| Full text | |
| Author(s): |
Medina, Ivan
;
Drinko, Alexandre
;
Correr, Guilherme I.
;
Azado, Pedro C.
;
Soares-Pinto, Diogo O.
Total Authors: 5
|
| Document type: | Journal article |
| Source: | PHYSICAL REVIEW A; v. 110, n. 1, p. 9-pg., 2024-07-17. |
| Abstract | |
The energy extraction from quantum sources is a key task to develop new quantum devices such as quantum batteries (QB). In this context, one of the main figures of merit is the ergotropy, which measures the maximal amount of energy (as work) that can be extracted from the quantum source by means of unitary operations. 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. This assumption, in general, fails in practice since the operations that can be done are limited and depend on the quantum hardware (experimental platform) one has available. In this work, we propose an approach to optimize the extractable energy inspired by the variational quantum eigensolver (VQE) algorithm. In this approach, we explicitly take into account a limited set of unitaries by using the hardware efficient ansatz (HEA) class of parameterized quantum circuits. As a QB we use an one-dimensional spin chain described by a family of paradigmatic first neighbor hamiltonians such as the XXX, XXZ, XY Z, XX, XY, and transverse Ising models. By building our parameterized quantum circuits assuming that different types of connectivity may be available depending on the quantum hardware, we numerically compare the efficiency of work extraction for each model. Our results show that the best efficiency is generally obtained with quantum circuits that have connectivity between first neighbor spins. (AU) | |
| FAPESP's process: | 17/03727-0 - Quantumness of composite systems: geometry, dynamics and thermodynamics |
| Grantee: | Diogo de Oliveira Soares Pinto |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 22/08786-2 - Non-classical resources for NV centres quantum batteries |
| Grantee: | Ivan Medina |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |