Variational quantum state preparation for quantum-enhanced metrology in noisy systems

• URL: http://arxiv.org/abs/2406.01859v2
• Date: Wed, 24 Jul 2024 23:49:33 GMT
• Title: Variational quantum state preparation for quantum-enhanced metrology in noisy systems
• Authors: Juan C. Zuñiga Castro, Jeffrey Larson, Sri Hari Krishna Narayanan, Victor E. Colussi, Michael A. Perlin, Robert J. Lewis-Swan,
• Abstract summary: We simulate a low-depth variational quantum circuit (VQC) composed of a sequence of global rotations and entangling operations applied to a chain of qubits subject to dephasing noise. We find that regardless of the details of the entangling operation implemented in the VQC, the optimal quantum states can be broadly classified into a trio of qualitative regimes. Our findings are relevant for designing optimal state-preparation strategies for next-generation quantum sensors exploiting entanglement.
• Score: 0.7652747219811168
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We investigate optimized quantum state preparation for quantum metrology applications in noisy environments. Using the QFI-Opt package, we simulate a low-depth variational quantum circuit (VQC) composed of a sequence of global rotations and entangling operations applied to a chain of qubits that are subject to dephasing noise. The parameters controlling the VQC are numerically optimized to maximize the quantum Fisher information, which characterizes the ultimate metrological sensitivity of a quantum state with respect to a global rotation. We find that regardless of the details of the entangling operation implemented in the VQC, the optimal quantum states can be broadly classified into a trio of qualitative regimes--cat-like, squeezed-like, and product states--associated with different dephasing rates. Our findings are relevant for designing optimal state-preparation strategies for next-generation quantum sensors exploiting entanglement, such as time and frequency standards and magnetometers, aimed at achieving state-of-the-art performance in the presence of noise and decoherence.

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