Engineered non-Gaussian Coherence as a Thermodynamic Resource for Quantum Batteries
- URL: http://arxiv.org/abs/2604.11313v1
- Date: Mon, 13 Apr 2026 11:17:07 GMT
- Title: Engineered non-Gaussian Coherence as a Thermodynamic Resource for Quantum Batteries
- Abstract summary: Quantum non-Gaussian (QNG) states are promising candidates that enable universal quantum operations to enhance thermodynamic performance.<n>We aim to optimize the performance of quantum batteries for various Gaussian charger profiles under unitary dynamics.<n>This study provides a proof-of-concept for exploiting thermodynamic resources in quantum energy storage units.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Accessing quantum advantage (QA) is a legitimate task in energy harvesting devices, and it is potentially reshaping thermodynamic concepts. In this respect, the resourceful quantum non-Gaussian (QNG) states are promising candidates that precisely enable universal quantum operations to enhance thermodynamic performance with capabilities beyond what Gaussian states can achieve. We recently proposed [K. Adhikary, D. W. Moore, and R. Filip, {\em Quantum Sci. Technol.} \textbf{10}, 035048 (2025)] the QNG state generation scheme, which serves as the framework for this study and is directly integrated into the battery setting to figure out QA. By leveraging coherence in the engineered QNG states, we aim to optimize the performance of quantum batteries for various Gaussian charger profiles under unitary dynamics. We further exploit the degree of thermal broadening and environmental coupling to the charger, which is capable of fostering stable performance under precise thermal management. This study provides a proof-of-concept for exploiting thermodynamic resources in quantum energy storage units.
Related papers
- Maximum precision charging of multi-qubit quantum batteries [0.0]
We show how genuine quantum features, together with non-Gaussianity, can be the key elements to achieve the best of these three aspects during a quantum battery-charging process.<n>Our study allows to conclude that charging the battery through a sequential protocol involving a quantum non-Gaussian field state guarantees extremely high-performances.
arXiv Detail & Related papers (2026-01-17T21:58:03Z) - Algorithmic Quantum Simulations of Quantum Thermodynamics [22.18998680528792]
We develop protocols for simulating quantum thermodynamics on quantum hardware through quantum kernel function expansion (QKFE)<n>These protocols are demonstrated by simulating transverse field Ising and XY models with superconducting qubits.<n>Our approach provides a general framework for computing thermodynamic potentials on programmable quantum devices.
arXiv Detail & Related papers (2025-11-28T06:06:23Z) - A review of applications of Quantum Energy Teleportation: from experimental tests to thermodynamics and spacetime engineering [0.0]
Quantum energy teleportation (QET) exploits the existence of correlations to enable remote energy transfer.<n>This paper presents a review of the thermodynamic foundations of QET and reviews its first experimental demonstration.<n>We will review how QET can be employed to optimally generate exotic quantum states characterized by negative average stress-energy densities.
arXiv Detail & Related papers (2025-05-07T18:00:01Z) - Thermodynamically Consistent Lindbladians for Quantum Stochastic Thermodynamics [2.543907553447344]
We develop a Lindblad framework for quantum thermodynamics to study the nonequilibrium thermodynamics of open quantum systems.<n>Our approach adopts the local quantum detailed balance condition, ensuring thermodynamic consistency.<n>We derive the full counting statistics of work and heat and determine the optimal protocols.
arXiv Detail & Related papers (2025-02-27T14:10:21Z) - Efficient charge-preserving excited state preparation with variational quantum algorithms [33.03471460050495]
We introduce a charge-preserving VQD (CPVQD) algorithm, designed to incorporate symmetry and the corresponding conserved charge into the VQD framework.
Results show applications in high-energy physics, nuclear physics, and quantum chemistry.
arXiv Detail & Related papers (2024-10-18T10:30:14Z) - Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers [37.69303106863453]
We propose a state preparation method based on coupled cluster (CC) theory, which is a pillar of quantum chemistry on classical computers.
Our approach leads to a reduction of the classical computation overhead, and the number of CNOT and T gates by 28% and 57% on average.
arXiv Detail & Related papers (2024-06-17T14:10:10Z) - Quantum caloric effects [0.0]
This study focuses on deriving general expressions for caloric potentials in quantum systems.<n>Our results recover the classical cases and also reveal that the isothermal entropy change can be related to genuine quantum correlations in the system.
arXiv Detail & Related papers (2024-06-14T20:39:13Z) - 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) - Variational-quantum-eigensolver-inspired optimization for spin-chain work extraction [39.58317527488534]
Energy extraction from quantum sources is a key task to develop new quantum devices such as quantum batteries.
One of the main issues to fully extract energy from the quantum source is the assumption that any unitary operation can be done on the system.
We propose an approach to optimize the extractable energy inspired by the variational quantum eigensolver (VQE) algorithm.
arXiv Detail & Related papers (2023-10-11T15:59:54Z) - Unleashing the Potential of LLMs for Quantum Computing: A Study in
Quantum Architecture Design [24.458383407274518]
Large Language Models (LLMs) contribute significantly to the development of conversational AI.
This paper attempts to address the following questions.
What opportunities do the current generation of generative pre-trained transformers (GPTs) offer for the developments of noisy intermediate-scale quantum technologies?
arXiv Detail & Related papers (2023-07-17T01:39:38Z) - 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) - Gaussian work extraction from random Gaussian states is nearly
impossible [0.0]
A key resource in thermodynamics is the extractable work, forming the backbone of thermal engines.
We show that Gaussian states are typically useless for Gaussian work extraction.
arXiv Detail & Related papers (2022-12-07T07:18:12Z) - On exploring the potential of quantum auto-encoder for learning quantum systems [60.909817434753315]
We devise three effective QAE-based learning protocols to address three classically computational hard learning problems.
Our work sheds new light on developing advanced quantum learning algorithms to accomplish hard quantum physics and quantum information processing tasks.
arXiv Detail & Related papers (2021-06-29T14:01:40Z)
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.