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Discovering state-of-the-art quantum circuits with large language models

Paper recorded by Signals 4 on 2026-10-15 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.AI · 人工智能 · first seen 2026-10-16

Abstract

Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the development of efficient quantum algorithms. While for many practical problems the dominant resource costs are associated with a small set of computational primitives, optimizing them in the quantum setting presents uniqu

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#282 most recent of 960 cs.AI papers we have recorded · ↑ newer: LIBERO-PeRM: Benchmarking Personalized Robotic Manipulation · ↓ older: T2-z: Test-Time Optimization of Environment Latents for Robotic World
Cite this page: Discovering state-of-the-art quantum circuits with large language models: the #282 most recent of 960 cs.AI papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/discovering-state-of-the-art-quantum-circuits-with-large-language-models.html
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