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We investigate the presence of memory in the sequential measurement statistics of an open quantum system, as witnessed by the departure from the quantum regression theorem (QRT), that is, the possibility to predict multitime probabilities…

量子物理 · 物理学 2026-05-08 Paolo Luppi , Claudia Benedetti , Andrea Smirne

Beyond the conventional quantum regression theorem, a general formula for non-Markovian correlation functions of arbitrary system operators both in the time- and frequency-domain is given. We approach the problem by transforming the…

量子物理 · 物理学 2016-09-21 Jinshuang Jin , Christian Karlewski , Michael Marthaler

Multiple time correlation functions are found in the dynamical description of different phenomena. They encode and describe the fluctuations of the dynamical variables of a system. In this paper we formulate a theory of non-Markovian…

量子物理 · 物理学 2009-11-10 Daniel Alonso , Inés de Vega

The ubiquitous effects of the environment on quantum-mechanical systems generally cause temporally correlated fluctuations. This particularly holds for systems of interest for quantum computation where such effects lead to correlated…

量子物理 · 物理学 2025-04-23 Balázs Gulácsi , Guido Burkard

While the quantum regression theorem (QRT) is the standard tool for computing multi-time correlation functions in open quantum systems, it relies on system-bath separability and an environment that remains in equilibrium, assumptions that…

量子物理 · 物理学 2026-04-16 Matias Bundgaard-Nielsen , Jake Iles-Smith

An extremely useful evolution equation that allows systematically calculating the two-time correlation functions (CF's) of system operators for non-Markovian open (dissipative) quantum systems is derived. The derivation is based on…

量子物理 · 物理学 2011-03-30 Hsi-Sheng Goan , Po-Wen Chen , Chung-Chin Jian

The quantum regression theorem (QRT) is the most-widely used tool for calculating multitime correlation functions for the assessment of quantum emitters. It is an approximate method based on a Markov assumption for the environmental…

量子物理 · 物理学 2021-12-20 M. Cosacchi , T. Seidelmann , M. Cygorek , A. Vagov , D. E. Reiter , V. M. Axt

Linear response functions are a cornerstone concept in physics as they enable efficient estimation of many dynamical properties. In addition to predicting dynamics of observables under perturbations without resimulating the system, these…

量子物理 · 物理学 2025-10-08 Xiantao Li , Chunhao Wang

The time-dependence of multi-point observable correlation functions are essential quantities in analysis and simulation of quantum dynamics. Open quantum systems approaches utilize two-point correlations to describe the influence of an…

量子物理 · 物理学 2025-10-27 Yoana R. Chorbadzhiyska , Peter A. Ivanov , Charlie Nation

Quantum regression theorem is a very useful result in open quantum system and extensively used for computing multi-point correlation functions. Traditionally it is derived for two-time correlators in the Markovian limit employing the…

量子物理 · 物理学 2022-09-14 Sakil Khan , Bijay Kumar Agarwalla , Sachin Jain

Measurements on a single quantum system at different times reveal rich non-classical correlations similar to those observed in spatially separated multi-partite systems. Here we introduce a theory framework that unifies the description of…

Temporal correlations are fundamental in quantum physics, yet their computation is often challenging. The regression theorem (or hypothesis) serves as a key tool in this context, offering a seemingly straightforward approach. However, it…

量子物理 · 物理学 2025-07-09 Leonardo Santos , Otfried Gühne , Stefan Nimmrichter

The quantum regression theorem is a powerful tool for calculating the muli-time correlators of operators of open quantum systems which dynamics can be described in Markovian approximation. It enables to obtain the closed system of equation…

量子物理 · 物理学 2023-10-16 Ivan V. Panyukov , Vladislav Yu. Shishkov , Evgeny S. Andrianov

We derive an extension of the quantum regression theorem to calculate out-of-time-order correlation functions in Markovian open quantum systems. While so far mostly being applied in the analysis of many-body physics, we demonstrate that…

量子物理 · 物理学 2019-03-13 Philip Daniel Blocher , Klaus Molmer

We investigate the dynamics of quantum correlations (QC) under the effects of reservoir memory, as a resource for quantum information and computation tasks. Quantum correlations of two-qubit systems are used for implementing quantum…

量子物理 · 物理学 2022-02-17 K. G Paulson , Ekta Panwar , Subhashish Banerjee , R. Srikanth

This paper continues on the program of developing a relativistic quantum information theory in terms of unequal-time correlation functions in quantum field theory (QFT)[arXiv:2208.03696]. Here, we focus on the definition of quantum…

量子物理 · 物理学 2024-11-19 Charis Anastopoulos , Konstantina Savvidou

Using a real-time path integral approach we develop an algorithm to calculate multi-time correlation functions of open few-level quantum systems that is applicable to highly nonequilibrium dynamics. The calculational scheme fully keeps the…

介观与纳米尺度物理 · 物理学 2018-09-12 Michael Cosacchi , Moritz Cygorek , Florian Ungar , Andreas M. Barth , Alexei Vagov , Vollrath Martin Axt

We analyze the long time behavior of a quantum computer running a quantum error correction (QEC) code in the presence of a correlated environment. Starting from a Hamiltonian formulation of realistic noise models, and assuming that QEC is…

量子物理 · 物理学 2008-07-11 E. Novais , Eduardo R. Mucciolo , Harold U. Baranger

Our main goal in this paper is to extend to any system of coupled quadratic Hamiltonians some properties known for systems of quantum harmonic oscillators related with the Brownian Quantum Motion model. In a first part we get a rather…

数学物理 · 物理学 2012-11-19 Didier Robert

As quantum devices make steady progress towards intermediate scale and fault-tolerant quantum computing, it is essential to develop rigorous and efficient measurement protocols that account for known sources of noise. Most existing quantum…

量子物理 · 物理学 2024-01-22 M. J. Gullans , M. Caranti , A. R. Mills , J. R. Petta
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