Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Bulletin of the American Physical Society

Experimental studies of reverse annealing of p-spin problem on D-Wave quantum annealer

Yuki Bando, Ka-Wa Yip, Hidetoshi Nishimori, Daniel A. Lidar

Published Mar 15, 2021• 0 citations
OpenAlex

Related papers

Reverse annealing for the fully connected p-spin model

秀稔 西森, Hidetoshi Nishimori, Daniel A. Lidar

•Aug 1, 2018•0 citations

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

Vrinda Mehta, Hans A. De Raedt, Kristel F. L. Michielsen +1 more

D-Wave quantum annealers offer reverse annealing as a feature allowing them to refine solutions to optimization problems. This paper investigates the influence of key parameters, such as annealing times and reversal distance, on the behavior of reverse annealing by studying models containing up to 1000 qubits. Through the analysis of theoretical models and experimental data, we explore the interplay between quantum and classical processes in describing the empirical data. Our findings provide a deeper understanding that can better equip users to fully harness the potential of the D-Wave annealers.

Physical Review A•Jan 1, 2025•0 citations

Reverse quantum annealing of the p-spin model with relaxation

秀稔 西森, Hidetoshi Nishimori

•Feb 1, 2020•0 citations

Solving Quantum Chemistry Problems with a D-Wave Quantum Annealer

Michael Streif, Florian Neukart, Martin Leib

arXiv:1811.05256•Lecture notes in computer science•Jan 1, 2019•53 citations

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

Vrinda Mehta, Hans A. De Raedt, Kristel F. L. Michielsen +1 more

D-Wave quantum annealers offer reverse annealing as a feature allowing them to refine solutions to optimization problems. This paper investigates the influence of key parameters, such as annealing times and reversal distance, on the behavior of reverse annealing by studying models containing up to 1000 qubits. Through the analysis of theoretical models and experimental data, we explore the interplay between quantum and classical processes in describing the empirical data. Our findings provide a deeper understanding that can better equip users to fully harness the potential of the D-Wave annealers.

arXiv:2502.08575•Physical Review A•Jun 12, 2025•7 citations

Optimal quantum annealing in p-spin model

Kostyantyn Kechedzhi, Vadim Smelyanskiy

Bulletin of the American Physical Society•Mar 4, 2015•0 citations
D-Wave quantum annealers offer reverse annealing as a feature allowing them to refine solutions to optimization problems. This paper investigates the influence of key parameters, such as annealing times and reversal distance, on the behavior of reverse annealing by studying models containing up to 1000 qubits. Through the analysis of theoretical models and experimental data, we explore the interplay between quantum and classical processes in describing the empirical data. Our findings provide a deeper understanding that can better equip users to fully harness the potential of the D-Wave annealers.
D-Wave quantum annealers offer reverse annealing as a feature allowing them to refine solutions to optimization problems. This paper investigates the influence of key parameters, such as annealing times and reversal distance, on the behavior of reverse annealing by studying models containing up to 1000 qubits. Through the analysis of theoretical models and experimental data, we explore the interplay between quantum and classical processes in describing the empirical data. Our findings provide a deeper understanding that can better equip users to fully harness the potential of the D-Wave annealers.