Efficient evaluation of fundamental sensitivity limits and full counting statistics for continuously monitored Gaussian quantum systems
- URL: http://arxiv.org/abs/2602.23304v1
- Date: Thu, 26 Feb 2026 18:09:46 GMT
- Title: Efficient evaluation of fundamental sensitivity limits and full counting statistics for continuously monitored Gaussian quantum systems
- Authors: Francesco Albarelli, Marco G. Genoni,
- Abstract summary: Generalized master equations (GMEs) are convenient tools to compute properties of an open or continuously monitored quantum system.<n>A two-sided master equation yields the fidelity and quantum Fisher information (QFI) of environment states.<n> Tilted master equations provide the full counting statistics of quantum jumps and diffusive measurements.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Generalized master equations (GMEs) -- time-local but generally neither trace-preserving nor Hermiticity-preserving -- are convenient tools to compute properties of the environment of an open or continuously monitored quantum system. A two-sided master equation yields the fidelity and quantum Fisher information (QFI) of environment states, thereby setting fundamental limits for hypothesis testing and parameter estimation under continuous monitoring. For unmonitored noise or inefficient detection, the QFI of the detectable part of the environment may be obtained from a recently derived GME acting on multiple system replicas. Tilted master equations provide the full counting statistics of quantum jumps and diffusive measurements, enabling, e.g., studies of quantum thermodynamics beyond average values. Here we focus on bosonic linear systems, governed by a quadratic Hamiltonian and linear jump operators, whose dynamics preserves Gaussianity. For Gaussian initial states, we recast a generic GME as a compact set of ordinary differential equations for the covariance matrix (a Riccati-type equation), first moments, and normalization. These equations can be integrated efficiently without Hilbert-space truncation, and admit analytical results in simple settings. We also provide specialized forms for fidelity/QFI and full counting statistics. We illustrate the formalism with a continuously monitored optical parametric oscillator, using it to determine sensitivity limits for frequency estimation and to benchmark Hasegawa's thermodynamic uncertainty relations.
Related papers
- Quantum regression theorem in the Unruh-DeWitt battery [0.0]
We analytically study the correlation functions of an Unruh-DeWitt detector.<n>The detector absorbs charges from an external classical coherent pulse.<n>We analyse the phenomenon of spontaneous emission and show how the acceleration can enhance the associated dissipation.
arXiv Detail & Related papers (2026-03-02T12:31:05Z) - Chaos, Entanglement and Measurement: Field-Theoretic Perspectives on Quantum Information Dynamics [0.0]
I study scrambling and pseudorandomness in the Brownian Sachdev-Ye-Kitaev (SYK) model.<n>I construct a field theory for weakly measured SYK clusters.<n>I develop a strong-disorder renormalization group for measurement-only SYK clusters.
arXiv Detail & Related papers (2025-12-11T10:04:30Z) - Quantum Regression Theory and Efficient Computation of Response Functions for Non-Markovian Open Systems [6.8865259790065005]
We develop a memoryless, system-only formulation of two-point correlations for open quantum systems.<n>We recast the total response function into evolutions generated by time-dependent Hamiltonian and Lindblad primitives.<n>We present quantum algorithms for these primitives and obtain an estimator for two-time correlations whose cost scales poly-logarithmically.
arXiv Detail & Related papers (2025-10-07T00:23:33Z) - Computable measures of non-Markovianity for Gaussian free fermion systems [0.0]
We investigate measures of non-Markovianity in open quantum systems governed by free fermionic dynamics.<n>For Gaussian states, trace-based distances -- specifically the Hilbert-Schmidt norm -- and second-order R'enyi mutual information can be efficiently expressed.
arXiv Detail & Related papers (2025-09-30T08:47:20Z) - 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) - Calibration of Quantum Devices via Robust Statistical Methods [45.464983015777314]
We numerically analyze advanced statistical methods for Bayesian inference against the state-of-the-art in quantum parameter learning.<n>We show advantages of these approaches over existing ones, namely under multi-modality and high dimensionality.<n>Our findings have applications in challenging quantumcharacterization tasks namely learning the dynamics of open quantum systems.
arXiv Detail & Related papers (2025-07-09T15:22:17Z) - Exact non-Markovian master equations: a generalized derivation for Gaussian systems [0.764671395172401]
We derive an exact master equation that captures the dynamics of a quadratic quantum system linearly coupled to a Gaussian environment of the same statistics.<n>Our formulation applies universally to both bosonic and fermionic setups.<n>We show by applying it to an open system based on two fermions coupled via superconductive pairing.
arXiv Detail & Related papers (2025-02-20T08:42:09Z) - Quantum Simulation of Nonlinear Dynamical Systems Using Repeated Measurement [42.896772730859645]
We present a quantum algorithm based on repeated measurement to solve initial-value problems for nonlinear ordinary differential equations.
We apply this approach to the classic logistic and Lorenz systems in both integrable and chaotic regimes.
arXiv Detail & Related papers (2024-10-04T18:06:12Z) - NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizer [45.47667026025716]
We propose a novel, robust and accelerated iteration that relies on two key elements.
The convergence and stability of the obtained method, referred to as NAG-GS, are first studied extensively.
We show that NAG-arity is competitive with state-the-art methods such as momentum SGD with weight decay and AdamW for the training of machine learning models.
arXiv Detail & Related papers (2022-09-29T16:54:53Z) - On the properties of the asymptotic incompatibility measure in
multiparameter quantum estimation [62.997667081978825]
Incompatibility (AI) is a measure which quantifies the difference between the Holevo and the SLD scalar bounds.
We show that the maximum amount of AI is attainable only for quantum statistical models characterized by a purity larger than $mu_sf min = 1/(d-1)$.
arXiv Detail & Related papers (2021-07-28T15:16:37Z) - Stochastic Path Integral Analysis of the Continuously Monitored Quantum
Harmonic Oscillator [0.0]
We deduce the evolution equations for position and momentum expectation values and the covariance matrix elements from the system's characteristic function.
Our results provide insights into the time dependence of the system during the measurement process, motivating their importance for quantum measurement engine/refrigerator experiments.
arXiv Detail & Related papers (2021-03-10T15:04:49Z) - Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in
High Dimensions [41.7567932118769]
Empirical Risk Minimization algorithms are widely used in a variety of estimation and prediction tasks.
In this paper, we characterize for the first time the fundamental limits on the statistical accuracy of convex ERM for inference.
arXiv Detail & Related papers (2020-06-16T04:27:38Z)
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.