Quantum information with continuous variables of atoms and light

By Nicolas J. Cerf, Gerd Leuchs, Eugene Simon Polzik. 2007

415 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/554c0028259906abebfe500435763808dd4490ae

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In Atomic and Molecular Physics, and Optics

In Molecular Biology

Citations in the corpus

Enhancing quantum entanglement by photon addition and subtraction (2012, background): “Quantum information processing with Gaussian continuous variables is a well-established subﬁeld of quantum information sciences today, see e.g. [1–3].”
Entanglement in continuous-variable systems: recent advances and current perspectives (2007, background): “ntanglement in quantum information and computation, and on overview on open problems and current research directions. 2. Introduction to continuous variable systems. A continuous variable (CV) system [1, 2, 3] of N canonical bosonic modes is described by a Hilbert space H = NN k=1 Hk resulting from ”
Entanglement of two-mode Gaussian states: characterization and experimental production and manipulation (2005, positive): “For these goals, continuous variables (CV) of the electromagnetic ﬁeld have emerged as a powerful tool [1, 2, 3].”
Continuous Variable Quantum Information: Gaussian States and Beyond (2014, background): “This contribution absolutely does not strive to provide a comprehensive coverage of the field, but is more oriented towards a didactic exposition of some basic concepts which may be overlooked in denser review articles, and a teaser of future perspectives and currently open problems.”
Performance and structure of single-mode bosonic codes (2017, background): “The recovery is based on the idea that, after ﬁne-tuning some of the channel parameters, pure loss + ampliﬁcation = Gaussian noise , where Gaussian noise corresponds to uniform diﬀusion in phase space and its channel has displacements for its Kraus operators ([2], Sec.”
Quantum Stochastic Processes and Quantum non-Markovian Phenomena (2020, background): “Note, that we stick to discrete level systems and do not touch the topics of Gaussian quantum information [81, 82].”
Quantifying non-Gaussianity for quantum information (2010, background): “Another quantity that is known to be maximized, at fixed covariance matrix, by Gaussian states is the conditional entropy [108].”
Irreversible entropy production: From classical to quantum (2020, background): “They play a crucial role in quantum optics and quantum information processing as important resources for quantum communication protocols (Braunstein and van Loock, 2005; Cerf et al., 2007; Serafini, 2017) and representations for the ground or thermal equilibrium states of linear systems.”
Gaussian quantum information (2011, background): “ review article by Braunstein and van Loock (2005). Furthermore, there is also the recent review by Andersen et al. (2010) as well as two edited books on the subject by Braunstein and Pati (2003) and Cerf et al. (2007). On Gaussian quantum information speciﬁcally there is the review article by Wang ”