arXiv (All)
open access
Higher-order Parity Constraints for Quantum Approximate Optimization
The Parity Architecture was originally introduced in the context of quantum optimization algorithms to overcome hardware connectivity constraints. Here, we show that its benefits extend beyond this role by identifying specific parity transformations that enhance the success probability of the Quantu
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
- Solving computational tasks using quantum computing — Accenture Global Solutions Limited (US11250334B2)#607103
- Quantum computing machine learning module — Accenture Global Solutions Limited (US11803772B2)#607109
- Quantum-Inspired Algorithms beyond Unitary Circuits: the Laplace Transform#927218
- Discovering New Problems for Decoded Quantum Interferometry#1215839
- GreenPeas: Unlocking Adaptive Quantum Error Correction with Just-in-Time Decoding Hypergraphs#120490
Record · ID 1401551
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