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What classicality? Decoherence and Bohr`s classical concepts
What classicality? Decoherence and Bohr`s classical concepts

Quantum Phenomena Modeled by Interactions between Many
Quantum Phenomena Modeled by Interactions between Many

... HALL, DECKERT, AND WISEMAN ...
QUANTUM STATES, ENTANGLEMENT and CLOSED TIMELIKE
QUANTUM STATES, ENTANGLEMENT and CLOSED TIMELIKE

Modeling and Control of Quantum Systems: An Introduction
Modeling and Control of Quantum Systems: An Introduction

... Alongside piecewise constant controls, these methods include also averaging techniques and “chattering” control [16]. Adaptive quantum measurements – the first type of closed-loop quantum control to be considered theoretically was motivated by the engineering of optimal detector for classical commun ...
Quantum Computation and Quantum Information
Quantum Computation and Quantum Information

Effective Quantum Spin Systems with Trapped Ions
Effective Quantum Spin Systems with Trapped Ions

MS Word 97 format
MS Word 97 format

Experimental Implementation of Adiabatic Passage between
Experimental Implementation of Adiabatic Passage between

... Over the past thirty years, it has become increasingly clear that the Landau symmetry-breaking theory cannot describe all phases of matter and their quantum phase transitions (QPTs) [1–3]. The discovery of the fractional quantum Hall (FQH) effect [4] indicates the existence of an exotic state of mat ...
arXiv:1504.04012v1 [cond-mat.quant
arXiv:1504.04012v1 [cond-mat.quant

Interaction- and measurement-free quantum Zeno gates for universal computation
Interaction- and measurement-free quantum Zeno gates for universal computation

... particles. One of the challenges faced in mixed-qubit applications is to create strong coherent interactions between atomic and photonic qubits. If achieved, this could lead to two-qubit operations between remote atomic qubits via a common photonic channel, thus eliminating the restriction to neares ...
Full characterization of polarization states of light via direct
Full characterization of polarization states of light via direct

Quantum Stein`s lemma revisited, inequalities for quantum entropies
Quantum Stein`s lemma revisited, inequalities for quantum entropies

ValenciaHiesmayr2008
ValenciaHiesmayr2008

...   r1e i K S K S  r2e i K S K L  r3e i K L K S  r4e i K L K L ...
Document
Document

... (Wikipedia) ...
Full characterization of polarization states of light via direct
Full characterization of polarization states of light via direct

... easurement plays a vital role in the practice of science. This is especially so in the case of quantum mechanics, where the measurement process is fundamental to the formulation of the theory. A crucial feature of quantum mechanics is that a measurement of one variable of a system erases information ...
Black-Body Radiation for Twist-Deformed Space
Black-Body Radiation for Twist-Deformed Space

... radiation process. Besides we provide for small parameter θ the twisted counterparts of the Rayleigh-Jeans and Wien distributions, respectively. The paper is organized as follows. In Sect. II we recall basic facts concerning the most wide class of twisted (N-enlarged Newton-Hooke) space-times [17], ...
Modal Approaches in Metaphysics and Quantum Mechanics1
Modal Approaches in Metaphysics and Quantum Mechanics1

... physicists improve the model or create a new interpretation. The more difficulties are in explanation of connections between all parts of the theory, the more interpretations arise. It seems just that happens in QM and quantum field theory. In the interpretation of the theory, there are two aspects. ...
Topological Chern Indices in Molecular Spectra
Topological Chern Indices in Molecular Spectra

... A few remarks are in order here. Since 共2j 1 1兲 is the number of quanta in the classical phase space Sj2 for spin Jcl , Eq. (3) looks like a Weyl formula with a correction. The index Cg has been defined and can be computed in “a semiquantal” approach where Jcl is considered as a classical variable a ...
Entanglement verification and steering when Alice and Bob cannot
Entanglement verification and steering when Alice and Bob cannot

Tunneling between Edge States in a Quantum Spin Hall System
Tunneling between Edge States in a Quantum Spin Hall System

Monday, Nov. 6, 2006
Monday, Nov. 6, 2006

Black hole spectroscopy from Loop Quantum Gravity models
Black hole spectroscopy from Loop Quantum Gravity models

Quantum Phase Transition and Emergent Symmetry in a Quadruple Quantum... Dong E. Liu, Shailesh Chandrasekharan, and Harold U. Baranger
Quantum Phase Transition and Emergent Symmetry in a Quadruple Quantum... Dong E. Liu, Shailesh Chandrasekharan, and Harold U. Baranger

... Conductance.—Conductance is a crucial observable experimentally. However, the QMC method is only able to provide numerical data for the imaginary time Green function at discrete Matsubara frequencies—the conductance cannot be directly calculated. The zero bias conductance for an impurity model can b ...
Implications of Quantum Informational Entropy in Some
Implications of Quantum Informational Entropy in Some

Robust dynamical decoupling for quantum computing and quantum
Robust dynamical decoupling for quantum computing and quantum

< 1 ... 53 54 55 56 57 58 59 60 61 ... 212 >

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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