Optimal Quantum Purity Amplification: A Top-Down Approach to Error Suppression via Symmetry and Reversibility

Quantum purity amplification (QPA) provides a novel approach to counteracting the pervasive noise that degrades quantum states. We present the optimal QPA protocol for general quantum systems and global noise, resolving a two-decade open problem. Under strong depolarization, our protocol achieves an exponential reduction in sample complexity over the best-known methods. We provide an efficient implementation of the protocol based on generalized quantum phase estimation. Additionally, we introduce SWAPNET, a sparse and shallow circuit that enables QPA for near-term experiments. Simulations in both digital and analog quantum settings, along with experiments on superconducting quantum processors, confirm the protocol's robustness and practical utility. Our findings suggest that QPA could improve the performance of quantum information processing tasks, particularly in the context of Noisy Intermediate-Scale Quantum (NISQ) devices, where reducing the effect of noise with limited resources is critical.

Authors

Publication Details

Journal
PRX Quantum
Published
2026-11-02
DOI
https://doi.org/10.1103/xk9x-3741
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal Quantum Purity Amplification: A Top-Down Approach to Error Suppression via Symmetry and Reversibility

Takuya Isogawa, Zhaoyi Li, Honghao Fu, Isaac L. Chuang
1 citations
PRX Quantum
Quantum Computing Algorithms and Architecture
article

Optimal Quantum Purity Amplification: A Top-Down Approach to Error Suppression via Symmetry and Reversibility

Takuya Isogawa, Zhaoyi Li, Honghao Fu, Isaac L. Chuang
article en
1 citations

Abstract

Quantum purity amplification (QPA) provides a novel approach to counteracting the pervasive noise that degrades quantum states. We present the optimal QPA protocol for general quantum systems and global noise, resolving a two-decade open problem. Under strong depolarization, our protocol achieves an exponential reduction in sample complexity over the best-known methods. We provide an efficient implementation of the protocol based on generalized quantum phase estimation. Additionally, we introduce SWAPNET, a sparse and shallow circuit that enables QPA for near-term experiments. Simulations in both digital and analog quantum settings, along with experiments on superconducting quantum processors, confirm the protocol's robustness and practical utility. Our findings suggest that QPA could improve the performance of quantum information processing tasks, particularly in the context of Noisy Intermediate-Scale Quantum (NISQ) devices, where reducing the effect of noise with limited resources is critical.

PRX Quantum
National Science Foundation, U.S. Department of Energy, Office of Science
Openalex Percentile: Top 100%
Quantum Computing Algorithms and Architecture
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