arXiv (OAI Expanded)
open access
Estimating quantum relative entropies on quantum computers
Quantum relative entropy, a quantum generalization of the renowned Kullback-Leibler divergence, serves as a fundamental measure of the distinguishability between quantum states and plays a pivotal role in quantum information science. Despite its importance, efficiently estimating quantum relative en
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
- Estimating quantum relative entropies on quantum computers#924412
- Bipartite separability of one parameter families of states using conditional quantum relative Tsallis entropy#1035233
- Entropy Estimation in Multi-Qutrit Systems via Variational and Classical Neural Networks#290567
- Criteria for unbiased estimation: applications to noise-agnostic sensing and quantum channel estimation#1116089
- Genuine multipartite Rains entanglement#799936
Record · ID 920181
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