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Quantum telescopes
Quantum telescopes

... the possibilities quantum physics offers for a new generation of telescopes. ...
THE PRIMARY PHENOMENOLOGICAL SYMBOLIC PROCESS OF
THE PRIMARY PHENOMENOLOGICAL SYMBOLIC PROCESS OF

... Here H is the Hamiltonian of the (’’immediate’’) environment, H’ is that of the proto– vesicule, ● is the tensor product, according to Primas’ analysis. H + H’ will be referred to below as Htotal, ’’+’’ being the direct sum. t * arises as the internalization of the t* > 0 constituents of the complet ...
Information Theory and Machine Learning
Information Theory and Machine Learning

Acoustic Analog to Quantum Mechanical Level Splitting
Acoustic Analog to Quantum Mechanical Level Splitting

Computational complexity in electronic structure PERSPECTIVE
Computational complexity in electronic structure PERSPECTIVE

Quantum-Secure Message Authentication Codes
Quantum-Secure Message Authentication Codes

... as the polynomial method [BBC+ 01] and the adversary method [Amb00, Aar02, Amb06, ASdW09] do not give the result we need. One difficulty with existing lower bound techniques is that they generally prove asymptotic bounds on the number of queries required to solve a problem with high probability. How ...
950 - IACR
950 - IACR

... be useful only for a limited time: currently, we may assume a small limit on the adversary’s quantum memory. Should quantum technology advance, though, quantum memory might become cheap, and at that point BQSM protocols must not be used any more. In contrast, with everlasting security as in this pap ...
Stochastic Schrödinger equations
Stochastic Schrödinger equations

Quantum Field Theory and Coalgebraic Logic in Theoretical
Quantum Field Theory and Coalgebraic Logic in Theoretical

... These neurophysiological studies suggest that the DDF based on a coalgebraic modeling of open systems in QFT could be, in computer science, an effective possible solution of the problem, so-called of “deep learning”, arising with “big-data” modeling and, overall, in dealing with an effective computa ...
Quantum effects in chemistry - Fritz Haber Center for Molecular
Quantum effects in chemistry - Fritz Haber Center for Molecular

Unifying Model for Several Classes of Two-Dimensional Phase Transition Yonatan Dubi,
Unifying Model for Several Classes of Two-Dimensional Phase Transition Yonatan Dubi,

... An important feature, which may be very relevant to the experimental observations, is dephasing. In order to incorporate it into the above model, a fraction of the links is attached to current-conserving phase-disrupting reservoirs [20]. An electron propagating along such a link enters the reservoir ...
Time-dependent quantum circular billiard
Time-dependent quantum circular billiard

... Billiards are convenient models for the study of classical and quantum dynamics of non-integrable systems. They have been extensively studied in both experimental [1] and theoretical contexts [2,3]. A remarkable feature of particle motion in billiards is the dependence of the dynamics on the geometr ...
Quantum networks with trapped ions
Quantum networks with trapped ions

... approach, this selection is achieved through a highquality cavity which enhances the coupling to the desired cavity mode 共Kimble, 2008兲. The residual coupling to the other optical vacuum modes in free space can be considered spontaneous emission noise. For a high signal-to-noise ratio, we require th ...
Quantum Set Intersection and its Application to Associative Memory
Quantum Set Intersection and its Application to Associative Memory

PDF (Author Accepted Manuscript) - CLoK
PDF (Author Accepted Manuscript) - CLoK

... We first analyse the restricted four-body problem consisting of the Earth, the Moon and the Sun as the primaries and a spacecraft as the planetoid. This scheme allows us to take into account the solar perturbation in the description of the motion of a spacecraft in the vicinity of the stable Earth-M ...
Orbitals Package Examples Introduction Initialization
Orbitals Package Examples Introduction Initialization

... Plots of rigid rotor wavefunctions The spherical harmonics are also the rigid rotor wavefunctions, or the wavefunctions for the particle on a sphere. Plot the phase on the surface of the unit sphere, using a color code for the phase. Here is the (l,m)=(4,2) case. The nodes around two lines of latitu ...
Well-Posed Learning Problems
Well-Posed Learning Problems

... DBMS that allows users to update entries which improves answering database queries Define precisely a class of problems that forms interesting forms of learning, explore algorithms to solve such problems, understand fundamental structure of learning problems and processes ...
Nonclassical States of Cold Atomic Ensembles and of Light Fields
Nonclassical States of Cold Atomic Ensembles and of Light Fields

Continuous Quantum Phase Transitions
Continuous Quantum Phase Transitions

... Our purpose in this Colloquium is to give a brief and qualitative account of some basic features of a species of phase transitions,2 termed ‘Quantum Phase Transitions’ (QPTs), that have attracted much interest in recent years. These transitions take place at the absolute zero of temperature, where c ...
Consciousness, the Brain, and Spacetime Geometry
Consciousness, the Brain, and Spacetime Geometry

Wallace-etalJAP2014-bias-dependence-and
Wallace-etalJAP2014-bias-dependence-and

QUANTROPY 1. Introduction There is a famous analogy between
QUANTROPY 1. Introduction There is a famous analogy between

... from a principle of maximum entropy with amplitudes—or as they prefer to put it, complex probabilities—replacing probabilities. However, seeking to derive amplitudes for paths in quantum mechanics from a maximum principle is not quite correct. Quantum mechanics is rife with complex numbers, and it m ...
- Free Documents
- Free Documents

... physical events. Signal nonlocality, accessed by means of quantum entanglement is an essential feature of the quantum physical domain. The presented interface may imply that some manifestations of altered states of consciousness, unconscious/ conscious shifts have quantum origin with significant psy ...
Meson spectroscopy - KVI - Center for Advanced Radiation
Meson spectroscopy - KVI - Center for Advanced Radiation

Ab-initio Modeling of Cold Gases November 11, 2009
Ab-initio Modeling of Cold Gases November 11, 2009

... Experimental progress has been rapid. The most recent advances include the observation of the Mott-instulating phase in the Fermi-Hubbard model [2] and the observation of the superexchange mechanism in a two-well system [3]. These experiments have mostly been explained qualitatively so far. Further ...
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Quantum machine learning

Quantum machine learning is a newly emerging interdisciplinary research area between quantum physics and computer science that summarises efforts to combine quantum mechanics with methods of machine learning. Quantum machine learning models or algorithms intend to use the advantages of quantum information in order to improve classical methods of machine learning, for example by developing efficient implementations of expensive classical algorithms on a quantum computer. However, quantum machine learning also includes the vice versa approach, namely applying classical methods of machine learning to quantum information theory.Although yet in its infancy, quantum machine learning is met with high expectations of providing a solution for big data analysis using the ‘parallel’ power of quantum computation. This trend is underlined by recent investments of companies such as Google and Microsoft into quantum computing hardware and research. However, quantum machine learning is still in its infancy and requires more theoretical foundations as well as solid scientific results in order to mature to a full academic discipline.
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