agnostic. The scheme builds on quasi-probability methods and uses information about the circuit's gates' compilations to attain an unbiased estimation of noiseless expectation values incurring a constant sample-complexity overhead. Moreover, it features maximal circuit size and code distance both independent of the target precision, in contrast to strategies based on QEC alone. We formulate the mitigation procedure as a linear program, demonstrate its efficacy through numerical simulations, and illustrate it for estimating the Jones polynomials of knots. Our method significantly reduces quantum resource requirements for high-precision estimations, offering a practical route towards fault-tolerant quantum computation with precision-independent overheads for fixed circuit complexity and code distance.
title Compilation-informed probabilistic logical-error cancellation
topic Quantum Physics
url https://arxiv.org/abs/2508.20174