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Classical Physics versus Quantum Physics: An Overview
Classical Physics versus Quantum Physics: An Overview

Kitaev Honeycomb Model [1]
Kitaev Honeycomb Model [1]

... frustrated case, where all the coupling parameters are roughly the same, which takes place in the gapless phase B. In this phase the system corresponds to a quantum spin liquid with Z2 topological order, which is disordered even at lowest temperature due to quantum fluctuation. ...
Book of Abstracts
Book of Abstracts

Honors Convocation Address.pdf
Honors Convocation Address.pdf

... states (those sets of potentialities) and how they make the role of measurement an active process that selects one of the potentialities to create reality. According to his strongly held realism, measurement should be passive and reveal a pre-existing reality. Einstein therefore concluded that the i ...
Operator methods in quantum mechanics
Operator methods in quantum mechanics

QUANTUM CRYPTOGRAPHY: PITFALLS AND ASSETS
QUANTUM CRYPTOGRAPHY: PITFALLS AND ASSETS

ppt - Zettaflops
ppt - Zettaflops

Identity Rule for Classical and Quantum Theories
Identity Rule for Classical and Quantum Theories

Quantum random walks without walking
Quantum random walks without walking

Recent Progress in Ultracold Atoms
Recent Progress in Ultracold Atoms

... •Ring trap •Chips New Probes •RF Spectroscopy •Noise Correlations •Birefringence ...
National Institute for Theoretical Physics
National Institute for Theoretical Physics

The World Of Quantum Mechanics
The World Of Quantum Mechanics

Temperature Dependence of the Energy Gap of InP Quantum Dots
Temperature Dependence of the Energy Gap of InP Quantum Dots

A Full-Quantum Three-Dimensional Analysis of the Dynamics of a
A Full-Quantum Three-Dimensional Analysis of the Dynamics of a

... momentum uncertainty principle, and this is indeed the issue that the present article addresses. That is, in quantum mechanics, an atom is after all to be described as a wave packet, and it is well known that the wave packet undergoes rapid changes in morphology in the course of the atom-field excha ...
Superconducting Circuits and Quantum Computation
Superconducting Circuits and Quantum Computation

... J. L. Habif, B. Singh, D. S. Crankshaw, T. P. Orlando State-of-the-art experiments involving superconducting qubits consist of one or two qubit systems whose quantum state is manipulated using high-bandwidth, room-temperature laboratory electronics[1]. In order to scale a superconducting quantum com ...
Chromium: a spin qubit with large spin to strain
Chromium: a spin qubit with large spin to strain

A quantum framework for likelihood ratios
A quantum framework for likelihood ratios

For printing - Mathematical Sciences Publishers
For printing - Mathematical Sciences Publishers

Quantum physics explains Newton`s laws of motion
Quantum physics explains Newton`s laws of motion

Machine Learning - Dipartimento di Informatica
Machine Learning - Dipartimento di Informatica

... machine learning. The course focuses on the critical analysis of the characteristics for the design and use of the algorithms for learning functions from examples and for the experimental modelization and evaluation. Introduction: Computational learning tasks, prediction, generalization. Basic conce ...
Vargas
Vargas

An Improved Quantum Algorithm for Searching an Ordered List
An Improved Quantum Algorithm for Searching an Ordered List

Quantum Algorithm to Solve a Maze: Converting Maze Problem into
Quantum Algorithm to Solve a Maze: Converting Maze Problem into

Density Matrices and the Weak Quantum Numbers
Density Matrices and the Weak Quantum Numbers

Risk Management
Risk Management

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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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