Squeezing and measurement of a mechanical quadrature via PID feedback

Alberto Hijano, Tero T. Heikkilä

#1353 of 2274 · Quantum Physics
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Tournament Score
1383±30
10501750
36%
Win Rate
14
Wins
25
Losses
39
Matches
Rating
5.5/ 10
Significance
Rigor
Novelty
Clarity

Abstract

Proportional-Integral-Derivative (PID) control is used for automatically regulating a measurable quantity to a desired setpoint. It is widely used in different types of classical control electronics. Here, we show how extending the feedback theory in quantum systems to include the derivative and integral parts influences both the transient and steady-state behavior of the amplitude and squeezing of a mechanical quadrature in an optomechanical system. We show that, in contrast to standard proportional feedback, derivative feedback affects both the conditional and unconditional squeezing. Furthermore, we demonstrate how feedback may be employed to drive a mechanical quadrature to track a desired reference signal. Our findings offer new routes for an improved quantum state control and measurement precision.

AI Impact Assessments

(3 models)

Scientific Impact Assessment

Core Contribution

This paper extends the theory of measurement-based quantum feedback in optomechanical systems from proportional-only control to full PID (Proportional-Integral-Derivative) control. The authors analyze how each component of the PID controller—individually and in combination—affects both the conditional and unconditional squeezing of a mechanical quadrature, as well as the ability to drive a quadrature to track a reference signal. The key technical novelty lies in incorporating the derivative term within the SLH quantum stochastic framework, which requires a non-trivial modification of the coupling operators since the derivative of a stochastic process falls outside the standard formalism. The paper builds directly on the foundational work by Clerk, Marquardt, and Jacobs (2008) on back-action evasion and proportional feedback squeezing, and on Gough's (2020) quantum Kalman filter-based PID controller framework.

Methodological Rigor

The theoretical treatment is rigorous within its scope. The authors employ the SLH formalism consistently, derive the Belavkin-Kushner-Stratonovich (BKS) equations for the filtered estimates under PID feedback, and provide complete analytical expressions for both conditional and unconditional variances in the steady state [Eqs. (10-11)]. The treatment of the derivative feedback term—transferring it from the Hamiltonian to the coupling operators via Eq. (S.15-S.17)—is a technically careful maneuver that maintains consistency with the quantum stochastic calculus framework.

The analytical expressions are derived in the good-cavity limit (G, γ ≪ κ), which is well-motivated physically but does limit generality. The full dynamical equations are solved numerically, and code is made publicly available, supporting reproducibility. The supplemental material is thorough, providing all necessary equations.

However, several methodological limitations deserve mention. The paper assumes a phase-sensitive amplifier deep in the quantum limit that adds no appreciable noise—a strong idealization. There is no analysis of robustness to realistic imperfections such as detection inefficiency, classical noise in the feedback loop, or finite bandwidth of the PID controller. Additionally, the rotating-wave approximation is employed throughout without discussion of its validity regime for the feedback terms, particularly the derivative term which could have fast timescale components.

Key Findings

1. Derivative feedback affects both conditional and unconditional variances, unlike proportional feedback which only affects the unconditional variance. While αD increases conditional variance, it reduces excess noise, yielding net unconditional squeezing.

2. Integral feedback produces transient squeezing that vanishes in steady state (in the absence of a setpoint), because the integral of the autocorrelation σ vanishes asymptotically.

3. Combined PD feedback can achieve faster and enhanced squeezing compared to either action alone, though the effects are not independent—αD suppresses P-induced squeezing [Eq. (11)].

4. PI control is effective for driving a quadrature to a reference value, eliminating steady-state offset (a well-known property of integral action in classical control). The derivative action is counterproductive for setpoint tracking in this system.

5. Transfer function analysis [Eq. (12)] enables systematic PID tuning using classical control theory tools.

Potential Impact

The paper provides a conceptual bridge between classical PID control theory—one of the most widely deployed control strategies in engineering—and quantum feedback control. This is a natural and useful extension, though not deeply surprising. The practical impact depends critically on experimental realizability. As the authors note, measurement-based feedback squeezing has not yet been demonstrated experimentally, though ground-state feedback cooling has been achieved. The framework could be relevant to:

  • Ultra-sensitive force detection experiments (e.g., testing quantum gravity proposals)
  • Initialization of mechanical resonators for sensing experiments
  • Broader quantum control applications where transient response matters
  • The transfer function approach to tuning feedback parameters is practically useful and accessible to experimentalists familiar with classical control theory.

    Timeliness & Relevance

    The work is timely given recent experimental advances in measurement-based feedback cooling of mechanical oscillators (Rossi et al. 2018, Whittle et al. 2021, Rej et al. 2025). As these experiments mature toward feedback-induced squeezing, having a complete PID framework ready is valuable. The connection to force sensing and quantum gravity tests provides additional motivation.

    Strengths

  • Clean analytical results for steady-state variances with transparent physical interpretation
  • Complete treatment within a rigorous mathematical framework (SLH + quantum Kalman filtering)
  • Practical utility of transfer function analysis for PID parameter tuning
  • Open-source code for reproducibility
  • Clear identification of which PID components affect conditional vs. unconditional squeezing
  • Limitations

  • The system studied (single quadrature of a mechanical oscillator in an optomechanical cavity) is relatively specific; the paper does not demonstrate broader applicability to other quantum systems despite claiming generality
  • No analysis of realistic experimental imperfections (detection efficiency, feedback delay, noise in electronics)
  • The derivative feedback results, while technically interesting, show modest practical advantage when combined with proportional feedback
  • The integral action's vanishing steady-state effect limits its utility for squeezing
  • The paper lacks comparison with other quantum control strategies (e.g., optimal control, LQG controllers) that might outperform PID
  • The force-sensing application in the supplemental material is briefly treated and underdeveloped
  • Physical parameter choices are stated to be "within the range of typical optomechanical systems" but no specific experimental platform is targeted
  • Overall Assessment

    This is a solid theoretical contribution that systematically extends quantum feedback squeezing to PID control. The mathematical treatment is careful and complete, and the results are clearly presented. However, the conceptual advance is incremental—translating well-known classical PID properties to the quantum domain with relatively predictable outcomes. The impact would be significantly enhanced by analysis under realistic experimental conditions or by demonstration of qualitatively new phenomena unique to the quantum setting.

    Rating:5.5/ 10
    Significance 5Rigor 7Novelty 5Clarity 7.5

    Generated Apr 20, 2026

    Comparison History (39)

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