arXiv (All)
open access
Leveraging verifiable structure in quantum circuits to find more efficient compilations with agentic AI
We discuss an effective paradigm of utilizing AI agents to better compile quantum circuits when one can constrain bottleneck subroutines to have some form of classically verifiable structure. For example, when critical subroutines are composed exclusively of reversible classical logic, phasing opera
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AlchemQ: Proof-Carrying Quantum Circuit Optimization with Per-Result Equivalence Certificates#1013761
- Factorized Boolean representations for efficient quantum synthesis#819473
- Factorized Boolean representations for efficient quantum synthesis#809477
- Why Are We Unrolling? The Importance of Structured Quantum Programs for Compilation#1110549
- Beyond QAOA: A Review of AI and Quantum Computing for Adaptive Combinatorial Optimization#1249039
Record · ID 1388199
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive