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The Quantum Mechanical Frame of  Reference Andrew Soltau
The Quantum Mechanical Frame of  Reference Andrew Soltau

... This,   however,   makes   no   sense   unless   there   is   a   rationale   that   segregates   this  appearance of collapse from the standard linear time evolution, the Process 2 wave  mechanics. What is required is a basis on which the collapse dynamics operates in  a  logical  domain  other  th ...
Quantum-classical correspondence in the hydrogen atom in weak
Quantum-classical correspondence in the hydrogen atom in weak

An edge index for the Quantum Spin-Hall effect
An edge index for the Quantum Spin-Hall effect

Quantum Mechanical Modelling and Optical Spectroscopy of
Quantum Mechanical Modelling and Optical Spectroscopy of

Chapter 2 Quantum mechanics and probability
Chapter 2 Quantum mechanics and probability

The 1925 Born and Jordan paper “On quantum mechanics”
The 1925 Born and Jordan paper “On quantum mechanics”

Quantum mechanical modeling of the CNOT (XOR) gate
Quantum mechanical modeling of the CNOT (XOR) gate

A Note on the Switching Adiabatic Theorem
A Note on the Switching Adiabatic Theorem

... fundamental ingredient for a method of quantum computation [6]. This adiabatic quantum computing has generated a resurgence of interest in the adiabatic theorem. In general, quantum computing attempts to exploit quantum mechanics to obtain a speedup for classically difficult computational problems. ...
C. 11
C. 11

... • The Lagrangian and action are considered more fundamental then the Hamiltonian – Hamiltonian is normally derived from the Lagrangian • The action is relativistically invariant, the Hamiltonian is not • In quantum field theory, it is far easier to work with the Lagrangian • For some problems in qua ...
Polarization control of single photon quantum
Polarization control of single photon quantum

Part 3: Lattice: Quantum to Ising to RG
Part 3: Lattice: Quantum to Ising to RG

... This function has the property that when K is strong its dual is weak and vice versa. This property has proven to be very important in both statistical physics and particle physics. Often we know both a basic model and its dual. Often models are hard to solve in strong coupling. But the dual models ...
Power of Quantum Computation with Few Clean Qubits
Power of Quantum Computation with Few Clean Qubits

Environment-assisted quantum control of a solid
Environment-assisted quantum control of a solid

On distinguishability, orthogonality, and violations of the second law: contradictory assumptions, contrasting pieces of knowledge
On distinguishability, orthogonality, and violations of the second law: contradictory assumptions, contrasting pieces of knowledge

... The interplay of orthogonality, distinguishability, thermodynamics, and multiplicity of observers is quite interesting; therefore we want to discuss and analyse it in varying depth, mainly with paedagogical purposes. The paper is divided into two main parts, reflecting two main perspectives. In the ...
Monday - AQIS 2016
Monday - AQIS 2016

... In the past three decades since the HOM interference has been proposed and demonstrated with two photons from spontaneous parametric down-conversion (SPDC) process [1], huge varieties of experiments based on the HOM interference revealed fundamental properties in quantum physics, especially in quant ...
Scaling of geometric phase close to multicritical points in cluster
Scaling of geometric phase close to multicritical points in cluster

Quantum refrigerators and the third law of thermodynamics
Quantum refrigerators and the third law of thermodynamics

... refrigerator is employed consisting of a working medium composed either by two coupled harmonic oscillators or two coupled two-level systems. The refrigerator is a nonlinear device merging three currents from three heat baths: a cold bath to be cooled, a hot bath as an entropy sink, and a driving ba ...
Corley: Quantum Mechanics and Free Will
Corley: Quantum Mechanics and Free Will

PowerPoint - Subir Sachdev
PowerPoint - Subir Sachdev

... J. E. Hoffman, E. W. Hudson, K. M. Lang, V. Madhavan, S. H. Pan, H. Eisaki, S. Uchida, and J. C. Davis, Science 295, 466 (2002). ...
MATHEMATICS OF TOPOLOGICAL QUANTUM COMPUTING 1
MATHEMATICS OF TOPOLOGICAL QUANTUM COMPUTING 1

URL - StealthSkater
URL - StealthSkater

... state function reduction to smaller un-entangled pieces is impossible. The existence of number theoretical entanglement entropies in the intersection of real and various p-adic worlds force to modify this picture. The reduction process can stop also if the Self in question allows only decompositions ...
Inhomogeneous boundary effects in semiconductor quantum wires
Inhomogeneous boundary effects in semiconductor quantum wires

... The importance of the boundary (interface) effect for the quantum mechanically confined semiconductor system was first discussed in the study of the ZD systems [1012). There, the activated temperature dependence of the conductivity at low carrier densities is attributed to the localization of the el ...
Density matrices
Density matrices

... The new formalism is more powerful since it refers also to mixed states. ...
Interpretation Neutrality in the Classical Domain of Quantum Theory
Interpretation Neutrality in the Classical Domain of Quantum Theory

... according to which reduction between theories is based on a more fundamental concept of reduction between two models of a single, fixed system [40]. Here, I understand a “model” to be specified by some choice of mathematical state space (e.g., phase space, Hilbert space) and some additional structur ...
What classicality? Decoherence and Bohr`s classical concepts
What classicality? Decoherence and Bohr`s classical concepts

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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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