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Towards a Tight Finite Key Analysis for BB84
Towards a Tight Finite Key Analysis for BB84

Quantum connection and Poincare19 e-
Quantum connection and Poincare19 e-

... cosymplectic forms according to [JaMo93a, JaMo93b, CJM95]. This approach presents important analogies with geometric quantisation but novelties as well. In a few words, spacetime is a fibred manifold equipped with a vertical metric, a gravitational connection and an electromagnetic field; these stru ...
IEEE Transactions on Magnetics
IEEE Transactions on Magnetics

... superposition of coherent quantum states [3]. What this means is that microtubules can be used to extract information from many different signals, called wave-functions. For example, we can think of a MT as some type of measuring device similar to a measuring ruler. When a stick, in this case the wa ...
Biosystems as Macroscopic Quantum Systems
Biosystems as Macroscopic Quantum Systems

... Topological GeometroDynamics (TGD)-inspired theory of consciousness. The TGD approach differs, however, from many competing approaches (such as Penrose-Hameroff approach assuming that microtubular level is somehow special) in that an entire fractal hierarchy of Macroscopic quantum systems made possi ...
Quantum One-Way Communication is Exponentially Stronger Than
Quantum One-Way Communication is Exponentially Stronger Than

Frozen Quantum Coherence - School of Mathematical Sciences
Frozen Quantum Coherence - School of Mathematical Sciences

Quantum Cohomology via Vicious and Osculating Walkers
Quantum Cohomology via Vicious and Osculating Walkers

Dirac multimode ket-bra operators` [equation]
Dirac multimode ket-bra operators` [equation]

Electronic transport in graphene nanostructures on SiO
Electronic transport in graphene nanostructures on SiO

... The inset of Fig. 2 shows a nanoribbon, 60 nm in width and 200 nm in length. The dependence of its conductance on the backgate voltage is shown in the main panel of Fig. 2 on a logarithmic scale. The conductance changes by about three orders of magnitude while the Fermi-energy is shifted from the va ...
Ph. D. thesis Quantum Phase Transitions in Correlated Systems
Ph. D. thesis Quantum Phase Transitions in Correlated Systems

... In this thesis we shall investigate the properties of systems with strong correlations. Correlations are present even in ideal gases: at low temperatures, quantum statistics manifest in entirely different behavior of bosons and fermions. The situation gets more interesting and also more involved whe ...
Subnormalized states and trace
Subnormalized states and trace

Five Lecture Course on Basic Physics of
Five Lecture Course on Basic Physics of

... How to arrange for a spatially nonhomogeneous supeconducting phase? One way is just to inject current into a homogeneous sample. Another way is to switch on an external magnetic field. H S f1 ...
Sharp Tunneling Peaks in a Parametric Oscillator: Quantum Resonances Missing
Sharp Tunneling Peaks in a Parametric Oscillator: Quantum Resonances Missing

Quantum Effects Through a Fractal Theory of Motion
Quantum Effects Through a Fractal Theory of Motion

M00.pdf
M00.pdf

5.3 Atomic Emission Spectra and the Quantum Mechanical Model
5.3 Atomic Emission Spectra and the Quantum Mechanical Model

... 5.1 Revising the Atomic Model ...
$doc.title

The Threshold for Fault-Tolerant Quantum Computation
The Threshold for Fault-Tolerant Quantum Computation

Fractional quantum Hall effect in suspended graphene probed with
Fractional quantum Hall effect in suspended graphene probed with

Fractional topological ordered phases.
Fractional topological ordered phases.

Circuit Quantum Electrodynamics with Transmon Qubits in
Circuit Quantum Electrodynamics with Transmon Qubits in

Perfect state transfer over distance
Perfect state transfer over distance

Singularity of the time-energy uncertainty in adiabatic perturbation
Singularity of the time-energy uncertainty in adiabatic perturbation

Quantum measurements of coupled systems * L. Fedichkin, M. Shapiro,
Quantum measurements of coupled systems * L. Fedichkin, M. Shapiro,

Full-Text PDF
Full-Text PDF

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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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