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This research proposes importing fault-tolerant quantum computing protocols into sensing applications, specifically demonstrating how repetition codes can achieve Heisenberg scaling in noisy environments where classical methods fail. By addressing the restrictive conditions typically required for quantum advantage, the study offers a pathway to maintain high sensitivity despite phase-flip errors and system calibration issues. The work represents significant theoretical progress toward practical, robust quantum sensors that leverage error correction techniques previously reserved for computing architectures.
Fault-Tolerant Heisenberg-Limited Quantum Sensing
arXiv:2608.00171v1 Announce Type: new Abstract: Quantum sensors hold great promise for achieving better sensitivity in the measurement of physical quantities compared to their classical counterparts. However, the conditions under which quantum advantage in sensing can be achieved are rather restrictive, and most quantum enhancements in sensing are lost in the presence of noise, errors, or a poorly calibrated system. To overcome these limitations, we are motivated to import ideas from fault-tolerant quantum computing to quantum sensing. Specifically, we consider a qubit noise model where the probability of phase-flip errors is exponentially smaller (in qubit number) compared to the probability of bit-flip errors that occur with probability $p$. For this noise structure, we demonstrate that, given a total sensing time $T$, Heisenberg scaling can be attained for times up to $T\propto 1/p^{(N+1)/2}$ for a $N$-qubit repetition code, in contrast with $T\propto 1/p$ without using a fault-tolerant sensing protocol.
Abstract:Quantum sensors hold great promise for achieving better sensitivity in the measurement of physical quantities compared to their classical counterparts. However, the conditions under which quantum advantage in sensing can be achieved are rather restrictive, and most quantum enhancements in sensing are lost in the presence of noise, errors, or a poorly calibrated system. To overcome these limitations, we are motivated to import ideas from fault-tolerant quantum computing to quantum sensing. Specifically, we consider a qubit noise model where the probability of phase-flip errors is exponentially smaller (in qubit number) compared to the probability of bit-flip errors that occur with probability $p$. For this noise structure, we demonstrate that, given a total sensing time $T$, Heisenberg scaling can be attained for times up to $T\propto 1/p^{(N+1)/2}$ for a $N$-qubit repetition code, in contrast with $T\propto 1/p$ without using a fault-tolerant sensing protocol.
arXiv:2608.00171 [quant-ph]
(or arXiv:2608.00171v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.00171 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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