Dimension-free one-shot bounds for multiple quantum state discrimination with sharp asymptotics
Scanned 9/11/2026
Install to Claude Code
npx -y skills add hiyenwong/ai_collection --skill multiple-quantum-hypothesis-testing --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Multiple Quantum Hypothesis Testing?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/hiyenwong-multiple-quantum-hypothesis-testing)More formats (shields.io, HTML) on the badges page.
---
name: multiple-quantum-hypothesis-testing
description: Dimension-free one-shot bounds for multiple quantum state discrimination with sharp asymptotics
category: quantum
---
# Multiple Quantum Hypothesis Testing
## Methodology
Bayesian discrimination among multiple quantum states using dimension-free one-shot upper bounds on minimum probability of error.
## Key Insights
1. **Dimension-free bound**: Upper bound on error probability in terms of sum of pairwise errors, resolving Audenaert-Mosonyi conjecture
2. **Chernoff bound improvement**: Improves multiple quantum Chernoff bound by removing dimension-dependent prefactor
3. **Infinite-dimensional case**: Proves achievability of multiple quantum Chernoff distance for arbitrary separable Hilbert spaces
4. **Binary case characterization**: Minimum error probability characterized by trace harmonic-mean quantity, within factor 2 of optimal classical error
## Mathematical Framework
- Pairwise error decomposition for multi-state discrimination
- Trace harmonic-mean for binary quantum hypothesis testing
- Nussbaum-Szkoła distributions for classical-quantum correspondence
## Activation
hypothesis testing, quantum state discrimination, Chernoff bound, Bayesian, error bounds
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
This skill provides comprehensive analysis of competitor SEO and GEO strategies, revealing what's working in your market and identifying opportunities to outperform the competition.
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...
Use when an operation issue is a Paperclip cursor-window, distill, or backfill — `operationType: "distill"` or `"backfill"` and the body references a Paperclip source bundle for a project or root issue. Turn raw Paperclip activity into a wiki-insightful project page, decisions log, and history note. This skill exists specifically to replace the stiff, datestamp-heavy templated output that the deterministic distiller produces.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publi...
Semantic search, similar content discovery, and structured research using Exa API