aiqbench analysis
This study highlights the persistent gap between marketing claims of quantum supremacy and practical classical simulation capabilities, specifically demonstrating how tensor networks can replicate D-Wave's outputs on specific spin glass problems without requiring actual qubits. The ensuing debate underscores that current "quantum advantage" assertions in annealing are increasingly vulnerable to sophisticated algorithmic compression rather than fundamental hardware breakthroughs.
D - Wave Said Classical Computers Could Not Match Its Quantum Chip . A Laptop Just Did .

A personal laptop running open-source software has matched the outputs of D-Wave Systems' 5,000-qubit Advantage2 quantum annealer on a class of quantum dynamics problems the company stated in March 2025 were beyond the reach of any classical computer. Researchers at the Center for Computational Quantum Physics at the Simons Foundation's Flatiron Institute, working with Boston University collaborators, published their findings in Science, showing that a mathematical compression framework called tensor networks — combined with a message-passing inference algorithm first developed in 1982 — can reproduce D-Wave's results without quantum hardware. D-Wave has issued a formal rebuttal disputing that the classical method reproduces its full result, arguing that the hardest problem instances and highest-order physical measurements remain beyond what the classical approach can reach. The result adds a new episode to a running pattern in quantum computing: claims of beyond-classical performance, followed by classical simulation advances that close the gap — or dispute where the gap lies. In March 2025, a large collaboration anchored at D-Wave published a paper in Science reporting that the company's Advantage2 processor — a quantum annealing machine operating at near absolute zero — had simulated the non-equilibrium dynamics of a magnetic spin glass system faster and…
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