Scientific Results

Quantum state reconstruction on atom-chips

Year: 2015

Authors: Lovecchio C., Cherukattil S., Cilenti B., Herrera I., Cataliotti F.S., Montangero S., Calarco T., Caruso F.

Autors Affiliation: LENS, Università di Firenze, Via Nello Carrara 1, Sesto Fiorentino, 50019, Italy; Dipartimento di Fisica Ed Astronomia, Università di Firenze, Via Sansone 1, Sesto Fiorentino, 50019, Italy; Centre for Quantum and Optical Science, Swinburne University of Technology, Melbourne, Australia; QSTAR, Largo Enrico Fermi 2, Firenze, 50125, Italy; Institute for Complex Quantum Systems, Center for Integrated Quantum Science and Technology, University of Ulm, Albert-Einstein-Allee 11, Ulm, D-89069, Germany

Abstract: We realize on an atom-chip, a practical, experimentally undemanding, tomographic reconstruction algorithm relying on the time-resolved measurements of the atomic population distribution among atomic internal states. More specifically, we estimate both the state density matrix, as well as the dephasing noise present in our system, by assuming complete knowledge of the Hamiltonian evolution. The proposed scheme is based on routinely performed measurements and established experimental procedures, hence providing a simplified methodology for quantum technological applications.

Journal/Review: NEW JOURNAL OF PHYSICS

Volume: 17 (9)      Pages from: 093024-1  to: 093024-6

More Information: This work was supported by the Seventh Framework Programme for Research of the European Commission, under FET-Open grant MALICIA, QIBEC, SIQS, by MIUR via PRIN 2010LLKJBX, and by DFG via SFB/TRR21. The work of FC has been supported by EU FP7 Marie Curie Programme (Career Integration Grant No. 293449) and by MIUR-FIRB grant (Project No. RBFR10M3SB). We thank M Inguscio for fruitful discussions and continuous support.
KeyWords: Algorithms; Atoms; Hamiltonians; Quantum optics, Atom chips; Experimental procedure; Quantum gas; Quantum Information; Quantum state reconstruction; Technological applications; Time resolved measurement; Tomographic reconstruction algorithms, Quantum theory
DOI: 10.1088/1367-2630/17/9/093024