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Quantized conductance for neutral matter
Quantized conductance for neutral matter

... because deleterious effects such as reflection and interHELIUM When an electrochemical potential difference (i.e., a voltage) is appliedLIQUID has been observed in both electron and neutral-atom mode nonadiabatic transitions are minimized [12], allowacross a metal wire whose transverse dimensions ar ...
Generation of arbitrary Dicke states in spinor Bose±Einstein
Generation of arbitrary Dicke states in spinor Bose±Einstein

... hJ^z i ˆ m0 and arbitrary Dicke states, we propose to use instead the following method: ®rst, a coupling pulse of appropriate strength is applied to the ground state jj; ji, creating an initial CSS with hJ^z i ˆ m0 . Assume without loss of generality that pulse is along the x-axis. Following this pu ...
On the quantization of the superparticle action in proper time and the
On the quantization of the superparticle action in proper time and the

Measurement Models for Quantum Zeno and anti
Measurement Models for Quantum Zeno and anti

... In quantum mechanics there are two kinds of dynamical rules which are used to describe the observed time dependence of quantum states. For closed systems the unitary evolution according to the Schrödinger equation is valid. On the other hand, measured system experiences “reduction” or “collapse of ...
System Science of Virtual Reality
System Science of Virtual Reality

... “The reception of a new paradigm often necessitates a redefinition of the corresponding science. Some old problems may be relegated to another science or declared entirely “unscientific”. Others that were previously non-existent or trivial may, with a new paradigm, become the very archetypes of sign ...
Conclusive exclusion of quantum states
Conclusive exclusion of quantum states

Shot noise of spin-polarized charge currents as a
Shot noise of spin-polarized charge currents as a

Algebraic Quantum Field Theory on Curved Spacetimes
Algebraic Quantum Field Theory on Curved Spacetimes

Classical-quantum correspondence and the
Classical-quantum correspondence and the

... of the molecular Hamiltonian; here, semiclassical methods, especially semiclassical po theory, provide an essential bridge between the classical and quantum aspects of the problem [15]. Ideally, a method should be capable of processing data on quantum energies {Ej } and line intensities to derive in ...
PDF - at www.arxiv.org.
PDF - at www.arxiv.org.

Wormhole Physics - In Classical and Quantum Theories of Gravity
Wormhole Physics - In Classical and Quantum Theories of Gravity

“Magnus” force - Pacific Institute of Theoretical Physics
“Magnus” force - Pacific Institute of Theoretical Physics

Coulomb-Blockade Oscillations in Semiconductor Nanostructures
Coulomb-Blockade Oscillations in Semiconductor Nanostructures

... See. 4 is the effect of a magnetic field on the amplitude and position of the oscillations, from which detailed Information can be obtained on the one-electron energy spectrum of the quantum dot [32]. In this chapter we consider the Coulomb-blockade oscillations in zero magnetic field and in the int ...
Emulating Quantum Computation
Emulating Quantum Computation

... our emulators. We give the running times of each algorithm, and we judge the accuracy of probabilistic actions and quantum state representation for each implementation. From these individual evaluations we provide some comparison between the presented models. Although our emulators are both correct ...
Parity anomaly and spin transmutation in quantum spin Hall
Parity anomaly and spin transmutation in quantum spin Hall

Linear Logic for Generalized Quantum Mechanics
Linear Logic for Generalized Quantum Mechanics

Document
Document

... space functions show a “force” arising from shared quantum information, a “quantum memory force” (QMF). The first four bound states are shown for Schmidt number K = 3.5, which is slightly “beyond-Bell.,” i.e., ...
Quantum computation and quantum information (PDF
Quantum computation and quantum information (PDF

... elementary particles). The properties of quantum systems only make sense in light of the measurements we make. Taken to its limit, the Copenhagen interpretation denies the reality of an individual photon or electron until it has been observed. Let us see how different interpretations of quantum mech ...
Lecture 1: Elementary quantum algorithms
Lecture 1: Elementary quantum algorithms

ABSTRACT ADIABATIC QUANTUM COMPUTATION: NOISE IN THE ADIABATIC THEOREM AND USING THE JORDAN-WIGNER
ABSTRACT ADIABATIC QUANTUM COMPUTATION: NOISE IN THE ADIABATIC THEOREM AND USING THE JORDAN-WIGNER

NON-HERMITIAN QUANTUM MECHANICS by KATHERINE JONES
NON-HERMITIAN QUANTUM MECHANICS by KATHERINE JONES

Wigner functions - Statistical Physics and Theory of Chaos
Wigner functions - Statistical Physics and Theory of Chaos

... In general, it is not possible to find such a probability distribution in quantum mechanics,2 and so the Wigner function cannot be a simple probability distribution. For this reason, it is often called a quasidistribution. Of course, a simple probability distribution determining expectation values i ...
Contextualizing Concepts Using a Mathematical
Contextualizing Concepts Using a Mathematical

Aalborg Universitet The effect of time-dependent coupling on non-equilibrium steady states
Aalborg Universitet The effect of time-dependent coupling on non-equilibrium steady states

... of electrons through them. Even though our results can be generalized to higher dimensions, we choose for the moment to work in a (quasi) one dimensional setting; let us describe it in some more detail. A quantum well consists of potential barriers which are supposed to confine particles. On both si ...
- MIT Press Journals
- MIT Press Journals

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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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