NMR investigations of quantum battery using star-topology spin systems
- URL: http://arxiv.org/abs/2112.15437v3
- Date: Tue, 25 Oct 2022 07:31:54 GMT
- Title: NMR investigations of quantum battery using star-topology spin systems
- Authors: Jitendra Joshi and T S Mahesh
- Abstract summary: 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.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Theoretical explorations have revealed that quantum batteries can exploit
quantum correlation to achieve faster charging, thus promising exciting
applications in future technologies. Using NMR architecture, here 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.
We propose using the quantum advantage, which depends on the entanglement among
chargers and battery, as a measure for estimating the size of the entangled
cluster. We develop a simple iterative method to realize asymptotic charging
avoiding oscillatory behaviour of charging and discharging. Finally, we
introduce a load spin and realize a charger-battery-load circuit and
experimentally demonstrate battery energy consumption after varying durations
of battery storage, for up to two minutes.
Related papers
- Harnessing Nth Root Gates for Energy Storage [30.733286944793527]
We explore the use of fractional control-not gates in quantum thermodynamics.
Nth-root gate allows for a paced application of two-qubit operations.
We apply it in quantum thermodynamic protocols for charging a quantum battery.
arXiv Detail & Related papers (2024-09-16T14:57:55Z) - In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods [30.565491081930997]
We develop an approach for estimating desired precision of kernel values, which is translated into the number of circuit runs.
We stress that quantum kernel methods should not only be considered from the machine learning performance perspective, but also from the context of the resource consumption.
arXiv Detail & Related papers (2024-07-22T16:29:35Z) - Local-projective-measurement-enhanced quantum battery capacity [13.61700291107261]
capacity is an important indicator for a battery.
We study the enhancement of the battery capacity under local projective measurements on a subsystem of the quantum state.
arXiv Detail & Related papers (2024-05-06T01:11:25Z) - Utilizing Quantum Processor for the Analysis of Strongly Correlated Materials [34.63047229430798]
This study introduces a systematic approach for analyzing strongly correlated systems by adapting the conventional quantum cluster method to a quantum circuit model.
We have developed a more concise formula for calculating the cluster's Green's function, requiring only real-number computations on the quantum circuit instead of complex ones.
arXiv Detail & Related papers (2024-04-03T06:53:48Z) - Estimation of electrostatic interaction energies on a trapped-ion
quantum computer [29.884106383002205]
We present the first hardware implementation of electrostatic interaction energies using a trapped-ion quantum computer.
The quantum computer is used to generate an approximate ground state within the active space.
arXiv Detail & Related papers (2023-12-22T14:46:41Z) - 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) - QuEst: Graph Transformer for Quantum Circuit Reliability Estimation [32.89844497610906]
Python library called TorchQuantum can construct, simulate, and train PQC for machine learning tasks.
We propose to leverage a graph transformer model to predict noise impact on circuit fidelity.
Compared with circuit simulators, the predictor has over 200X speedup for estimating the fidelity.
arXiv Detail & Related papers (2022-10-30T02:35:31Z) - Quantum battery in nonequilibrium reservoirs [3.013260458524006]
We investigate a quantum battery system in which the coupled two-level charger and battery are immersed in nonequilbrium boson or fermion reservoirs.
In the non-resonance driving regime, the efficiency of the quantum battery can be optimized by the compensation mechanism for both the boson and fermion reservoirs.
arXiv Detail & Related papers (2022-10-17T06:36:02Z) - Performance of quantum batteries with correlated and uncorrelated
chargers [0.0]
Energy can be stored in quantum batteries by electromagnetic fields as chargers.
It is shown that by using two independent charging fields, prepared in coherent states, charging power of the quantum battery can be significantly improved.
arXiv Detail & Related papers (2022-07-18T16:42:39Z) - 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)
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.