Purification of a monitored qubit: exact path-integral solution
- URL: http://arxiv.org/abs/2605.12783v1
- Date: Tue, 12 May 2026 21:55:51 GMT
- Title: Purification of a monitored qubit: exact path-integral solution
- Abstract summary: We investigate the purification dynamics of a single qubit under continuous in time monitoring.<n>We show that for initial mixed states, the dynamics reduce to a multiplicative Langevin equation for a single parameter representing the state's purity.<n>Our analytical results reveal that purification is characterized by a dynamical crossover from a diffusion dominated regime to a measurement dominated regime, visible in the emergence of a bimodal state distribution.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: We investigate the purification dynamics of a single qubit under continuous in time monitoring. By employing a collisional model framework where the system interacts sequentially with ancillary qubits, we describe the conditioned evolution of the density matrix through a stochastic master equation. We show that for initial mixed states, the dynamics reduce to a multiplicative Langevin equation for a single scalar parameter representing the state's purity. This stochastic process is solved exactly using the Onsager-Machlup path integral formalism, allowing us to derive the full probability distribution for the qubit's trajectories. Our analytical results reveal that purification is characterized by a dynamical crossover from a diffusion dominated regime to a measurement dominated regime, visible in the emergence of a bimodal state distribution. The analytical solutions are in strong agreement with numerical simulations, providing a robust theoretical benchmark for the study of information extraction in monitored quantum systems.
Related papers
- A Generative Sampler for distributions with possible discrete parameter based on Reversibility [9.349846971147256]
We propose a unified, target-gradient-free generative sampling framework applicable across diverse state spaces.<n>We minimize the Maximum Mean Discrepancy (MMD) between the joint distributions of forward and backward Markov trajectories.<n> Experiments show that our framework accurately reproduces thermodynamic observables and captures mode-switching behavior across all regimes.
arXiv Detail & Related papers (2026-03-10T06:32:51Z) - Measurement-induced phase transition in interacting bosons from most likely quantum trajectory [44.61740865424298]
We show how such trajectory can be identified from the probability distribution of quantum trajectories.<n>We prove the method to be exact in the case of Gaussian theories and then extend it to the interacting Sine-Gordon model.<n>Although no longer exact in this framework, the method captures the dynamics through a self-consistent time-dependent harmonic approximation.
arXiv Detail & Related papers (2025-09-29T09:37:01Z) - Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis [56.442307356162864]
We study the theoretical aspects of score-based discrete diffusion models under the Continuous Time Markov Chain (CTMC) framework.<n>We introduce a discrete-time sampling algorithm in the general state space $[S]d$ that utilizes score estimators at predefined time points.<n>Our convergence analysis employs a Girsanov-based method and establishes key properties of the discrete score function.
arXiv Detail & Related papers (2024-10-03T09:07:13Z) - Continuously Monitored Quantum Systems beyond Lindblad Dynamics [68.8204255655161]
We study the probability distribution of the expectation value of a given observable over the possible quantum trajectories.
The measurements are applied to the entire system, having the effect of projecting the system into a product state.
arXiv Detail & Related papers (2023-05-06T18:09:17Z) - Score-based Continuous-time Discrete Diffusion Models [102.65769839899315]
We extend diffusion models to discrete variables by introducing a Markov jump process where the reverse process denoises via a continuous-time Markov chain.
We show that an unbiased estimator can be obtained via simple matching the conditional marginal distributions.
We demonstrate the effectiveness of the proposed method on a set of synthetic and real-world music and image benchmarks.
arXiv Detail & Related papers (2022-11-30T05:33:29Z) - Lindblad master equations for quantum systems coupled to dissipative
bosonic modes [0.0]
We derive Lindblad master equations for a subsystem whose dynamics is coupled to bosonic modes.
We apply this formalism to the dissipative Dicke model and derive a Lindblad master equation for the atomic spins.
This master equation accurately predicts the Dicke phase transition and gives the correct steady state.
arXiv Detail & Related papers (2022-03-07T11:21:48Z) - Exact solutions of interacting dissipative systems via weak symmetries [77.34726150561087]
We analytically diagonalize the Liouvillian of a class Markovian dissipative systems with arbitrary strong interactions or nonlinearity.
This enables an exact description of the full dynamics and dissipative spectrum.
Our method is applicable to a variety of other systems, and could provide a powerful new tool for the study of complex driven-dissipative quantum systems.
arXiv Detail & Related papers (2021-09-27T17:45:42Z) - Entanglement Measures in a Nonequilibrium Steady State: Exact Results in
One Dimension [0.0]
Entanglement plays a prominent role in the study of condensed matter many-body systems.
We show that the scaling of entanglement with the length of a subsystem is highly unusual, containing both a volume-law linear term and a logarithmic term.
arXiv Detail & Related papers (2021-05-03T10:35:09Z) - Measurement-induced purification in large-N hybrid Brownian circuits [0.0]
Competition between unitary dynamics that scrambles quantum information non-locally can result in a measurement-induced entanglement phase transition.
We study this phenomenon in an analytically tractable all-to-all Brownian hybrid circuit model composed of qubits.
arXiv Detail & Related papers (2021-04-15T18:00:15Z) - 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) - Bernstein-Greene-Kruskal approach for the quantum Vlasov equation [91.3755431537592]
The one-dimensional stationary quantum Vlasov equation is analyzed using the energy as one of the dynamical variables.
In the semiclassical case where quantum tunneling effects are small, an infinite series solution is developed.
arXiv Detail & Related papers (2021-02-18T20:55:04Z) - Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC [83.48593305367523]
Hybrid Monte Carlo is a powerful Markov Chain Monte Carlo method for sampling from complex continuous distributions.
We introduce a new approach based on augmenting Monte Carlo methods with SurVAE Flows to sample from discrete distributions.
We demonstrate the efficacy of our algorithm on a range of examples from statistics, computational physics and machine learning, and observe improvements compared to alternative algorithms.
arXiv Detail & Related papers (2021-02-04T02:21:08Z)
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.