Realizing Universal Non-Markovian Noise Suppression
Hongfeng Liu, Zizhao Han, Xinfang Nie, Zhenhuan Liu, Dawei Lu

TL;DR
This paper introduces a quantum noise suppression scheme for non-Markovian environments, demonstrating its theoretical effectiveness and experimental implementation using nuclear spins to significantly reduce error rates without prior noise calibration.
Contribution
The paper presents a noise suppression protocol that exponentially reduces non-Markovian errors without requiring noise calibration or specific noise models, validated through experimental nuclear spin implementation.
Findings
Exponential error reduction with ancillary system size
Successful suppression of non-Markovian noise in quantum operations
Experimental results align with theoretical predictions
Abstract
Non-Markovian noise, arising from environmental memory effects, is the most general and challenging form of noise in quantum computing, and is typically difficult to characterize and suppress. Here, we analyze and experimentally demonstrate a non-Markovian noise suppression scheme inspired by quantum purification protocols. We theoretically prove that, even without noise calibration and assumptions on specific noise models, the scheme can exponentially reduce non-Markovian error rates with respect to the ancillary system size. We implement the protocol using nuclear spins, demonstrating that non-Markovian noise can be suppressed for both unitary operations and non-unitary channels. The observed fidelities and process tomography show close agreement with theoretical predictions, confirming the practicality and effectiveness of the scheme.
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · stochastic dynamics and bifurcation
