Restoring Heisenberg-Limited Precision in Non-Markovian Open Quantum Systems via Dynamical Decoupling
Bakmou Lahcen, Ke Zeng, Yu Jiang, and Kok Chuan Tan

TL;DR
This paper demonstrates that Heisenberg-limited measurement precision can be restored in non-Markovian quantum systems using specially designed dynamical decoupling, overcoming environmental noise without assuming Markovian dynamics.
Contribution
It introduces a control-based method to recover Heisenberg scaling in non-Markovian environments, providing necessary and sufficient conditions for effective dynamical decoupling.
Findings
Heisenberg scaling can be achieved under non-Markovian noise.
Dynamical decoupling effectively mitigates memory effects in quantum systems.
Application to the damped Jaynes-Cummings model confirms the method's effectiveness.
Abstract
Non-classical resources enable measurements to achieve a precision that exceeds the limits predicted by the central limit theorem. However, environmental noise arising from system-environment interactions severely limits the performance of such resources through decoherence. While significant progress has been made in mitigating Markovian noise, the extent to which non-Markovian noise can be mitigated remains poorly understood. We demonstrate that Heisenberg Scaling, the ultimate quantum limit on measurement precision, can be recovered in quantum metrology under non-Markovian noise by leveraging carefully designed Dynamical Decoupling Techniques. Importantly, our approach does not rely on assumptions of Markovian dynamics. By imposing appropriate conditions on the control Hamiltonian, we show that HS can be achieved irrespective of whether the noise is Markovian or non-Markovian. We…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
