Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination
Yaroslav Koshka, M.A. Novotny

TL;DR
This study compares the effectiveness of D-Wave quantum annealing and classical simulated annealing in identifying local minima in complex energy landscapes, revealing that quantum annealing can find important minima missed by classical methods.
Contribution
It provides a detailed comparison showing that D-Wave QA can discover significant local minima that classical SA often misses, even after extensive searches.
Findings
D-Wave finds 30-50% of local minima missed by SA.
LV basin size is less critical for QA success.
QA can identify important minima with smaller basin sizes.
Abstract
Restricted Boltzmann Machines trained with different numbers of iterations were used to provide a diverse set of energy functions each containing many local valleys (LVs) with different energies, widths, escape barrier heights, etc. They were used to verify the previously reported possibility of using the D-Wave quantum annealer (QA) to find potentially important LVs in the energy functions of Ising spin glasses that may be missed by classical searches. For classical search, extensive simulated annealing (SA) was conducted to find as many LVs as possible regardless of the computational cost. SA was conducted long enough to ensure that the number of SA-found LVs approaches that and eventually significantly exceeds the number of the LVs found by a single call submitted to the D-Wave. Even after a prohibitively long SA search, as many as 30-50% of the D-Wave-found LVs remained not found by…
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Taxonomy
TopicsTheoretical and Computational Physics · Quantum many-body systems · Neural Networks and Reservoir Computing
