Multiparameter quantum-enhanced adaptive metrology with squeezed light
- URL: http://arxiv.org/abs/2510.14739v1
- Date: Thu, 16 Oct 2025 14:41:12 GMT
- Title: Multiparameter quantum-enhanced adaptive metrology with squeezed light
- Authors: Giorgio Minati, Enrico Urbani, Nicolò Spagnolo, Valeria Cimini, Fabio Sciarrino,
- Abstract summary: We develop an adaptive multi parameter estimation strategy for ab-initio phase estimation.<n>We employ real-time feedback to jointly estimate both the optical phase and the squeezing level.<n>This self-calibrating scheme establishes a reliable quantum-enhanced sensing framework.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Squeezed light enables quantum-enhanced phase estimation, with crucial applications in both fundamental physics and emerging technologies. To fully exploit the advantage provided by this approach, estimation protocols must remain optimal across the entire parameter range and resilient to instabilities in the probe state. In this context, strategies that rely on pre-calibrated squeezing levels are vulnerable to degradation over time and become sub-optimal when experimental conditions fluctuate. Here, we develop an adaptive multiparameter estimation strategy for ab-initio phase estimation, achieving sub-standard quantum limit precision in the full periodicity interval $[0,\pi)$, without relying on prior knowledge of the squeezing parameter. Our approach employs real-time feedback to jointly estimate both the optical phase and the squeezing level, ensuring robustness against experimental drifts and calibration errors. This self-calibrating scheme establishes a reliable quantum-enhanced sensing framework, opening new routes for practical scenarios and scalable distributed sensor networks using squeezed light.
Related papers
- Continual Quantum Architecture Search with Tensor-Train Encoding: Theory and Applications to Signal Processing [68.35481158940401]
CL-QAS is a continual quantum architecture search framework.<n>It mitigates challenges of costly encoding amplitude and forgetting in variational quantum circuits.<n>It achieves controllable robustness expressivity, sample-efficient generalization, and smooth convergence without barren plateaus.
arXiv Detail & Related papers (2026-01-10T02:36:03Z) - Exploration in the Limit [37.0278529107694]
We introduce a relaxed formulation that requires valid error control with respect to a minimum sample size.<n>This aligns with many real-world settings that often involve weak signals, high desired significance, and post-experiment inference requirements.<n>We develop a novel, anytime-valid confidence sequences over arm indices, and we use it to design a new BAI algorithm for our framework.
arXiv Detail & Related papers (2025-12-31T19:27:59Z) - Estimating ground-state properties in quantum simulators with global control [35.3616472951301]
Accurately determining ground-state properties of quantum many-body systems remains one of the major challenges of quantum simulation.<n>We present a protocol for estimating the ground-state energy using only global time evolution under a target Hamiltonian.
arXiv Detail & Related papers (2025-11-06T15:08:00Z) - Low Cost Bayesian Experimental Design for Quantum Frequency Estimation with Decoherence [45.74830585715129]
We introduce WES: a Window Expansion Strategy for low cost adaptive Bayesian experimental design.<n>We employ empirical cost-reduction techniques to keep the optimization overhead low, curb scaling problems, and enable high degrees of parallelism.<n> Numerical simulations show that WES delivers the most reliable performance and fastest learning rate, saturating the Heisenberg limit.
arXiv Detail & Related papers (2025-08-09T23:41:58Z) - Adaptive Bayesian Single-Shot Quantum Sensing [35.355128149649666]
In variational quantum sensing, a probe quantum system is generated via a parameterized quantum circuit.<n>This paper introduces an adaptive protocol that uses Bayesian inference to optimize the active information gain.
arXiv Detail & Related papers (2025-07-22T11:35:27Z) - Quantum sensing of displacements with stabilized GKP states [41.94295877935867]
We show how protocols for the stabilization of Gottesman-Kitaev-Preskill states can be used for the estimation of two-quadrature displacement sensing.<n>Thanks to the stabilization, this sensor is backaction evading and can function continuously without reset, making it well suited for the detection of itinerant signals.
arXiv Detail & Related papers (2025-06-25T17:18:50Z) - Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference [39.72602887300498]
Current variational quantum sensing methods lack rigorous performance guarantees.<n>This paper proposes an online control framework for VQS that dynamically updates the variational parameters while providing deterministic error bars on the estimates.<n> Experiments on a quantum magnetometry task confirm that the proposed dynamic VQS approach maintains the required reliability over time, while still yielding precise estimates.
arXiv Detail & Related papers (2025-05-29T12:19:07Z) - Bayesian Quantum Amplitude Estimation [46.03321798937855]
We present BAE, a problem-tailored and noise-aware Bayesian algorithm for quantum amplitude estimation.<n>In a fault tolerant scenario, BAE is capable of saturating the Heisenberg limit; if device noise is present, BAE can dynamically characterize it and self-adapt.<n>We propose a benchmark for amplitude estimation algorithms and use it to test BAE against other approaches.
arXiv Detail & Related papers (2024-12-05T18:09:41Z) - Substantial precision enhancements via adaptive symmetry-informed Bayesian metrology [2.477017847456471]
In-depth optimisation of measurement procedures beyond phase estimation has been overlooked.<n>We present a systematic strategy for parameter estimation that can be applied across a wide range of experimental platforms.<n>We demonstrate the power of this strategy by applying it to atom number estimation in a quantum technology experiment.
arXiv Detail & Related papers (2024-10-14T15:20:13Z) - Optimal Low-Depth Quantum Signal-Processing Phase Estimation [0.029541734875307393]
Quantum effects like entanglement can be used to drastically enhance the accuracy of quantum parameter estimation beyond classical limits.<n>We introduce Quantum Signal-Processing Phase Estimation algorithms that are robust against these challenges.<n>Our approach achieves a standard deviation accuracy of $10-4$ radians for estimating unwanted swap angles in superconducting two-qubit experiments.
arXiv Detail & Related papers (2024-06-17T10:33:52Z) - Adaptive Phase Estimation with Squeezed Vacuum Approaching the Quantum Limit [0.0]
Phase estimation plays a central role in communications, sensing, and information processing.
Quantum correlated states, such as squeezed states, enable phase estimation beyond the shot-noise limit.
Physical realizations of optimal quantum measurements for optical phase estimation with quantum-correlated states are still unknown.
arXiv Detail & Related papers (2023-12-12T19:27:04Z) - Real-time adaptive estimation of decoherence timescales for a single
qubit [2.6938732235832044]
Characterising the time over which quantum coherence survives is critical for any implementation of quantum bits, memories and sensors.
We present an adaptive multi- parameter approach, based on a simple analytical update rule, to estimate the key decoherence in real time.
A further speed-up of a factor $sim 2$ can be realised by performing our optimisation with respect to sensitivity as opposed to variance.
arXiv Detail & Related papers (2022-10-12T11:28:23Z) - Fast Quantum Calibration using Bayesian Optimization with State
Parameter Estimator for Non-Markovian Environment [11.710177724383954]
We propose a real-time optimal estimator of qubit states, which utilizes weak measurements and Bayesian optimization to find the optimal control pulses for gate design.
Our numerical results demonstrate a significant reduction in the calibration process, obtaining a high gate fidelity.
arXiv Detail & Related papers (2022-05-25T17:31:15Z) - Optimal non-classical correlations of light with a levitated nano-sphere [34.82692226532414]
Nonclassical correlations provide a resource for many applications in quantum technology.
Optomechanical systems can generate nonclassical correlations between the mechanical mode and a mode of travelling light.
We propose automated optimization of the production of quantum correlations in such a system.
arXiv Detail & Related papers (2020-06-26T15:27:47Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.