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quantum transport phenomena of two
quantum transport phenomena of two

Interconnection Networks for Scalable Quantum Computers
Interconnection Networks for Scalable Quantum Computers

... While a million bits of storage is not particularly large by classical silicon standards, it is large when taking into account the degradation of state experienced by a qubit through movement. As discussed in Section 4, for instance, a qubit in an Ion-Trap computer experiences a probability of corru ...
Contextualizing Concepts using a Mathematical
Contextualizing Concepts using a Mathematical

New Class of Quantum Error-Correcting Codes for a Bosonic Mode
New Class of Quantum Error-Correcting Codes for a Bosonic Mode

... Continuous-variable quantum information processing using bosonic modes [1–8] offers an attractive alternative to two-level qubits. In practice, hybrid systems containing fixed qubits, photons trapped in resonators, as well as flying photon qubits will likely be essential to realistic architectures f ...
An experimental implementation of oblivious transfer in the noisy
An experimental implementation of oblivious transfer in the noisy

Development of semi-classical and quantum tools for the
Development of semi-classical and quantum tools for the

... Electronics surrounds many aspects of our everyday life. The progress of our actual society is somehow ultimately linked to the progress of electronics. Such progress demands smaller and faster devices. Therefore, the simulations tools needed to be able, to understand the behavior of emerging electr ...
An important problem, not discussed so far by other authors, is the
An important problem, not discussed so far by other authors, is the

Three myths about time reversal in quantum theory
Three myths about time reversal in quantum theory

Three Myths About Time Reversal in Quantum Theory 1. Introduction
Three Myths About Time Reversal in Quantum Theory 1. Introduction

Theoretical Investigations Regarding Single Molecules
Theoretical Investigations Regarding Single Molecules

lecture 2 not ready - Villanova Department of Computing Sciences
lecture 2 not ready - Villanova Department of Computing Sciences

... Defining the Learning Task Improve on task, T, with respect to performance metric, P, based on experience, E. T: Playing checkers P: Percentage of games won against an arbitrary opponent E: Playing practice games against itself T: Recognizing hand-written words P: Percentage of words correctly clas ...
Lecture 7: Shor`s Factorisation Algorithm Introduction The Factoring
Lecture 7: Shor`s Factorisation Algorithm Introduction The Factoring

... • There are several causes of potential error ...
Quiet Readout of Superconducting Flux States
Quiet Readout of Superconducting Flux States

... decoherence due to environmental noise, but back action from the required measuring device and intrinsic noise in the qubit itself results in decoherence that must be quantified and reduced. A dc Superconducting QUantum Interference Device (SQUID), which involves two Josephson junctions connected i ...
Measurements in Quantum Optics
Measurements in Quantum Optics

Atomic Bose-Hubbard Systems with Single-Particle
Atomic Bose-Hubbard Systems with Single-Particle

majorization and quantum entanglement
majorization and quantum entanglement

AUTOMATIC QUANTUM COMPUTER PROGRAMMING A Genetic
AUTOMATIC QUANTUM COMPUTER PROGRAMMING A Genetic

Quixotic Order and Broken Symmetry in the Quantum Hall Effect and
Quixotic Order and Broken Symmetry in the Quantum Hall Effect and

Chapter 2 Challenging the Boundaries between Classical and
Chapter 2 Challenging the Boundaries between Classical and

Algebraic Topology Foundations of Supersymmetry and Symmetry
Algebraic Topology Foundations of Supersymmetry and Symmetry

Non-relativistic limit in the 2+ 1 Dirac Oscillator: A Ramsey
Non-relativistic limit in the 2+ 1 Dirac Oscillator: A Ramsey

Text and script of the play "Incredible Quantum Tablet".
Text and script of the play "Incredible Quantum Tablet".

An Introduction to Applied Quantum Mechanics in the Wigner Monte
An Introduction to Applied Quantum Mechanics in the Wigner Monte

Spin-based quantum computers made by chemistry: hows and whys†
Spin-based quantum computers made by chemistry: hows and whys†

... it will be the key that unlocks the QIPS door (and doubtless many other doors as well). Concerning the second question—so far the most successful designs for QIPS have been made from ion traps,1 but it is not yet clear how one might scale these up to the larger systems, involving many entangled qubi ...
Metric gluing of Brownian and sqrt(8/3)-Liouville
Metric gluing of Brownian and sqrt(8/3)-Liouville

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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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