2 papers
quant-ph2024
Enhancing the Energy Gap of Random Graph Problems via XX-catalysts in Quantum Annealing
Luca A. Nutricati, Roopayan Ghosh, Natasha Feinstein +2
One of the bottlenecks in solving combinatorial optimisation problems using quantum annealers is the emergence of exponentially-closing energy gaps between the ground state and the…
quant-ph2022
A Genetic Quantum Annealing Algorithm
Steven Abel, Luca A. Nutricati, Michael Spannowsky
A genetic algorithm (GA) is a search-based optimization technique based on the principles of Genetics and Natural Selection. We present an algorithm which enhances the classical GA…