Randomized sparse-QSVT reduces gate counts by up to 10x for inhomogeneous many-term Hamiltonians at moderate error (around 10^{-3}), but deterministic QSVT becomes cheaper for higher precision.
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2026 2verdicts
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NuQuLib maps realistic nuclear Hamiltonians to qubit Hamiltonians and compares T-gate costs of QPE, QKrylov, and ODMD across valence and no-core model spaces.
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When is randomization advantageous in quantum simulation?
Randomized sparse-QSVT reduces gate counts by up to 10x for inhomogeneous many-term Hamiltonians at moderate error (around 10^{-3}), but deterministic QSVT becomes cheaper for higher precision.
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Nuclear Many-Body Systems as Benchmarks for Quantum Computing
NuQuLib maps realistic nuclear Hamiltonians to qubit Hamiltonians and compares T-gate costs of QPE, QKrylov, and ODMD across valence and no-core model spaces.