Discriminating quantum states: the multiple Chernoff distance
Ke Li

TL;DR
This paper proves that the error exponent for discriminating multiple quantum states is equal to the minimum pairwise quantum Chernoff distance, solving a long-standing open problem in quantum hypothesis testing.
Contribution
It establishes the exact error exponent for multiple quantum hypothesis testing as the minimum pairwise Chernoff distance, confirming a conjecture by Nussbaum and Szkoła.
Findings
Proved the conjecture that the error exponent equals the minimum pairwise Chernoff distance.
Developed a new upper bound for the average error probability in quantum state discrimination.
Provided an alternative proof for the binary quantum Chernoff distance's achievability.
Abstract
We consider the problem of testing multiple quantum hypotheses , where an arbitrary prior distribution is given and each of the hypotheses is copies of a quantum state. It is known that the average error probability decays exponentially to zero, that is, . However, this error exponent is generally unknown, except for the case that . In this paper, we solve the long-standing open problem of identifying the above error exponent, by proving Nussbaum and Szko\l a's conjecture that . The right-hand side of this equality is called the multiple quantum Chernoff distance, and has been previously identified as the optimal error exponent for testing two hypotheses,…
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