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Quantum Annealing for Optimization Problems by soufi is a document available to read on EtoBox.

What is Quantum Annealing for Optimization Problems about?

The document is a thesis on using quantum annealing to solve optimization problems. It introduces quantum annealing as an alternative to simulated annealing for finding the optimal state of systems modeled by Ising spin glasses more quickly. Small systems are solved using differential equations while larger systems are studied using quantum Monte Carlo methods. Results show quantum annealing finds the ground state with higher probability than classical annealing for various Ising models and the traveling sa

Author

soufi

Language

EN