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LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams

Paper recorded by Signals 4 on 2026-09-04 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07

Category: cs.AI · 人工智能 · first seen 2026-09-07

Abstract

Quantum circuits are central to implementing quantum algorithms on quantum devices, where quantum gates must be reversible. Many quantum algorithms rely on Boolean functions, which must therefore be implemented reversibly within quantum circuits. Reversible circuit synthesis provides a way to translate such Boolean functions into reversible circuits. Binary decision diagrams (BDDs) offer a scalabl

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#177 most recent of 300 cs.AI papers we have recorded · ↑ newer: Technical Manual for a Toolkit for Measuring Contextual Individuation · ↓ older: RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Task
Cite this page: LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams: the #177 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/llm-driven-algorithm-design-for-quantum-circuit-synthesis-based-on-binary-decisi.html
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