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Unraveling reverse annealing: A study of D-Wave quantum annealers

Vrinda Mehta1, Hans De Raedt1, Kristel Michielsen1,2,3, and Fengping Jin1

Quantum-inspired dynamical models on quantum and classical annealers

Philipp Hanussek, Jakub Pawłowski, Zakaria Mzaouali, and Bartłomiej Gardas

Phys. Rev. Applied 25 044055 (2026)

Comparing quantum to simulated reverse annealing in mean-field models

Christopher L. Baldwin

Phys. Rev. A 114 022422 (2026)

Robustness of adiabatic reverse annealing to low-temperature decoherence

An Le and Christopher Baldwin

Phys. Rev. A 114 052419 (2026)

Benchmark study of simulated quantum annealing and asynchronous parallel simulated annealing for quadratic unconstrained binary optimization-based semiprime factorization

Gianbiagio Curato, Manuel Ponzi, Edoardo Chiatello, and Roberto Giorgetti

APS Open Sci. 1 000067 (2026)

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Andrejs Tučs, Ryo Tamura, and Koji Tsuda

adv. intell. discov. e202500231 (2026)

No title available

Wojciech Bożejko, Filip Górajewski, Yana Baloshenko, Oskar Siemieniuk, and Jarosław Wielgus

Understanding the physics of D-Wave annealers: From Schrödinger to Lindblad to Markovian dynamics

Vrinda Mehta, Hans De Raedt, Kristel Michielsen, and Fengping Jin

Phys. Rev. A 112 032616 (2025)

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