activity
20202025
most citedSwap Test with Quantum-Dot Charge Qubits

7 citations · 18 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2025

Quantum coherence and counterdiabatic quantum computing

Raziel Huerta-Ruiz, Maximiliano Araya-Gaete, Diego Tancara +3

Counterdiabatic driving emerges as a valuable technique for implementing shortcuts to adiabaticity protocols, enhancing quantum technology applications. In this context, counterdia…

quant-ph2023★ 1 cited

A variational coherent quantum annealing protocol

N. Barraza, G. Alvarado Barrios, I. Montalban +2

We introduce variational coherent quantum annealing (VCQA), a hybrid protocol that optimizes finite-time annealing schedules within a low-dimensional parameter space. We consider t…

quant-ph2022★ 4 cited

Deterministic single-photon source in the ultrastrong coupling regime

Jie Peng, Jianing Tang, Pinghua Tang +7

Deterministic single-photon sources are important and ubiquitous in quantum information protocols. However, to the best of our knowledge, none of them work in the ultrastrong light…

quant-ph2021★ 7 cited

Swap Test with Quantum-Dot Charge Qubits

Y. -D. Li, N. Barraza, G. Alvarado Barrios +2

We propose the implementation of the Swap Test using a charge qubit in a double quantum dot. The Swap Test is a fundamental quantum subroutine in quantum machine learning and other…

quant-ph2021

Analog Quantum Approximate Optimization Algorithm

Nancy Barraza, Gabriel Alvarado Barrios, Jie Peng +3

We present an analog version of the quantum approximate optimization algorithm suitable for current quantum annealers. The central idea of this algorithm is to optimize the schedul…

quant-ph2021★ 3 cited

Adaptive Random Quantum Eigensolver

Nancy Barraza, Chi-Yue Pan, Lucas Lamata +2

We propose an adaptive random quantum algorithm to obtain an optimized eigensolver. Specifically, we introduce a general method to parametrize and optimize the probability density…

quant-ph2020★ 3 cited

Experimental semi-autonomous eigensolver using reinforcement learning

C. -Y. Pan, M. Hao, N. Barraza +2

The characterization of observables, expressed via Hermitian operators, is a crucial task in quantum mechanics. For this reason, an eigensolver is a fundamental algorithm for any q…