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Updated: May 15, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Multiparameter quantum-enhanced adaptive metrology with squeezed light.

Giorgio Minati1, Enrico Urbani1, Nicolò Spagnolo1

  • 1Dipartimento di Fisica, Sapienza Università di Roma, Roma, Italy.

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|May 13, 2026
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Summary
This summary is machine-generated.

This study introduces an adaptive quantum sensing strategy for precise phase estimation using squeezed light. The novel method self-calibrates, ensuring optimal performance without prior knowledge of squeezing levels, enhancing robustness in real-world applications.

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Area of Science:

  • Quantum optics
  • Quantum metrology
  • Quantum information science

Background:

  • Squeezed light enhances phase estimation precision beyond the standard quantum limit.
  • Existing protocols often require pre-calibrated squeezing levels, making them vulnerable to experimental fluctuations and drifts.
  • Optimal quantum-enhanced sensing demands robustness against parameter variations and calibration errors.

Purpose of the Study:

  • To develop an adaptive multiparameter estimation strategy for ab-initio phase estimation.
  • To achieve sub-shot-noise-limited precision across the full phase periodicity interval [0, π).
  • To create a self-calibrating quantum sensing framework resilient to experimental instabilities.

Main Methods:

  • Implemented an adaptive estimation strategy utilizing real-time feedback.
  • Jointly estimated both the optical phase and the squeezing level of the probe state.
  • Developed a method that does not require prior knowledge of the squeezing parameter.

Main Results:

  • Achieved sub-shot-noise limit precision for phase estimation in the interval [0, π).
  • Demonstrated robustness against experimental drifts and calibration errors through self-calibration.
  • Validated an adaptive approach for quantum-enhanced sensing with squeezed light.

Conclusions:

  • The developed adaptive strategy provides a reliable quantum-enhanced sensing framework.
  • This self-calibrating scheme overcomes limitations of pre-calibrated protocols, enhancing practical applicability.
  • Opens new avenues for scalable distributed sensor networks and advanced quantum technologies.