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Quantum annealers as programmable thermal machines
Jakub Pawłowski, Tomasz Śmierzchalski, Fengping Jin +3
Programmable quantum annealers are used for optimization, probabilistic sampling, and simulation, but their performance is commonly reported without the energy exchanged during com…
Simulated Bifurcation Quantum Annealing
Jakub Pawłowski, Paweł Tarasiuk, Jan Tuziemski +2
We introduce Simulated Bifurcation Quantum Annealing (SBQA), a quantum-inspired optimization algorithm that extends simulated bifurcation by incorporating inter-replica interaction…
Quantum-inspired dynamical models on quantum and classical annealers
Philipp Hanussek, Jakub Pawłowski, Zakaria Mzaouali +1
We propose a practical, physics-inspired benchmarking suite to challenge both quantum and classical computers by mapping real-time quantum dynamics to a common optimization format.…
Hybrid quantum-classical computation for automatic guided vehicles scheduling
Tomasz Śmierzchalski, Jakub Pawłowski, Artur Przybysz +6
Motivated by recent efforts to develop quantum computing for practical, industrial-scale challenges, we demonstrate the effectiveness of state-of-the-art hybrid (not necessarily qu…