19 citations · 19 across the 8 of their papers we have counts for
8 papers
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…
Q-PIPE: A Practical Quantum Phase Encoding Method
Brian García Sarmina, Emmanuel Martínez-Guerrero, Janeth De Anda Gil +2
Efficient loading of classical data into quantum states remains a central bottleneck of quantum computing. We propose Quantum-Gray Phase Injection for Pixel Encoding (Q-PIPE), whic…
Phase Transitions, Geodesic Structure, and Thermodynamic Properties Measurement of Einstein-Maxwell-Power Yang-Mills Black Hole Models
Abdelmalek Bouzenada, Allan. R. P. Moreira, Shi-Hai Dong +2
In this work, we test the geometrical structure and thermodynamic properties of the Einstein-Maxwell-Power-Yang-Mills black hole (BH) models, which constitute a nonlinear generaliz…
Thermal Behavior of Generalized Black-Bounce Black Hole Model
Allan R. P. Moreira, Abdelmalek Bouzenada, Shi-Hai Dong +2
In this work, we tested the thermal behavior of a class of regular black hole solutions defined as generalized black-bounce spacetimes. We introduce several novel configurations go…
Thermodynamics of BTZ-type charged black holes in Bopp Podolsky electrodynamics
Allan. R. P. Moreira, Abdelmalek Bouzenada, Guo-Hua Sun +1
We tested the thermodynamic properties of charged BTZ-type black holes (BHs) in the framework of Bopp Podolsky electrodynamics, a higher derivative extension of Maxwells theory tha…
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…
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…
PCA and t-SNE analysis in the study of QAOA entangled and non-entangled mixing operators
Brian García Sarmina, Guo-Hua Sun, Shi-Hai Dong
In this paper, we employ PCA and t-SNE analysis to gain deeper insights into the behavior of entangled and non-entangled mixing operators within the Quantum Approximate Optimizatio…