Extending the HNLS Condition to Robust Quantum Metrology

• URL: http://arxiv.org/abs/2503.15743v1
• Date: Wed, 19 Mar 2025 23:15:41 GMT
• Title: Extending the HNLS Condition to Robust Quantum Metrology
• Authors: Oskar Novak, Narayanan Rengaswamy,
• Abstract summary: We develop a quantum sensing protocol to estimate a parameter $theta$, associated with a magnetic field, under full-rank Markovian noise.<n>We find that a nontrivial CSS code can achieve Heisenberg scaling if and only if the Hamiltonian is to the span of the noise channel's Lindblad operators.
• Score: 2.1485350418225244
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum sensing holds great promise for high-precision magnetic field measurements. However, its performance is significantly limited by noise. In this work, we develop a quantum sensing protocol to estimate a parameter $\theta$, associated with a magnetic field, under full-rank Markovian noise. Our approach uses a probe state constructed from a CSS code that evolves under the parameter's Hamiltonian for a short time, but without any active error correction. Then we measure the code's $\hat{X}$ stabilizers to infer $\theta$. Given $N$ copies of the probe state, we derive the probability that all stabilizer measurements return $+1$, which depends on $\theta$. The uncertainty in $\theta$ (estimated from these measurements) is bounded by a new quantity, the Robustness Bound, which characterizes how the structure of the quantum code affects the Quantum Fisher Information of the measurement. Using this bound, we establish a strong no-go result: a nontrivial CSS code can achieve Heisenberg scaling if and only if the Hamiltonian is orthogonal to the span of the noise channel's Lindblad operators. This result extends the well-known HNLS condition under infinite rounds of error correction to the robust quantum sensing setting that does not use active error correction. Our finding suggests fundamental limitations in the use of linear quantum codes for dephased magnetic field sensing applications both in the near-term robust sensing regime and in the long-term fault tolerant era.

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