Enhancing the efficiency of open quantum batteries via adjusting the classical driving field

• URL: http://arxiv.org/abs/2303.17884v1
• Date: Fri, 31 Mar 2023 08:41:04 GMT
• Title: Enhancing the efficiency of open quantum batteries via adjusting the classical driving field
• Authors: Maryam Hadipour, Soroush Haseli
• Abstract summary: The study of open quantum batteries is motivated by the fact that real-world quantum systems are almost never perfectly isolated from their environment. The charging process of open quantum batteries under the influence of dissipative environment will be studied.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In the context of quantum information, a quantum battery refers to a system composed of quantum particles that can store and release energy in a way that is governed by the principles of quantum mechanics. The study of open quantum batteries is motivated by the fact that real-world quantum systems are almost never perfectly isolated from their environment. One important challenge in the study of open quantum batteries is to develop theoretical models that accurately capture the complex interactions between the battery and its environment. the goal of studying open quantum batteries is to develop practical methods for building and operating quantum devices that can store and release energy with high efficiency and reliability, even in the presence of environmental noise and other sources of decoherence. The charging process of open quantum batteries under the influence of dissipative environment will be studied. In this Work, the effect of the classical driving field on the charging process of open quantum batteries will be investigated. The classical driving field can be used to manipulate the charging and discharging process of the battery, leading to enhanced performance and improved efficiency. It also will be showed that the efficiency of open quantum batteries depends on detuning between the qubit and the classical driving field and central frequency of the cavity and the classical driving field.

Related papers

• The curse of random quantum data [62.24825255497622]
  We quantify the performances of quantum machine learning in the landscape of quantum data. We find that the training efficiency and generalization capabilities in quantum machine learning will be exponentially suppressed with the increase in qubits. Our findings apply to both the quantum kernel method and the large-width limit of quantum neural networks.
  arXiv  Detail & Related papers  (2024-08-19T12:18:07Z)
• Two-photon charging of a quantum battery with a Gaussian pulse envelope [0.0]
  We show how an exponential enhancement in stored energy can be achieved with a quantum battery thanks to a two-photon charging protocol. Our results demonstrate a plausible mechanism for quickly storing a vast amount of energy in a quantum object defined by continuous variables.
  arXiv  Detail & Related papers  (2024-07-09T12:35:29Z)
• Nonreciprocal Quantum Batteries [0.0]
  We introduce nonreciprocity through reservoir engineering during the charging process, resulting in a substantial increase in energy accumulation. Despite local dissipation, the nonreciprocal approach demonstrates a fourfold increase in battery energy. In a broader context, the concept of nonreciprocal charging has significant implications for sensing, energy capture, and storage technologies.
  arXiv  Detail & Related papers  (2024-01-10T11:50:03Z)
• A quantum battery with quadratic driving [0.0]
  Quantum batteries are energy storage devices built using quantum mechanical objects. We study theoretically a bipartite quantum battery model, composed of a driven charger connected to an energy holder.
  arXiv  Detail & Related papers  (2023-11-04T15:01:36Z)
• 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)
• Quantum data learning for quantum simulations in high-energy physics [55.41644538483948]
  We explore the applicability of quantum-data learning to practical problems in high-energy physics. We make use of ansatz based on quantum convolutional neural networks and numerically show that it is capable of recognizing quantum phases of ground states. The observation of non-trivial learning properties demonstrated in these benchmarks will motivate further exploration of the quantum-data learning architecture in high-energy physics.
  arXiv  Detail & Related papers  (2023-06-29T18:00:01Z)
• Quantum Machine Learning: from physics to software engineering [58.720142291102135]
  We show how classical machine learning approach can help improve the facilities of quantum computers. We discuss how quantum algorithms and quantum computers may be useful for solving classical machine learning tasks.
  arXiv  Detail & Related papers  (2023-01-04T23:37:45Z)
• Boosting quantum battery performance by structure engineering [6.211723927647019]
  Quantum coherences, correlations and collective effects can be harnessed to the advantage of quantum batteries. We introduce a feasible structure engineering scheme that is applicable to spin-based open quantum batteries.
  arXiv  Detail & Related papers  (2021-04-13T21:34:55Z)
• Information Scrambling in Computationally Complex Quantum Circuits [56.22772134614514]
  We experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor. We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate.
  arXiv  Detail & Related papers  (2021-01-21T22:18:49Z)
• Quantum advantage of two-level batteries in self-discharging process [0.0]
  We study the decoherence effects that lead to charge leakage to the surrounding environment. The quantum advantage concerning the classical counterpart is highlighted for single- and multi-cell quantum batteries.
  arXiv  Detail & Related papers  (2020-12-22T13:38:09Z)
• Circuit Quantum Electrodynamics [62.997667081978825]
  Quantum mechanical effects at the macroscopic level were first explored in Josephson junction-based superconducting circuits in the 1980s. In the last twenty years, the emergence of quantum information science has intensified research toward using these circuits as qubits in quantum information processors. The field of circuit quantum electrodynamics (QED) has now become an independent and thriving field of research in its own right.
  arXiv  Detail & Related papers  (2020-05-26T12:47:38Z)

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.