arXiv (All)
open access
Two-Stage Quantum-Classical Distribution Network Reconfiguration via Cycle-Edge Encoding
Distribution network reconfiguration (DNR) is a combinatorial optimization problem that seeks a low-loss network topology subject to topological and electrical operating constraints. In this work, we propose a two-stage quantum-classical method for DNR. First, an iterative linear-ramp Quantum Altern
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
- A Code-Agnostic Graph Neural Network Decoder from the Detection Error Model#1156954
- From graphs to qubits: a critical review of quantum graph neural networks#680860
- Flexible Qubit Allocation of Network Resource States#1076761
- Benchmarking Variational Quantum Algorithms for Combinatorial Optimization in Practice#139085
- Classical simulation of noisy quantum circuits via locally entanglement-optimal unravelings#684249
Record · ID 1154525
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