The mixture-sequential quantum probability ratio test achieves optimal Type-I and worst-case Type-II error exponents in composite sequential quantum hypothesis testing, characterized by minimal measured relative entropies, with a matching converse.
Worst-case quantum hy- pothesis testing with separable measurements
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Matching upper and lower bounds characterize the sample complexity of symmetric composite binary quantum hypothesis testing up to universal constants for both finite and infinite uncertainty sets.
citing papers explorer
-
Optimal Error Exponents for Composite Sequential Quantum Hypothesis Testing
The mixture-sequential quantum probability ratio test achieves optimal Type-I and worst-case Type-II error exponents in composite sequential quantum hypothesis testing, characterized by minimal measured relative entropies, with a matching converse.
-
Sample Complexity of Composite Quantum Hypothesis Testing
Matching upper and lower bounds characterize the sample complexity of symmetric composite binary quantum hypothesis testing up to universal constants for both finite and infinite uncertainty sets.