DocumentCode :
3419696
Title :
Maximum likelihood blind separation of two quantum states (qubits) with cylindrical-symmetry Heisenberg spin coupling
Author :
Deville, Yannick ; Deville, Alain
Author_Institution :
Obs. Midi-Pyrenees - CNRS, Univ. Paul Sabatier, Toulouse
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
3497
Lastpage :
3500
Abstract :
Blind source separation (BSS) and quantum information processing (QIP) are two recent and rapidly evolving fields. No connection has ever been made between them to our knowledge, except in our initial paper, However, future practical QIP systems will probably involve "observed mixtures", in the BSS sense, of quantum states (qubits), e.g. associated to coupled spins. We here investigate how individual qubits may be retrieved from cylindrical-symmetry Heisenberg-coupled versions of them, and we show the relationship between this problem and classical BSS. We thus introduce a new nonlinear mixture model for qubits, motivated by actual quantum physical devices. We analyze the invertibility and ambiguities of this model. We propose practical data processing methods for (i) estimating the mixing parameter with a maximum likelihood approach and (ii) performing inversion to retrieve the sources. This yields a major extension as compared to our previous paper, not only in terms of considered spin coupling model, but also because we here introduce a much more powerful mixture estimation procedure.
Keywords :
blind source separation; maximum likelihood estimation; BSS; cylindrical-symmetry Heisenberg spin coupling; data processing methods; maximum likelihood blind separation; nonlinear mixture model; quantum information processing; quantum states; Antenna measurements; Blind source separation; Data processing; Information processing; Information retrieval; Maximum likelihood estimation; Parameter estimation; Quadratic programming; Source separation; Yield estimation; blind source separation; maximum likelihood estimation; quantum information processing; qubits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4518405
Filename :
4518405
Link To Document :
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