On quantum detection and the square-root measurement
IEEE Transactions on Information Theory
A semidefinite programming approach to optimal unambiguous discrimination of quantum states
IEEE Transactions on Information Theory
Designing optimal quantum detectors via semidefinite programming
IEEE Transactions on Information Theory
Optimal detection of symmetric mixed quantum states
IEEE Transactions on Information Theory
Some bounds on the minimum number of queries required for quantum channel perfect discrimination
Quantum Information & Computation
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The intrinsic idea of superdense coding is to find as many gates as possible such thatthey can be perfectly discriminated. In this paper, we consider a basic scheme of dis-crimination of quantum gates, called ancilla-assisted discrimination, in which a set ofquantum gates on a d-dimensional system are perfectly discriminated with assistancefrom an r-dimensional ancilla system. The main contribution of the present paper istwo-fold: (1) The number of quantum gates that can be discriminated in this scheme isevaluated. We prove that any rd + 1 quantum gates cannot be perfectly discriminatedwith assistance from the ancilla, and there exist rd quantum gates which can be perfectlydiscriminated with assistance from the ancilla. (2) The dimensionality of the minimalancilla system is estimated. We prove that there exists a constant positive number c suchthat for any k ≤ cr quantum gates, if they are d-assisted discriminable, then they arealso r-assisted discriminable, and there are c'r (c' c) different quantum gates whichcan be discriminated with a d-dimensional ancilla, but they cannot be discriminated ifthe ancilla is reduced to an r-dimensional system. Thus, the order O(r) of the numberof quantum gates that can be discriminated with assistance from an r-dimensional an-cilla is optimal. The results reported in this paper represent a preliminary step towardunderstanding the role ancilla system plays in discrimination of quantum gates as wellas the power and limit of superdense coding.