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the claim
D-Wave quantum computers solve optimization problems via quantum annealing
the verdict
SUPPORTED
the evidence backs this
confidence 85/100

D-Wave quantum computers are specifically designed to solve combinatorial optimization problems using quantum annealing by mapping problems into QUBO or Ising formulations.

Evidence for · 6
Comparing three generations of D-Wave quantum annealers for minor embedded combinatorial optimization problems
2023 · cited by 39
Compares multiple generations of D-Wave quantum annealers for solving discrete combinatorial optimization problems.
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More for · 5
Optimal Solving of a Scheduling Problem Using Quantum Annealing Metaheuristics on the D-Wave Quantum Solver
2025 · cited by 15
Examines task scheduling problems solved using quantum annealing metaheuristics on the D-Wave quantum solver.
Quantum optimization algorithm for solving elliptic boundary value problems on D-Wave quantum annealing device
2023 · cited by 10
Discusses how D-Wave quantum annealing devices solve optimization problems formulated as QUBO models.
Unraveling reverse annealing: A study of D-wave quantum annealers
2025 · cited by 10
Explores D-Wave quantum annealers and their features like reverse annealing for refining optimization solutions.
Using Quantum Annealing to Solve Large-Scale Optimization Problems in Logistics and Scheduling
2025 · cited by 1
Demonstrates the use of the D-Wave quantum annealer to solve large-scale logistics and scheduling optimization problems via QUBO.
Quantum Optimization Realized: Quantum Annealing for Combinatorial Spatial Problems in Practice
2025 · cited by 0
Summarizes D-Wave's quantum annealing technology specializing in solving combinatorial optimization problems in practice.
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first checked01 Aug 2026
judged → SUPPORTED · 8501 Aug 2026
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