activity
20222026
most citedComparison between the Iterative Local Search and Exhaustive Search methods applied to QAOA in Max-Cut and Ising Spin Model problems

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

quant-ph2026

RFOX (Rotated-Field Oscillatory eXchange) quantum algorithm: Towards Parameter-Free Quantum Optimizers

Brian García Sarmina, Guo-Hua Sun, Shi-Hai Dong

We introduce RFOX (Rotated-Field Oscillatory eXchange), a parameter-free quantum algorithm for combinatorial optimization that combines an almost constant non-stoquastic catal…

quant-ph2026

Q-PIPE A Practical Quantum Phase Encoding Method

Brian García Sarmina, Emmanuel Martínez-Guerrero, Janeth De Anda Gil +2

A major hurdle in Quantum Image Processing (QIMP) is efficiently transferring classical, high-dimensional image data into quantum states. Current methods face trade-offs: amplitude…

quant-ph2025

Exploring Entanglement and Parameter Sensitivity in QAOA through Quantum Fisher Information

Brian García Sarmina, Jorge Saavedra Benavides, Guo-Hua Sun +1

Quantum Fisher Information (QFI) can be used to quantify how sensitive a quantum state reacts to changes in its variational parameters, making it a natural diagnostic for algorithm…

quant-ph2024

Parameter optimization comparison in QAOA using Stochastic Hill Climbing with Random Re-starts and Local Search with entangled and non-entangled mixing operators

Brian García Sarmina, Guo-Hua Sun, Shi-Hai Dong

This study investigates the efficacy of Stochastic Hill Climbing with Random Restarts (SHC-RR) compared to Local Search (LS) strategies within the Quantum Approximate Optimization…

quant-ph20221 cited

Comparison between the Iterative Local Search and Exhaustive Search methods applied to QAOA in Max-Cut and Ising Spin Model problems

Brian García Sarmina

A comparison is made between Exhaustive Search (ES) and Iterative Local Search (ILS). Such comparison was made using the Quantum Approximation Optimization Algorithm (QAOA). QAOA h…