Advanced search
Start date
Betweenand


Optimizing resetting of superconducting qubits

Full text
Author(s):
Diniz, Ciro Micheletti ; de Assis, Rogerio Jorge ; de Almeida, Norton G. ; Villas-Boas, Celso J.
Total Authors: 4
Document type: Journal article
Source: PHYSICAL REVIEW A; v. 108, n. 5, p. 8-pg., 2023-11-13.
Abstract

Many quantum algorithms demand a large number of repetitions to obtain reliable statistical results. Thus, at each repetition it is necessary to reset the qubits efficiently and precisely in the shortest possible time, so that quantum computers actually have advantages over classical ones. In this work, we perform a detailed analysis of three different models for information resetting in superconducting qubits. Our experimental setup consists of a main qubit coupled to different auxiliary dissipative systems, which are employed in order to perform the erasure of the information of the main qubit. Our analysis shows that it is not enough to increase the coupling and the dissipation rate associated with the auxiliary systems to decrease the resetting time of the main qubit, a fact that motivates us to find the optimal set of parameters for each studied approach, allowing a significant decrease in the reset time of the three models analyzed. (AU)

FAPESP's process: 19/11999-5 - Collective effects on atomic systems, nuclear spins and cavity quantum electrodynamics
Grantee:Celso Jorge Villas-Bôas
Support Opportunities: Regular Research Grants
FAPESP's process: 21/04672-0 - Quantum thermal engines and nonequilibrium steady states
Grantee:Rogério Jorge de Assis
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 22/10218-2 - Information Erasure in Superconducting Qubit-based Quantum Computers
Grantee:Ciro Micheletti Diniz
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 19/13143-0 - Cold atoms, photons, and quantum correlations
Grantee:Celso Jorge Villas-Bôas
Support Opportunities: Regular Research Grants
FAPESP's process: 22/00209-6 - Second generation quantum technologies
Grantee:Celso Jorge Villas-Bôas
Support Opportunities: Research Projects - Thematic Grants