Scholarlink

<p>Quantum sensing offers precision advantages, but Markovian decoherence limits achievable performance to finite-resource improvements. We propose an adaptive hybrid quantum sensing model (HQSM) that integrates noise-compatible quantum error correction (QEC), syndrome-conditioned Bayesian inference, and adaptive control within a closed-loop framework. We derive a rate-optimal interrogation strategy that maximizes the effective quantum Fisher information (QFI) and introduce a syndrome-conditioned Cramér-Rao bound, showing that conditioning on error syndromes reduces estimation variance without bias. While the underlying convexity relation is known, its integration into adaptive feedback constitutes the key contribution. Simulations based on Lindblad dynamics indicate consistent constant-factor improvements while preserving standard quantum limit (SQL) scaling. HQSM provides a practical and physically consistent approach to quantum sensing under noise conditions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Adaptive error-mitigated quantum sensing with syndrome-conditioned Bayesian estimation

  • 期刊论文

  • 发表日期：

    2026年6月29日

查看全文
  • Vikram Singh Thakur,
  • Atul Kumar

摘要

Quantum sensing offers precision advantages, but Markovian decoherence limits achievable performance to finite-resource improvements. We propose an adaptive hybrid quantum sensing model (HQSM) that integrates noise-compatible quantum error correction (QEC), syndrome-conditioned Bayesian inference, and adaptive control within a closed-loop framework. We derive a rate-optimal interrogation strategy that maximizes the effective quantum Fisher information (QFI) and introduce a syndrome-conditioned Cramér-Rao bound, showing that conditioning on error syndromes reduces estimation variance without bias. While the underlying convexity relation is known, its integration into adaptive feedback constitutes the key contribution. Simulations based on Lindblad dynamics indicate consistent constant-factor improvements while preserving standard quantum limit (SQL) scaling. HQSM provides a practical and physically consistent approach to quantum sensing under noise conditions.