aiqbench analysis
This research identifies an optimal "information window" for probing non-Markovian environmental noise in quantum systems by matching control timescales with the noise correlation time. The study demonstrates that coherent, noncommuting operations maximize sensitivity to finite-memory effects, offering a practical principle for characterizing decoherence dynamics without relying on idealized Markovian assumptions. These findings are critical for advancing error mitigation strategies and improving the fidelity of quantum gates in realistic noisy environments.
A memory-information window in finite-duration quantum control
arXiv:2609.21380v1 Announce Type: new Abstract: Environmental noise is a major source of decoherence and errors in quantum systems. In a non-Markovian environment, the noise has a finite correlation time, and the system can retain information about its previous interactions with the environment. Here, we investigate how such environmental memory can be observed through a finite-duration coherent quantum operation. Coherent control dynamically reshapes the stochastic coupling operator and thereby changes how two-time noise correlations affect the quantum process. For Ornstein-Uhlenbeck noise, we show analytically that two different limits reduce the information on the correlation time. In the short-memory limit, the leading dynamics depend on the integrated-noise combination {\sigma}/{\tau}c, where {\sigma} is the noise variance and {\tau}c is the correlation time, making these parameters locally degenerate. In the long-memory limit, the stochastic field becomes quasi-static during the operation, and sensitivity to the correlation time is suppressed. Exact stochastic simulations for a driven single-qubit X{\pi} rotation and a two-qubit exchange gate show that independent correlation-time information becomes largest between these limits, when the environmental and control timescales are comparable. Noncommuting controls enhance this information, whereas commuting controls do not. Simulations at different gate durations tg further show that the information window approximately follows the dimensionless correlation ratio {\tau}c/tg. These results provide a timescale-matching principle for probing finite-correlation non-Markovian noise with coherent quantum control.
Abstract:Environmental noise is a major source of decoherence and errors in quantum systems. In a non-Markovian environment, the noise has a finite correlation time, and the system can retain information about its previous interactions with the environment. Here, we investigate how such environmental memory can be observed through a finite-duration coherent quantum operation. Coherent control dynamically reshapes the stochastic coupling operator and thereby changes how two-time noise correlations affect the quantum process. For Ornstein-Uhlenbeck noise, we show analytically that two different limits reduce the information on the correlation time. In the short-memory limit, the leading dynamics depend on the integrated-noise combination {\sigma}/{\tau}c, where {\sigma} is the noise variance and {\tau}c is the correlation time, making these parameters locally degenerate. In the long-memory limit, the stochastic field becomes quasi-static during the operation, and sensitivity to the correlation time is suppressed. Exact stochastic simulations for a driven single-qubit X{\pi} rotation and a two-qubit exchange gate show that independent correlation-time information becomes largest between these limits, when the environmental and control timescales are comparable. Noncommuting controls enhance this information, whereas commuting controls do not. Simulations at different gate durations tg further show that the information window approximately follows the dimensionless correlation ratio {\tau}c/tg. These results provide a timescale-matching principle for probing finite-correlation non-Markovian noise with coherent quantum control.
arXiv:2609.21380 [quant-ph]
(or arXiv:2609.21380v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.21380 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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