Coherently Driven Quantum Harmonic Oscillator Battery

• URL: http://arxiv.org/abs/2401.07238v1
• Date: Sun, 14 Jan 2024 09:41:48 GMT
• Title: Coherently Driven Quantum Harmonic Oscillator Battery
• Authors: Kuldeep Gangwar and Anirban Pathak
• Abstract summary: A model that allows a laser to shine on a QHO charger that interacts with a QHO battery is considered. For a fixed laser field amplitude, the battery can store more energy when tuned with the frequency of the global charger-battery system. The charging process of QHO in the simplified model is faster than the charging process of the catalytic (non-catalytic) battery.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum harmonic oscillator (QHO) battery models have been studied with significant importance in the recent past because these batteries are experimentally realizable and have high ergotropy and capacity to store more than one quanta of energy. QHO battery models are reinvestigated here to answer a set of fundamental questions: Do such models have any benefit? Is unbounded charging possible? Does the use of a catalyst system enhance the energy transfer to quantum batteries? These questions are answered both numerically and analytically by considering a model that allows a laser to shine on a QHO charger that interacts with a QHO battery. In contrast to some of the existing works, the obtained answers are mostly negative. Specifically, in the present work, the laser frequency is tuned with the frequency of the global charger-battery system, which is affected by the interaction between QHOs. It is reported that for a fixed laser field amplitude $\textit{F}$, the battery can store more energy when tuned with the frequency of the global charger-battery system compared to energy stored by tuning the laser frequency with local frequencies of the charger and battery. The charging process of the open QHO, which is a simplified model, and the self-discharging (dissipation) process after switching off the laser field are also investigated to reveal that the charging process of QHO in the simplified model is faster than the charging process of the catalytic (non-catalytic) battery. Further, it's observed that the self-discharging process is almost two times faster than the charging process which makes such models unstable against interaction with the environment.

Related papers

• Photovoltaic power forecasting using quantum machine learning [32.73124984242397]
  Predicting solar panel power output is crucial for advancing the energy transition but is complicated by the variable and non-linear nature of solar energy. Our study introduces a suite of solutions centered around hybrid quantum neural networks designed to tackle these complexities. The first proposed model, the Hybrid Quantum Long Short-Term Memory, surpasses all tested models by over 40% lower mean absolute and mean squared errors. The second proposed model, Hybrid Quantum Sequence-to-Sequence neural network, once trained, predicts photovoltaic power with 16% lower mean absolute error for arbitrary time intervals without the need for prior meteorological data.
  arXiv  Detail & Related papers  (2023-12-27T02:37:46Z)
• High-performance Kerr quantum battery [0.0]
  We study the performance of a hybrid quantum battery, the so-called Kerr quantum battery. We find that the Kerr quantum battery can store more energy than the qubit battery. Most of the stored energy in the Kerr quantum battery can be extracted for work.
  arXiv  Detail & Related papers  (2023-05-04T23:19:04Z)
• Collective effects and quantum coherence in dissipative charging of quantum batteries [0.0]
  We show that for low temperatures the collective process can attain a charging power that increases polynomically with the number of batteries. We also study the dissipative charging process of single battery using a time dependent Hamiltonian that generates coherences in the energy basis.
  arXiv  Detail & Related papers  (2022-05-13T21:17:32Z)
• Catalysis in Charging Quantum Batteries [0.0839643111891507]
  We show that energy transfer limitations can be significantly mitigated in the presence of catalyst systems. We show that these catalyst systems enhance the amount of energy transferred to quantum batteries, while they themselves store almost no energy.
  arXiv  Detail & Related papers  (2022-05-10T16:34:00Z)
• NMR investigations of quantum battery using star-topology spin systems [0.0]
  We experimentally investigate various aspects of quantum battery with the help of nuclear spin systems in star-topology configuration. We first carry out numerical analysis to study how charging a quantum battery depends on the relative purity factors of charger and battery spins. By experimentally measuring the polarization of the battery spin undergoing charging, we estimate the battery energy and establish the theoretically predicted quantum advantage.
  arXiv  Detail & Related papers  (2021-12-31T13:17:37Z)
• Nuclear two point correlation functions on a quantum-computer [105.89228861548395]
  We use current quantum hardware and error mitigation protocols to calculate response functions for a highly simplified nuclear model. In this work we use current quantum hardware and error mitigation protocols to calculate response functions for a modified Fermi-Hubbard model in two dimensions with three distinguishable nucleons on four lattice sites.
  arXiv  Detail & Related papers  (2021-11-04T16:25:33Z)
• Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering [99.66470885217623]
  We propose a novel approach towards improving the efficiency of Question Answering (QA) systems by filtering out questions that will not be answered by them. This is based on an interesting new finding: the answer confidence scores of state-of-the-art QA systems can be approximated well by models solely using the input question text.
  arXiv  Detail & Related papers  (2021-09-14T23:07:49Z)
• Optimal charging of a superconducting quantum battery [13.084212951440033]
  We report the experimental realization of a quantum battery based on superconducting qubits. Our model explores dark and bright states to achieve stable and powerful charging processes, respectively. Our results pave the way for proposals of new superconducting circuits able to store extractable work for further usage.
  arXiv  Detail & Related papers  (2021-08-09T18:53:07Z)
• Algorithmic Ground-state Cooling of Weakly-Coupled Oscillators using Quantum Logic [52.77024349608834]
  We introduce a novel algorithmic cooling protocol for transferring phonons from poorly- to efficiently-cooled modes. We demonstrate it experimentally by simultaneously bringing two motional modes of a Be$+$-Ar$13+$ mixed Coulomb crystal close to their zero-point energies. We reach the lowest temperature reported for a highly charged ion, with a residual temperature of only $Tlesssim200mathrmmu K$ in each of the two modes.
  arXiv  Detail & Related papers  (2021-02-24T17:46:15Z)
• Hamiltonian operator approximation for energy measurement and ground state preparation [23.87373187143897]
  We show how to approximate the Hamiltonian operator as a sum of propagators using a differential representation. The proposed approach, named Hamiltonian operator approximation (HOA), is designed to benefit analog quantum simulators.
  arXiv  Detail & Related papers  (2020-09-07T18:11:00Z)
• Universal Battery Performance and Degradation Model for Electric Aircraft [52.77024349608834]
  Design, analysis, and operation of electric vertical takeoff and landing aircraft (eVTOLs) requires fast and accurate prediction of Li-ion battery performance. We generate a battery performance and thermal behavior dataset specific to eVTOL duty cycles. We use this dataset to develop a battery performance and degradation model (Cellfit) which employs physics-informed machine learning.
  arXiv  Detail & Related papers  (2020-07-06T16:10:54Z)

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.