A model of quantum noisy channel with input encoding by a classical random vector is described. An equation of optimality is derived to de-termine a complete set of wave functions describing quantum decodings based on quasi-measurements maximizing the classical amount of trans-mitted information. A solution of this equation is found for the Gaussian multimode case with input Gaussian distribution. It is described by the overcomplete family of coherent vectors describing an optimal quasimea-surement of the canonical annihilation amplitudes in the output Hilbert space. It is found that the optimal decoding in this case realizes the maxi-mum amount I = Sp l
We prove that a general upper bound on the maximal mutual information of quantum channels is saturat...
Optimization methods aimed at estimating the capacities of a general Gaussian channel are developed....
Quantum states can be used to encode the information contained in a direction, i.e., in a unit vecto...
A model of quantum noisy channel with input encoding by a classical random vector is described. An e...
The necessary and sufficient conditions of optimality of the decoding of quantum signals minimizing ...
We explore the open problem of the most efficient way to communicate classical data across quantum c...
In this thesis we study the information transmission through Gaussian quantum channels. Gaussian qua...
We study the transmission of classical information via optical Gaussian channels with a classical ad...
Network information theory is the study of communication problems involving multiple senders, multip...
Accurate manipulations of an open quantum system require a deep knowledge of its controllability pro...
We present an algorithm for calculation of the Gaussian classical capacity of a quantum bosonic memo...
We provide a solution for the most general setting of information processing in the quantum Shannon-...
Quantum communication theory explores the implications of quantum mechanics to the tasks of informat...
We survey the state of the art for the proof of the quantum Gaussian optimizer conjectures of quantu...
Abstract. We investigate super dense coding in the presence of noise, i.e., the subsystems of the en...
We prove that a general upper bound on the maximal mutual information of quantum channels is saturat...
Optimization methods aimed at estimating the capacities of a general Gaussian channel are developed....
Quantum states can be used to encode the information contained in a direction, i.e., in a unit vecto...
A model of quantum noisy channel with input encoding by a classical random vector is described. An e...
The necessary and sufficient conditions of optimality of the decoding of quantum signals minimizing ...
We explore the open problem of the most efficient way to communicate classical data across quantum c...
In this thesis we study the information transmission through Gaussian quantum channels. Gaussian qua...
We study the transmission of classical information via optical Gaussian channels with a classical ad...
Network information theory is the study of communication problems involving multiple senders, multip...
Accurate manipulations of an open quantum system require a deep knowledge of its controllability pro...
We present an algorithm for calculation of the Gaussian classical capacity of a quantum bosonic memo...
We provide a solution for the most general setting of information processing in the quantum Shannon-...
Quantum communication theory explores the implications of quantum mechanics to the tasks of informat...
We survey the state of the art for the proof of the quantum Gaussian optimizer conjectures of quantu...
Abstract. We investigate super dense coding in the presence of noise, i.e., the subsystems of the en...
We prove that a general upper bound on the maximal mutual information of quantum channels is saturat...
Optimization methods aimed at estimating the capacities of a general Gaussian channel are developed....
Quantum states can be used to encode the information contained in a direction, i.e., in a unit vecto...