arXiv (All)
open access
The optimal search on graph by continuous-time quantum walks
Chakraborty and Leonardo have shown that a spatial search by quantum walk is optimal for almost all graphs. However, we observed that on some graphs, certain states cannot be searched optimally. We present a method for constructing an optimal graph that searches an arbitrary state and provides the o
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
- Sampled-Based Guided Quantum Walk: Non-variational quantum algorithm for combinatorial optimization#1156210
- Simplification Rules for Continuous-Time Quantum Walks on Dynamic Graphs#1012645
- Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era#792704
- Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era#788704
- Optimal Quantum Algorithms for Ordered Search#1119366
Record · ID 821630
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