Equation-of-state accuracy ε is proposed as a QA fidelity metric; classical QMC benchmarks reach 10^8 Rydberg atoms at ε ~ 10^{-2}–10^{-4}, outperforming estimated experimental platforms.
How "Quantum" is the D-Wave Machine?
3 Pith papers cite this work, alongside 91 external citations. Polarity classification is still indexing.
3
Pith papers citing it
91
external citations · Pith
abstract
Recently there has been intense interest in claims about the performance of the D-Wave machine. In this paper, we outline a simple classical model, and show that it achieves excellent correlation with published input-output behavior of the D-Wave One machine on 108 qubits. While raising questions about "how quantum" the D-Wave machine is, the new model also provides additional algorithmic insights into the nature of the native computational problem solved by the D-Wave machine.
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 3years
2026 3roles
background 1polarities
background 1representative citing papers
Quantum annealing is described as a heuristic for discrete optimization and sampling that also serves as a platform for studying non-equilibrium many-body quantum dynamics with programmable spin systems.
citing papers explorer
-
A fidelity metric for quantum annealing benchmarked by extreme scaling quantum Monte-Carlo simulations
Equation-of-state accuracy ε is proposed as a QA fidelity metric; classical QMC benchmarks reach 10^8 Rydberg atoms at ε ~ 10^{-2}–10^{-4}, outperforming estimated experimental platforms.
-
Quantum Annealing: Optimisation, Sampling, and Many-Body Dynamics
Quantum annealing is described as a heuristic for discrete optimization and sampling that also serves as a platform for studying non-equilibrium many-body quantum dynamics with programmable spin systems.
- Schedule-dependent basin occupation and instance-specific effective scales in cycled reverse annealing on programmable quantum annealers