4 papers
RFOX (Rotated-Field Oscillatory eXchange) quantum algorithm: Towards Parameter-Free Quantum Optimizers
Brian GarcÃa 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…
Exploring Entanglement and Parameter Sensitivity in QAOA through Quantum Fisher Information
Brian GarcÃa 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…
Q-PIPE A Practical Quantum Phase Encoding Method
Brian GarcÃa Sarmina, Emmanuel MartÃnez-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…
Parameter optimization comparison in QAOA using Stochastic Hill Climbing with Random Re-starts and Local Search with entangled and non-entangled mixing operators
Brian GarcÃa 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…