Deutsche Nationalbibliothek
metadata only
Algorithms and computational complexity in quantum simulation and quantum machine learning / Bernhard Jobst ; Gutachter: Frank Pollmann, Peter Rabl ; Betreuer: Frank Pollmann
Dissertation, München, Technische Universität München, 2026
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
- Accelerating Quantum Dense-Output Simulation through Locality#1154363
- Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning.#489510
- Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators.#489519
- When Quantum Meets AI: Quantum Methods for Machine Learning and Machine Learning Methods for Quantum Systems#1061278
- Learning parameter curves in feedback-based quantum optimization algorithms#1144750
Record · ID 1145471
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