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DOE OSTI · 3097332

Reducing Randomized Quantum Algorithm Cost [Slides]

Subasi, Yigit [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000311676527)
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Abstract

We derive the optimal sampling strategy for minimizing total resource cost in randomized quantum algorithms. Our framework is completely general, allowing for resources as diverse as gate counts circuit depth, runtime, or even dissipated energy.

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Subasi, Yigit [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000311676527). 2026-04-22. Reducing Randomized Quantum Algorithm Cost [Slides]. https://doi.org/10.2172/3097332

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