Identifying nonclassicality from experimental data using artificial neural networks
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M. Bohmann | E. Agudelo | M. Bellini | A. Zavatta | Valentin Gebhart | Karsten Weiher | Nicola Biagi
[1] Gebräuchliche Fertigarzneimittel,et al. V , 1893, Therapielexikon Neurologie.
[2] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[3] E. Sudarshan. Equivalence of semiclassical and quantum mechanical descriptions of statistical light beams , 1963 .
[4] R. Glauber. Coherent and incoherent states of the radiation field , 1963 .
[5] R. Glauber,et al. Correlation Functions for Coherent Fields , 1965 .
[6] D. Walls,et al. Proposal for the measurement of the resonant Stark effect by photon correlation techniques , 1976 .
[7] H. Yuen. Two-photon coherent states of the radiation field , 1976 .
[8] L. Mandel,et al. Theory of resonance fluorescence , 1976 .
[9] L. Mandel,et al. Sub-Poissonian photon statistics in resonance fluorescence. , 1979, Optics letters.
[10] D. Walls. Squeezed states of light , 1983, Nature.
[11] L. Mandel,et al. Photon Antibunching in Resonance Fluorescence , 1977 .
[12] C. Caves,et al. A New Formalism for Two-Photon Quantum Optics , 1984 .
[13] Schumaker,et al. New formalism for two-photon quantum optics. I. Quadrature phases and squeezed states. , 1985, Physical review. A, General physics.
[14] L. Mandel. Non-Classical States of the Electromagnetic Field , 1986 .
[15] H. Carmichael. Spectrum of squeezing and photocurrent shot noise: a normally ordered treatment , 1987 .
[16] L. Mandel,et al. Photon-antibunching and sub-Poissonian photon statistics. , 1990, Physical review. A, Atomic, molecular, and optical physics.
[17] Braunstein. Homodyne statistics. , 1990, Physical review. A, Atomic, molecular, and optical physics.
[18] Beck,et al. Measurement of the Wigner distribution and the density matrix of a light mode using optical homodyne tomography: Application to squeezed states and the vacuum. , 1993, Physical review letters.
[19] Vogel,et al. Statistics of difference events in homodyne detection. , 1993, Physical review. A, Atomic, molecular, and optical physics.
[20] Walmsley,et al. Experimental determination of the quantum-mechanical state of a molecular vibrational mode using fluorescence tomography. , 1995, Physical review letters.
[21] King,et al. Experimental Determination of the Motional Quantum State of a Trapped Atom. , 1996, Physical review letters.
[22] Timothy C. Ralph,et al. Quantum information with continuous variables , 2000, Conference Digest. 2000 International Quantum Electronics Conference (Cat. No.00TH8504).
[23] V. Dodonov. REVIEW ARTICLE: `Nonclassical' states in quantum optics: a `squeezed' review of the first 75 years , 2002 .
[24] M. Bellini,et al. Quantum-to-Classical Transition with Single-Photon-Added Coherent States of Light , 2004, Science.
[25] Ruediger Schack,et al. Unknown Quantum States and Operations, a Bayesian View , 2004, quant-ph/0404156.
[26] M. Bellini,et al. Single-photon excitation of a coherent state: Catching the elementary step of stimulated light emission , 2005, quant-ph/0508094.
[27] W. Vogel,et al. Quantum Optics: VOGEL: QUANTUM OPTICS O-BK , 2006 .
[28] S. Deleglise,et al. Reconstruction of non-classical cavity field states with snapshots of their decoherence , 2008, Nature.
[29] W. Vogel,et al. Experimental determination of a nonclassical Glauber-Sudarshan P function , 2008, 0804.1016.
[30] W. Vogel,et al. Homodyne Detection and Quantum State Reconstruction , 2009, 0907.1353.
[31] A. Lvovsky,et al. Continuous-variable optical quantum-state tomography , 2009 .
[32] W. Vogel,et al. Nonclassicality filters and quasiprobabilities , 2010, 1004.0788.
[33] Alexander Hentschel,et al. Machine learning for precise quantum measurement. , 2009, Physical review letters.
[34] K. E. CAHnL. Density Operators and Quasiprobability Distributions * , 2011 .
[35] J. Eisert,et al. Directly estimating nonclassicality. , 2010, Physical review letters.
[36] W. Marsden. I and J , 2012 .
[37] J. Sperling,et al. Quasiprobabilities for multipartite quantum correlations of light , 2012, 1211.1585.
[38] V. Man'ko,et al. Single-photon-added coherent states: estimation of parameters and fidelity of the optical homodyne detection , 2013, 1301.2084.
[39] D. Cory,et al. Hamiltonian learning and certification using quantum resources. , 2013, Physical review letters.
[40] J. Sperling,et al. Resources for Quantum Technology: Nonclassicality versus Entanglement , 2014 .
[41] Seung-Woo Lee,et al. Generation of hybrid entanglement of light , 2014, Nature Photonics.
[42] Easwar Magesan,et al. Machine Learning for Discriminating Quantum Measurement Trajectories and Improving Readout. , 2014, Physical review letters.
[43] J. Sperling,et al. Continuous sampling of the squeezed-state nonclassicality , 2014, 1411.6869.
[44] M. Plenio,et al. Converting Nonclassicality into Entanglement. , 2015, Physical review letters.
[45] A. Zeilinger,et al. Automated Search for new Quantum Experiments. , 2015, Physical review letters.
[46] S. Huber,et al. Learning phase transitions by confusion , 2016, Nature Physics.
[47] M. Plenio,et al. Colloquium: quantum coherence as a resource , 2016, 1609.02439.
[48] Matthias Troyer,et al. Solving the quantum many-body problem with artificial neural networks , 2016, Science.
[49] R. Sarpong,et al. Bio-inspired synthesis of xishacorenes A, B, and C, and a new congener from fuscol† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c9sc02572c , 2019, Chemical science.
[50] Hans-J. Briegel,et al. Machine learning \& artificial intelligence in the quantum domain , 2017, ArXiv.
[51] Matthias Troyer,et al. Neural-network quantum state tomography , 2018 .
[52] Nathan Wiebe,et al. Experimental Phase Estimation Enhanced By Machine Learning , 2017, Physical Review Applied.
[53] Florian Marquardt,et al. Reinforcement Learning with Neural Networks for Quantum Feedback , 2018, Physical Review X.
[54] I. Walmsley,et al. Quasiprobability representation of quantum coherence , 2018, Physical Review A.
[55] Pankaj Mehta,et al. Reinforcement Learning in Different Phases of Quantum Control , 2017, Physical Review X.
[56] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[57] Nicolai Friis,et al. Optimizing Quantum Error Correction Codes with Reinforcement Learning , 2018, Quantum.
[58] A. Lvovsky. Squeezed Light , 2014, A Guide to Experiments in Quantum Optics.
[59] W. Hager,et al. and s , 2019, Shallow Water Hydraulics.
[60] Rafael Chaves,et al. Machine Learning Nonlocal Correlations. , 2018, Physical review letters.
[61] Fabio Sciarrino,et al. Calibration of Quantum Sensors by Neural Networks. , 2019, Physical review letters.
[62] Nathan Wiebe,et al. Pattern recognition techniques for Boson Sampling validation , 2017, Physical Review X.
[63] J. Sperling,et al. Probing nonclassicality with matrices of phase-space distributions , 2020, Quantum.
[64] M. Bohmann,et al. Phase-Space Inequalities Beyond Negativities. , 2019, Physical review letters.
[65] M. Barbieri,et al. Neural Networks for Detecting Multimode Wigner Negativity. , 2020, Physical review letters.
[66] M. Bohmann,et al. Neural-network approach for identifying nonclassicality from click-counting data , 2020, Physical Review Research.
[67] A. K. Fedorov,et al. Experimental quantum homodyne tomography via machine learning , 2019, Optica.
[68] Shahnawaz Ahmed,et al. Classification and reconstruction of optical quantum states with deep neural networks , 2020, Physical Review Research.
[69] Augusto Smerzi,et al. A machine learning approach to Bayesian parameter estimation , 2020, npj Quantum Information.
[70] Martin Bohmann,et al. Experimental Certification of Nonclassicality via Phase-Space Inequalities. , 2020, Physical review letters.