Exploiting the path-integral radius of gyration in open quantum dynamics
- URL: http://arxiv.org/abs/2602.14647v1
- Date: Mon, 16 Feb 2026 11:10:24 GMT
- Title: Exploiting the path-integral radius of gyration in open quantum dynamics
- Authors: Andrew C. Hunt, Stuart C. Althorpe,
- Abstract summary: A major challenge in open quantum dynamics is the inclusion of Matsubara-decay terms in the memory kernel.<n>We show that the well-known Ishizaki--Tanimura correction is equivalent to separating smooth from Brownian' contributions.<n>We also develop a simple A4' adaptation of the AAA' algorithm in order to fit $mathcal R2()$ to a sum over poles.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: A major challenge in open quantum dynamics is the inclusion of Matsubara-decay terms in the memory kernel, which arise from the quantum-Boltzmann delocalisation of the bath modes. This delocalisation can be quantified by the radius of gyration squared ${\mathcal R}^2(ω)$ of the imaginary-time Feynman paths of the bath modes as a function of the frequency $ω$. In a Hierarchical Equations of Motion (HEOM) calculation with a Debye--Drude spectral density, ${\mathcal R}^2(ω)$ is the only quantity that is treated approximately (assuming convergence with respect to hierarchy depth). Here, we show that the well-known Ishizaki--Tanimura correction is equivalent to separating smooth from `Brownian' contributions to ${\mathcal R}^2(ω)$, and that modifying the correction leads to a more efficient HEOM in the case of fast baths. We also develop a simple `A4' adaptation of the `AAA' (Adaptive Antoulas--Anderson) algorithm in order to fit ${\mathcal R}^2(ω)$ to a sum over poles, which results in an extremely efficient implementation of the standard HEOM method at low temperatures.
Related papers
- Transmutation based Quantum Simulation for Non-unitary Dynamics [35.35971148847751]
We present a quantum algorithm for simulating dissipative diffusion dynamics generated by positive semidefinite operators of the form $A=Ldagger L$.<n>Our main tool is the Kannai transform, which represents the diffusion semigroup $e-TA$ as a Gaussian-weighted superposition of unitary wave propagators.
arXiv Detail & Related papers (2026-01-07T05:47:22Z) - Theta-term in Russian Doll Model: phase structure, quantum metric and BPS multifractality [45.88028371034407]
We investigate the phase structure of the deterministic and disordered versions of the Russian Doll Model (RDM)<n>We find the pattern of phase transitions in the global charge $Q(theta,gamma)$, which arises from the BA equation.<n>We conjecture that the Hamiltonian of the RDM model describes the mixing in particular 2d-4d BPS sector of the Hilbert space.
arXiv Detail & Related papers (2025-10-23T17:25:01Z) - Optimizing random local Hamiltonians by dissipation [44.99833362998488]
We prove that a simplified quantum Gibbs sampling algorithm achieves a $Omega(frac1k)$-fraction approximation of the optimum.
Our results suggest that finding low-energy states for sparsified (quasi)local spin and fermionic models is quantumly easy but classically nontrivial.
arXiv Detail & Related papers (2024-11-04T20:21:16Z) - Efficient Quantum Simulation Algorithms in the Path Integral Formulation [0.5729426778193399]
We provide two novel quantum algorithms based on Hamiltonian versions of the path integral formulation and another for Lagrangians of the form $fracm2dotx2 - V(x)$.
We show that our Lagrangian simulation algorithm requires a number of queries to an oracle that computes the discrete Lagrangian that scales for a system with $eta$ particles in $D+1$ dimensions, in the continuum limit, as $widetildeO(eta D t2/epsilon)$ if $V(x)$ is bounded
arXiv Detail & Related papers (2024-05-11T15:48:04Z) - Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks [54.177130905659155]
Recent studies show that a reproducing kernel Hilbert space (RKHS) is not a suitable space to model functions by neural networks.
In this paper, we study a suitable function space for over- parameterized two-layer neural networks with bounded norms.
arXiv Detail & Related papers (2024-04-29T15:04:07Z) - The Cost of Entanglement Renormalization on a Fault-Tolerant Quantum Computer [0.042855555838080824]
We perform a detailed estimate for the prospect of using deep entanglement renormalization ansatz on a fault-tolerant quantum computer.
For probing a relatively large system size, we observe up to an order of magnitude reduction in the number of qubits.
For estimating the energy per site of $epsilon$, $mathcalOleft(fraclog Nepsilon right)$ $T$ gates and $mathcalOleft(log Nright)$ qubits suffice.
arXiv Detail & Related papers (2024-04-15T18:00:17Z) - Towards large-scale quantum optimization solvers with few qubits [59.63282173947468]
We introduce a variational quantum solver for optimizations over $m=mathcalO(nk)$ binary variables using only $n$ qubits, with tunable $k>1$.
We analytically prove that the specific qubit-efficient encoding brings in a super-polynomial mitigation of barren plateaus as a built-in feature.
arXiv Detail & Related papers (2024-01-17T18:59:38Z) - GRAPE optimization for open quantum systems with time-dependent
decoherence rates driven by coherent and incoherent controls [77.34726150561087]
The GRadient Ascent Pulse Engineering (GRAPE) method is widely used for optimization in quantum control.
We adopt GRAPE method for optimizing objective functionals for open quantum systems driven by both coherent and incoherent controls.
The efficiency of the algorithm is demonstrated through numerical simulations for the state-to-state transition problem.
arXiv Detail & Related papers (2023-07-17T13:37:18Z) - Geometric-Arithmetic Master Equation in Large and Fast Open Quantum
Systems [0.0]
Understanding nonsecular dynamics in open quantum systems is addressed here, with emphasis on systems with large numbers of Bohr frequencies, zero temperature, and fast driving.
We employ the master equation, which replaces arithmetic averages of the decay rates in the open system, with their geometric averages.
We find that it can improve the second order theory, known as the Redfield equation, while enforcing complete positivity on quantum dynamics.
arXiv Detail & Related papers (2021-12-15T03:47:51Z) - Decoherence in open quantum systems: influence of the intrinsic bath
dynamics [0.0]
The non-Markovian master equation for open quantum systems is obtained by generalization of the standard Zwanzig-Nakajima (ZN) projection technique.
We study the obtained kinetic equation both in the Markovian approximation and beyond it.
arXiv Detail & Related papers (2021-12-10T15:24:16Z) - Random quantum circuits transform local noise into global white noise [118.18170052022323]
We study the distribution over measurement outcomes of noisy random quantum circuits in the low-fidelity regime.
For local noise that is sufficiently weak and unital, correlations (measured by the linear cross-entropy benchmark) between the output distribution $p_textnoisy$ of a generic noisy circuit instance shrink exponentially.
If the noise is incoherent, the output distribution approaches the uniform distribution $p_textunif$ at precisely the same rate.
arXiv Detail & Related papers (2021-11-29T19:26:28Z) - Debiased Sinkhorn barycenters [110.79706180350507]
Entropy regularization in optimal transport (OT) has been the driver of many recent interests for Wasserstein metrics and barycenters in machine learning.
We show how this bias is tightly linked to the reference measure that defines the entropy regularizer.
We propose debiased Wasserstein barycenters that preserve the best of both worlds: fast Sinkhorn-like iterations without entropy smoothing.
arXiv Detail & Related papers (2020-06-03T23:06:02Z)
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.