DocumentCode :
642488
Title :
A Quantum-feedforward and classical-feedback separating structure adapted with monodirectional measurements; Blind qubit uncoupling capability and links with ICA
Author :
Deville, Yannick ; Deville, Alain
Author_Institution :
IRAP, Univ. de Toulouse, Toulouse, France
fYear :
2013
fDate :
22-25 Sept. 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper deals with Blind Quantum Source Separation (BQSS). The proposed separating system only receives observed quantum states, each obtained after two quantum bits (qubits) were first independently initialized with values that this system does not know and then coupled according to a quantum operator involving parameter values that the separating system does not know a priori. This system aims at restoring the information contained in the initial qubit states. We previously tackled this problem by first converting the observed quantum state into data which have a classical (i.e. non-quantum) form and then only processing the latter data with classical means. We here propose a new approach, based on a separating system which uses quantum processing means (consisting of a specific unitary operator) in its feedforward path. Classical processing is only used in the feedback path of this system, to adapt its transfer function. The proposed adaptation method is based on binary-valued monodirectional output measurements and related to quantum disentanglement. We also analyze its relationships with classical Independent Component Analysis. We prove that this BQSS method partly restores the initial two-qubit states: it determines their components up to some phase and permutation indeterminacies.
Keywords :
blind source separation; independent component analysis; quantum computing; BQSS; BQSS method; ICA; binary-valued monodirectional output measurements; blind quantum source separation; blind qubit uncoupling capability; classical-feedback separating structure; independent component analysis; monodirectional measurements; parameter values; permutation indeterminacy; phase indeterminacy; quantum bits; quantum disentanglement; quantum operator; quantum processing; quantum-feedforward separating structure; transfer function; unitary operator; Abstracts; Couplings; Feedforward neural networks; Indexes; Source separation; Transfer functions; Vectors; Blind quantum source separation; adaptive quantum information processing; independent component analysis; machine learning; quantum bit (qubit); quantum-processing separating system; qubit uncoupling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2013 IEEE International Workshop on
Conference_Location :
Southampton
ISSN :
1551-2541
Type :
conf
DOI :
10.1109/MLSP.2013.6661954
Filename :
6661954
Link To Document :
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