Statistical quality assessment of Ising-based annealer outputs

DOI10.1007/s11128-022-03623-5OpenAlexW4291274553MaRDI QIDQ2101593

Zbigniew Puchała, Mátyás Koniorczyk, Krzysztof Domino

Publication date: 6 December 2022

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2112.03602

zbMATH Keywords

cumulantsenergy spectrumquantum annealingquality assessmentIsing solver

Mathematics Subject Classification ID

Quantum computation (81P68) Lattice systems (Ising, dimer, Potts, etc.) and systems on graphs arising in equilibrium statistical mechanics (82B20)

Uses Software

• ismev
• bootstrap
• GitHub

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Staff scheduling and rostering: a review of applications, methods and models.
• Approximating quadratic programming with bound and quadratic constraints
• Unconstrained binary models of the travelling salesman problem variants for quantum optimization
• Benchmarking advantage and D-wave 2000Q quantum annealers with exact cover problems
• Benchmarking the quantum approximate optimization algorithm
• Decoherence, einselection, and the quantum origins of the classical
• Reflections on fifty years of operational research
• L’algebre de Boole et ses applications en recherche operationnelle
• Semidefinite relaxation and nonconvex quadratic optimization
• Skepticism of quantum computing
• Quantum bridge analytics. I: A tutorial on formulating and using QUBO models
• An introduction to statistical modeling of extreme values

This page was built for publication: Statistical quality assessment of Ising-based annealer outputs