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20032017
most citedReduction Theorems for Optimal Unambiguous State Discrimination of Density Matrices

80 citations · 286 across the 11 of their papers we have counts for

collaborators

12 papers

quant-ph2017★ 8 cited

Simple derivation of the Weyl and Dirac quantum cellular automata

Philippe Raynal

We consider quantum cellular automata on a body-centred cubic lattice and provide a simple derivation of the only two homogenous, local, isotropic, and unitary two-dimensional auto…

quant-ph2015

Optimality of entropic uncertainty relations

Kais Abdelkhalek, René Schwonnek, Hans Maassen +5

The entropic uncertainty relation proven by Maassen and Uffink for arbitrary pairs of two observables is known to be non-optimal. Here, we call an uncertainty relation optimal, if…

quant-ph2012

Mutually unbiased bases for the rotor degree of freedom

Xin Lü, Philippe Raynal, Berthold-Georg Englert

We consider the existence of a continuous set of mutually unbiased bases for the continuous and periodic degree of freedom that describes motion on a circle (rotor degree of freedo…

quant-ph2011★ 73 cited

Mutually unbiased bases in dimension six: The four most distant bases

Philippe Raynal, Xin Lü, Berthold-Georg Englert

We consider the average distance between four bases in dimension six. The distance between two orthonormal bases vanishes when the bases are the same, and the distance reaches its…

quant-ph2010★ 21 cited

Encoding many qubits in a rotor

Amir Kalev, Philippe Raynal, Jun Suzuki +1

We propose a scheme for encoding many qubits in a single rotor, that is, a continuous and periodic degree of freedom. A key feature of this scheme is its ability to manipulate and…

quant-ph2009★ 5 cited

Optimal Lewenstein-Sanpera decomposition of two-qubit states using Semidefinite Programming

Guo Chuan Thiang, Philippe Raynal, Berthold-Georg Englert

We use the language of semidefinite programming and duality to derive necessary and sufficient conditions for the optimal Lewenstein-Sanpera Decomposition (LSD) of 2-qubit states.…