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1 Transport of Dirac Surface States
1 Transport of Dirac Surface States

... The occurrence of robust states at their surface is the most salient feature of three dimensional topological insulators [29, 47]. Indeed, it is their existence in ARPES experiments which is used as a signature of the topological property of the bulk bands. These surface states turn out to be descri ...
Quantum information with continuous variables
Quantum information with continuous variables

... creation operators兲. This Kerr-type interaction would be hard to obtain on the level of single photons. However, the off-line generation of the complicated auxiliary states needed in the Knill-Laflamme-Milburn scheme seems impractical too. Similarly, in the continuous-variable setting, when it comes ...
What Makes a Classical Concept Classical? Toward a
What Makes a Classical Concept Classical? Toward a

... investigation. But Bohr made a break with this traditional conception of objectivity, arguing that the most important necessary condition for objectivity is what he termed the “unambiguous communicability” of the scientist’s descriptions of experiments and their results. In the early twentieth centu ...
Quantum Circuits Engineering: Efficient Simulation and
Quantum Circuits Engineering: Efficient Simulation and

Quantum methods for clock synchronization: Beating the standard
Quantum methods for clock synchronization: Beating the standard

Macroscopic quantum effects based on Kerr nonlinearities
Macroscopic quantum effects based on Kerr nonlinearities

The Computational Complexity of Linear Optics
The Computational Complexity of Linear Optics

... random bits used by O. This condition is clearly met if O is a classical randomized algorithm, since we can always interpret a randomized algorithm as just a deterministic algorithm that takes a random string r as part of its input. On the other hand, the condition would not be met if we implemented ...
1 THE MINDFUL UNIVERSE (May 5, 2005)
1 THE MINDFUL UNIVERSE (May 5, 2005)

Product Operator - Vanderbilt Center for Structural Biology
Product Operator - Vanderbilt Center for Structural Biology

... content or the sensitivity of NMR spectra in both solution and solid phases.(‘-3g) For the design and analysis of new techniques two approaches have been pursued in the field of “spin engineering”. Many of the original concepts were based on simplified classica or semiclassical vector models which h ...
Disorder and entropy rate in discrete time quantum walks
Disorder and entropy rate in discrete time quantum walks

Anyons and the quantum Hall effect— A pedagogical
Anyons and the quantum Hall effect— A pedagogical

NON-RELATIVISTIC QUANTUM MECHANICS - Philsci
NON-RELATIVISTIC QUANTUM MECHANICS - Philsci

On the work of Igor Frenkel
On the work of Igor Frenkel

Quantum States of Neutrons in the Gravitational Field
Quantum States of Neutrons in the Gravitational Field

... What is gravity? In many respects this may be one of the most important questions ever asked. Answers to it have always been milestones on the way from ancient natural philosophy to modern science. Every physicist knows the legendary free fall experiments of Galileo Galilei at the dawn of empiricism ...
Elec-‐ph. and ph.-‐ph. coupling in semiconductors and bismuth
Elec-‐ph. and ph.-‐ph. coupling in semiconductors and bismuth

Multiphoton population transfer in systems violating the classical twist condition: A... study of separatrix crossing in phase space
Multiphoton population transfer in systems violating the classical twist condition: A... study of separatrix crossing in phase space

... molecular systems, population transfer between bound states of atoms and vibrational modes of molecules has received a lot of attention from both experimental and theoretical fronts. From the molecular perspective, preparation of advantageous initial vibrational modes has been important in endeavors ...
Contextualizing Concepts using a Mathematical Generalization of
Contextualizing Concepts using a Mathematical Generalization of

Quantum Theory of Molecular Magnetism - cond
Quantum Theory of Molecular Magnetism - cond

... The determination of the energy spectra of magnetic molecules is a demanding numerical problem. The attempt to diagonalize the Hamilton matrix numerically is very often severely restricted due to the huge dimension of the underlying Hilbert space. For a magnetic system of N spins of spin quantum num ...
TOPICS IN QUANTUM NANOSTRUCTURE PHYSICS: SPIN-ORBIT EFFECTS AND FAR-INFRARED RESPONSE TEMES DE F´
TOPICS IN QUANTUM NANOSTRUCTURE PHYSICS: SPIN-ORBIT EFFECTS AND FAR-INFRARED RESPONSE TEMES DE F´

Quantum Error Correction - Quantum Theory Group at CMU
Quantum Error Correction - Quantum Theory Group at CMU

generalized twist-deformed rindler space-times
generalized twist-deformed rindler space-times

... counterpart of Rindler space - so-called (linearized) κ - Rindler space and twistdeformed Rindler spacetime, respectively. First of them is associated with the wellknown κ - deformed Minkowski space [9], [10]2, while the second one with twisted canonical, Lie-algebraic and quadratic quantum Minkowsk ...
Single-electron pumping in silicon quantum dots
Single-electron pumping in silicon quantum dots

Theory of Nothing
Theory of Nothing

... demands an interpretation of quantum mechanics. A number of interpretations have been proposed, but I will mention only the two most popular — the Copenhagen Interpretation, in which the system’s state collapses to yield a definite value (a so-called eigenvalue) for any observed quantity, and the Ma ...
School of Physics - The University of Sydney
School of Physics - The University of Sydney

quantum transport phenomena of two
quantum transport phenomena of two

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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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