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Preprint Sep 2026

A polynomial-time classical sampler for noisy quantum circuits from statistical mechanics

Developing classical simulation algorithms for noisy quantum circuits is essential to delineating the limits of quantum advantage. Existing classical sampling approaches for general circuits require circuit depths to grow logarithmically with system size, so that noise drives the global output state close to a trivial...

Jon Nelson, Joel Rajakumar, Chao Yin et al. · 0 citations
Preprint Sep 2026

Digital Quantum Algorithms for Generating and Utilizing Spin Squeezed States

Spin squeezed states (SSSs) are conventionally viewed as analog resources for quantum metrology. Here we develop algorithms to efficiently generate and exploit SSSs on a digital quantum computer. We introduce an adaptive local-circuit protocol that prepares SSSs with squeezing parameter $\xi$ in depth $\mathrm{O}\left(...

Ming-Ru Yang, Ruby Wei, Chao Yin · 0 citations

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