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Quantum Few-Body Systems
Quantum Few-Body Systems

... superconducting films and rotating bosonic He-4 or fermionic He-3 liquids, and recently became a hot topic in the research on cold atoms in traps. Here we show that the rotation of trapped particles with a repulsive interaction may lead to vortex formation regardless of whether the particles are bos ...
Quantum Mechanics in the Early Universe
Quantum Mechanics in the Early Universe

... Settings of detectors We can now form the C observable and check whether Bell’s inequalities are violated. Quantum mechanics allows a violation of up to a factor of In this model we indeed get such a violation. This proves that the variable determining the type of hotspot we have is quantum. ...
The nature of the chemical bond
The nature of the chemical bond

authentication with quantum smart-card
authentication with quantum smart-card

... 2. The quantum entanglement for the smart-card A scheme of the QC smart-card with the quantum entanglement is given in Fig.1. Here the solid line presents the quantum channel (optical fiber), the double dotted line presents the electric connection from the photocell source and signal connection with ...
Dynamic timescale
Dynamic timescale

... The extracellular β-neurexin-neuroligin-1 adhesion is the core of a newly forming excitatory synapse (Brose, 1999). About 90% of the cortico-cortical synapses are glutamatergic (excitatory). It provides an interesting and simple mechanism for retrograde signalling during learning-dependent changes i ...
Turing Machine
Turing Machine

1 Two qubits - EECS: www
1 Two qubits - EECS: www

Document
Document

... - Large coupling to radiation - Efficient and state-selective single-atom detection ...
Your Project Title Here Your Research Theme Here
Your Project Title Here Your Research Theme Here

Atomic Structure Lecture 7 - Introduction Lecture 7
Atomic Structure Lecture 7 - Introduction Lecture 7

... energy states that an electron can have in an atom While the wave function, !, has no physical meaning, the square of the wave function, !2, is does. • !2 is called the probability density and gives the probability that the electron will be found at a particular location in an atom. • As shown by He ...
QUANTUM ENTANGLEMENT
QUANTUM ENTANGLEMENT

... A secret code can be generated if we assign “0” and “1” bit values. This can be used to encode and decode secure messages. There is no information for an eavesdropper to intercept. We demonstrated the first quantum cryptography in optical fibers. ...
Less than perfect wave functions in momentum-space
Less than perfect wave functions in momentum-space

Advanced Quantum Physics - Theory of Condensed Matter
Advanced Quantum Physics - Theory of Condensed Matter

... production into such a consistent quantum mechanical formulation? These are some of the conceptual challenges that we will address in this ...
PDF document - American Academy of Arts and Sciences
PDF document - American Academy of Arts and Sciences

Peter Heuer - Quantum Cryptography Using Single and Entangled
Peter Heuer - Quantum Cryptography Using Single and Entangled

A Post Processing Method for Quantum Prime Factorization
A Post Processing Method for Quantum Prime Factorization

Comparison of Genetic Algorithm and Quantum Genetic Algorithm
Comparison of Genetic Algorithm and Quantum Genetic Algorithm

... values becomes available for use. That's why we think that quantum computers can be used mainly in applications involving a choice among a multitude of alternatives. In general, a quantum algorithm has less complexity than its classic equivalent algorithm through the concept of quantum superposition ...
A Quantum Information Processing Explanation of Disjunction Effects
A Quantum Information Processing Explanation of Disjunction Effects

... another operator is applied that transforms the initial state into one that has ψDD = ψDC = 0 to produce ψC = [0,0,αC,βC], where βC2 = 1 − αC2. In the unknown case, an operator is applied which produces a superposition state ψU = √½ · ψD + √½ · ψC. The interpretation of this state will be treated in ...
Free-Space distribution of entanglement and single photons over
Free-Space distribution of entanglement and single photons over

... distances, as predicted by quantum theory. Here we report the violation of the Clauser-Horne-Shimony-Holt (CHSH) inequality [25] measured by two observers separated by 144 km between the Canary Islands of La Palma and Tenerife via an optical free-space link using the Optical Ground Station (OGS) of ...
Chapter 4-2 The Quantum Model of the Atom
Chapter 4-2 The Quantum Model of the Atom

here - André Xuereb
here - André Xuereb

Transition Probability (Fidelity) and its Relatives
Transition Probability (Fidelity) and its Relatives

... of quantum information theory its importance has become much more evident then before, though it has been clearly seen already in the so-called algebraic approach to quantum field theory and statistical physics. Of course, experimental progress can be made only in combination with dynamics, concrete ...
Towards Heisenberg Limit in Magnetometry with
Towards Heisenberg Limit in Magnetometry with

LEAR IG PATHS OF HIGH SCHOOL STUDE TS I QUA TUM MECHA
LEAR IG PATHS OF HIGH SCHOOL STUDE TS I QUA TUM MECHA

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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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