Proceedings of the National Academy of Sciences, USA.

By Severo Ochoa. 1996

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Citations in the corpus

The jamming transition as a paradigm to understand the loss landscape of deep neural networks (2018, background): “(1) as already noted for the perceptron [50], and it can be written as L(W) = 1 P ∑”
Halide‐Perovskite Resonant Nanophotonics (2018, unknown): “Strong THz emission from thin films of MAPbI3 has been observed in Ref.”
Universality of the SAT-UNSAT (jamming) threshold in non-convex continuous constraint satisfaction problems (2017, background): “Our results are also consistent with the scaling analysis of [11].”
Principal Component Analysis (2018, background): “In biology, we considered datasets regarding gene expression levels [256] and measurements of leaves [257, 258].”
Quantum control of molecular rotation (2018, methodology): “Dissociation and multiple collision processes were used for the identification of the formation of superrotors (Villeneuve et al., 2000; Yuan et al., 2011).”
Motility-driven glass and jamming transitions in biological tissues (2015, unknown): “This is strongly reminiscent of the ‘swirl’ like collective motion seen in experiment in epithelial monolayers [3, 4].”
Squeezing the collective spin of a dilute atomic ensemble by cavity feedback (2009, methodology): “Entanglement between the spin and light degrees of freedom allows a measurement performed on the light to reduce spin noise [11, 13] and produce spin squeezing conditionally, as recently demonstrated by two groups using trapped atoms [14, 15].”
Recent Developments in Non-Fermi Liquid Theory (2017, background): “This is a stable non-Fermi liquid, which exhibits chaotic dynamics[47].”
Quantum computational chemistry (2018, methodology): “As discussed in the previous section, simulation of reaction dynamics is more efficient in the first quantised representation, and without making the BornOppenheimer approximation, which necessitates costly classical precomputation [15].”
Trapped-ion quantum computing: Progress and challenges (2019, background): “At the same time, trapped ions have made greater strides in performing high-fidelity operations [22, 27] and quantum algorithms on small numbers of qubits [48, 49].”