Quantum Sensing of Non-Repeatable Events Enhanced by In-Sensor Quantum Reservoir Computing

• URL: http://arxiv.org/abs/2609.06292v1
• Date: Sat, 05 Sep 2026 23:03:47 GMT
• Title: Quantum Sensing of Non-Repeatable Events Enhanced by In-Sensor Quantum Reservoir Computing
• Abstract summary: We propose in-sensor quantum reservoir computing (NV-QRC) for non-repeatable events.<n>For binary phase classification, we benchmark NV-QRC against DD magnetometry using a single pulse sequence fixed in advance.<n>These results identify non-repeatable-event sensing as a promising application of quantum reservoir computing.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: High-density nitrogen-vacancy (NV) ensembles in diamond enable sensitive magnetometry. Many quantum-sensing protocols rely on reproducible target fields, allowing repeated measurements under different sensing conditions. In dynamical decoupling (DD) magnetometry, sweeping the interval between $π$ pulses across repeated measurements enables estimation of the frequency and amplitude of an unknown alternating field. For non-repeatable events, however, the same field waveform cannot be reproduced for measurements under different settings. Here we propose NV-based in-sensor quantum reservoir computing (NV-QRC) for sensing such events. Field-driven many-body dynamics and simultaneous fluorescence readout from multiple spatial regions provide a classical classifier with multiple features from a single event. For binary phase classification, we benchmark NV-QRC against DD magnetometry using a single pulse sequence fixed in advance. We show that NV-QRC can retain class-dependent information in regimes where the fixed-DD protocol fails to capture it. These results identify non-repeatable-event sensing as a promising application of quantum reservoir computing.

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