arXiv (All)
open access
Storage, Scrambling, and Loss of Information in Quantum Reservoir Computing
The performance of a quantum reservoir computer in temporal processing tasks depends on how its driven quantum substrate retains information about past inputs, distributes it across physical degrees of freedom, and loses it through environmental dissipation and measurement feedback. We formulate the
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
- Structural and dynamical strategies to prevent runaway excitation in reservoir computing.#613484
- Theory of the Edge-of-Chaos Advantage in Quantum Reservoir Computing#1201226
- Dissipative phase transitions in quantum reservoir computing#1034109
- Completing or Refusing Low-Dimensional Records of Structured Quantum Circuits: Measurement Loss, Compression Loss, and Hardware Drift#1070920
- Distilling Datasets into Shallow Circuits for Quantum Machine Learning#1064773
Record · ID 1217537
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