Limitations of strong coupling in non-Markovian quantum thermometry
- URL: http://arxiv.org/abs/2510.01596v1
- Date: Thu, 02 Oct 2025 02:20:44 GMT
- Title: Limitations of strong coupling in non-Markovian quantum thermometry
- Authors: Qing-Shou Tan, Yang Liu, Xulin Liu, Hao Chen, Xing Xiao, Wei Wu,
- Abstract summary: We investigate quantum thermometry using a single-qubit probe embedded in a non-Markovian environment.<n>Our results reveal fundamental constraints and opportunities in quantum thermometry.
- Score: 9.399766062432928
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We investigate quantum thermometry using a single-qubit probe embedded in a non-Markovian environment, employing the numerically exact hierarchical equations of motion (HEOM) to overcome the limitations of Born-Markov approximations. Through a systematic analysis of the dynamical and steady-state behavior of the quantum signal-to-noise ratio (QSNR) for temperature estimation, we identify several key findings that challenge the conventional expectation that strong coupling necessarily enhances thermometric performance. In non-equilibrium dynamical thermometry, weak system-environment coupling generally yields the optimal QSNR, whereas in the steady-state regime, strong coupling enhances sensitivity only in the ultra-low-temperature limit, while weak coupling significantly improves precision at moderately low temperatures. To optimize performance across coupling regimes, we develop a hybrid computational framework that integrates HEOM with quantum-enhanced particle swarm optimization, enabling precise quantum dynamical control under varying coupling strengths. Our results reveal fundamental constraints and opportunities in quantum thermometry, offering practical strategies for the design of high-performance quantum thermometers operating in realistic open quantum systems.
Related papers
- Reduction of thermodynamic uncertainty by a virtual qubit [5.087975072720057]
thermodynamic uncertainty relation (TUR) imposes a constraint between current fluctuations and entropy production.<n>We show that the steady-state currents and entropy production can be fully reproduced by an effective classical Markov process.
arXiv Detail & Related papers (2026-01-15T14:24:01Z) - 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) - Anomaly to Resource: The Mpemba Effect in Quantum Thermometry [0.0]
We show that nonequilibrium quantum thermometry can transiently outperform both equilibrium strategies and colder states.<n>Our results establish anomalous relaxation as a general design principle for nonequilibrium quantum thermometry.
arXiv Detail & Related papers (2026-01-08T15:51:47Z) - Quantum Process Tomography of a Room-Temperature Alkali-Metal Vapor [1.100125927005667]
Quantum process tomography (QPT) is a technique for reconstructing the dynamics of open quantum systems under the Born-Markov approximation.<n>We present a method that we experimentally validate on a room-temperature $87$Rb vapor ensemble, achieving high-fidelity reconstruction of qutrit Liouvillians.
arXiv Detail & Related papers (2025-08-27T07:14:33Z) - TensoMeta-VQC: A Tensor-Train-Guided Meta-Learning Framework for Robust and Scalable Variational Quantum Computing [60.996803677584424]
TensoMeta-VQC is a novel tensor-train (TT)-guided meta-learning framework designed to improve the robustness and scalability of VQC significantly.<n>Our framework fully delegates the generation of quantum circuit parameters to a classical TT network, effectively decoupling optimization from quantum hardware.
arXiv Detail & Related papers (2025-08-01T23:37:55Z) - Thermalization and Criticality on an Analog-Digital Quantum Simulator [133.58336306417294]
We present a quantum simulator comprising 69 superconducting qubits which supports both universal quantum gates and high-fidelity analog evolution.
We observe signatures of the classical Kosterlitz-Thouless phase transition, as well as strong deviations from Kibble-Zurek scaling predictions.
We digitally prepare the system in pairwise-entangled dimer states and image the transport of energy and vorticity during thermalization.
arXiv Detail & Related papers (2024-05-27T17:40:39Z) - Coherence-enhanced single-qubit thermometry out of equilibrium [0.0]
We consider a finite-dimensional quantum system, employed as a quantum thermometer, in contact with a thermal inducing Markov bathian thermalization dynamics.
We prove that the sensitivity of the thermometer, quantified by the quantum Fisher information, is enhanced by the quantum coherence in its initial state.
arXiv Detail & Related papers (2024-05-23T11:11:01Z) - Dynamically Emergent Quantum Thermodynamics: Non-Markovian Otto Cycle [49.1574468325115]
We revisit the thermodynamic behavior of the quantum Otto cycle with a focus on memory effects and strong system-bath couplings.
Our investigation is based on an exact treatment of non-Markovianity by means of an exact quantum master equation.
arXiv Detail & Related papers (2023-08-18T11:00:32Z) - Mixing thermal coherent states for precision and range enhancement in quantum thermometry [0.0]
We propose the realization of a special mixture of thermal coherent states by coupling a thermal bath with a two-level system that is longitudinally coupled to a resonator.<n>We find that the state of the resonator is a special mixture of two oppositely displaced thermal coherent states, whereas the two-level system remains thermal.<n>In this context, the resonator functions as a probe to measure the unknown temperature of a bath mediated by a two-level system.
arXiv Detail & Related papers (2023-06-07T12:04:55Z) - Quantum Thermal State Preparation [39.91303506884272]
We introduce simple continuous-time quantum Gibbs samplers for simulating quantum master equations.
We construct the first provably accurate and efficient algorithm for preparing certain purified Gibbs states.
Our algorithms' costs have a provable dependence on temperature, accuracy, and the mixing time.
arXiv Detail & Related papers (2023-03-31T17:29:56Z) - A self-consistent field approach for the variational quantum
eigensolver: orbital optimization goes adaptive [52.77024349608834]
We present a self consistent field approach (SCF) within the Adaptive Derivative-Assembled Problem-Assembled Ansatz Variational Eigensolver (ADAPTVQE)
This framework is used for efficient quantum simulations of chemical systems on nearterm quantum computers.
arXiv Detail & Related papers (2022-12-21T23:15:17Z) - Taming Quantum Noise for Efficient Low Temperature Simulations of Open
Quantum Systems [4.866728358750297]
We introduce an effective treatment of quantum noise in frequency space by systematically clustering higher order Matsubara poles equivalent to an optimized rational decomposition.
This leads to an elegant extension of the HEOM to arbitrary temperatures and very general reservoirs in combination with efficiency, high accuracy and long-time stability.
As one highly non-trivial application, for the sub-ohmic spin-boson model at vanishing temperature the Shiba relation is quantitatively verified which predicts the long-time decay of correlation functions.
arXiv Detail & Related papers (2022-02-08T18:46:11Z) - Criticality-enhanced quantum sensor at finite temperature [44.23814225750129]
We propose a thermodynamic-criticality-enhanced quantum sensing scenario at finite temperature.
It is revealed that the thermodynamic criticality of the Dicke model can significantly improve the sensing precision.
arXiv Detail & Related papers (2021-10-15T02:39:31Z) - Non-Markovian temperature sensing [4.8229512034776]
We go beyond traditional paradigms of the Born-Markov theory, the pure dephasing mechanism, and the weak-coupling approximation.
Our results may have certain applications for high-resolution quantum thermometry.
arXiv Detail & Related papers (2021-10-15T02:34:24Z) - Benchmarking adaptive variational quantum eigensolvers [63.277656713454284]
We benchmark the accuracy of VQE and ADAPT-VQE to calculate the electronic ground states and potential energy curves.
We find both methods provide good estimates of the energy and ground state.
gradient-based optimization is more economical and delivers superior performance than analogous simulations carried out with gradient-frees.
arXiv Detail & Related papers (2020-11-02T19:52:04Z)
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.