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An exponential separation between quantum and classical one
An exponential separation between quantum and classical one

... One of the simplest interesting models of communication complexity, and still far from understood. Lower bounds on one-way communication complexity have many applications classically to lower bounds on data structures and streaming algorithms. Separating quantum and classical 1WCC is a first step to ...
Fundamental Theories of Physics
Fundamental Theories of Physics

... In Sect. 4.1b it is explained that the relations between a set of urs remain unchanged if they all are subjected to the same transformation from SU (2). These relations, however, will change between different sets if they are transformed by respectively different group elements. At this level of extre ...
Elementary Particle Mixing for Maximum Channel Capacity in Measured Decays
Elementary Particle Mixing for Maximum Channel Capacity in Measured Decays

... channel capacity. Maximizing the number of accessibly distinguishable states would be roughly analogous to maximizing the number of microscopic configurations associated with a macroscopic state in classical statistical mechanics. A particle consists fundamentally of its quantum state and the implie ...
D047042023
D047042023

... reversibility has become essential part of digital world to make digital circuits more efficient. In this paper, we have proposed a new method to reduce quantum cost and power for various multiplexers. The results are simulated in Xilinx by using VHDL language. Keywords: FRG Gate , MFRG Gate , Multi ...
What General Chemistry Students Know (and Don`t Know) About
What General Chemistry Students Know (and Don`t Know) About

What General Chemistry Students Know
What General Chemistry Students Know

... find the electron, somewhere in there. P: Mm-hmm. When you say where we would find it, what do you mean? I mean, is there a difficulty with finding the electron? S: Again, to measure the exact location of an electron, I would imagine it would require something like stopping it from moving, because t ...
Quantum computers
Quantum computers

ac-Driven Atomic Quantum Motor - Physik Uni
ac-Driven Atomic Quantum Motor - Physik Uni

Quantum Decoherence and the - Philsci
Quantum Decoherence and the - Philsci

Lecture 8
Lecture 8

... Lecture 8 Page 10 ...
Quantum Entanglement in Many-body Systems
Quantum Entanglement in Many-body Systems

... Here I would like to mention about the recent debates about this issue. In [14], it is claimed that under certain conditions, first-order (second-order) phase transition happens if and only if the (first order derivative of the) ground state concurrence has discontinuity or divergence. However, in [ ...
Microsoft Word - ANL_form6
Microsoft Word - ANL_form6

A THEORY OF DEDUCTION FOR QUANTUM MECHANICS Abstract
A THEORY OF DEDUCTION FOR QUANTUM MECHANICS Abstract

Gate-defined quantum confinement in suspended bilayer graphene
Gate-defined quantum confinement in suspended bilayer graphene

... Unzipping carbon nanotubes yields clean nanoribbon dots, but this approach cannot produce arbitrarily shaped nanostructures with tunable constrictions17. However, local bandgap engineering in bilayer graphene enables production of tunable tunnel barriers defined by local electrostatic gates18, thus ...
Unscrambling the Quantum Omelette of Epistemic and Ontic
Unscrambling the Quantum Omelette of Epistemic and Ontic

Determination of Enzymatic Reaction Pathways Using QM/MM
Determination of Enzymatic Reaction Pathways Using QM/MM

... case one has not properly defined the valence bond forms (i.e., the most prevalent ionic and covalent forms), one can miss either unusual reaction pathways that can occur in reactive chemical systems or a chemical reaction not previously introduced in the valence bond forms. 2. The linear scaling app ...
Quantum monodromy in the two-centre problem Waalkens
Quantum monodromy in the two-centre problem Waalkens

... The relation between the type of motion and the value of the constants of motion is best described in terms of bifurcation diagrams. The bifurcation diagram is the set of critical values of the energy–momentum map given by (H, G, Lz ). At a critical point the constants of motion are not independent ...
1 Classical mechanics vs. quantum mechanics - Beck-Shop
1 Classical mechanics vs. quantum mechanics - Beck-Shop

Quantum and Ecosystem Entropies
Quantum and Ecosystem Entropies

QMLeipzig_June02 - Buffalo Ontology Site
QMLeipzig_June02 - Buffalo Ontology Site

1 Classical mechanics vs. quantum mechanics - Assets
1 Classical mechanics vs. quantum mechanics - Assets

... properties, or the ‘‘observables,’’ of the system. Thus, as far as interpreting experimental results goes, it makes no difference which representation is used. The choice is generally dictated by the context of the problem or mathematical expediency. Most of the introductory literature on the quantu ...
Dynamics of Quantum Many Body Systems Far From Thermal
Dynamics of Quantum Many Body Systems Far From Thermal

... infinite past and infinite future, in the interaction representation. The crucial result4 that follows from adiabaticity is that these two states are essentially the same, up to a phase, since the process of switching on and off slowly the interaction does not affect the system, hence | + ∞i = eiδ | ...
Highly efficient optical quantum memory with long coherence time in
Highly efficient optical quantum memory with long coherence time in

... of 89%, which is within experimental uncertainty of our measured value. Comparing simulations with and without 4WM shows that the power contained in the idler is expected to be 0.9% of the probe input power, leading to gain in the probe output of 0.9%. This result is consistent with previous work in ...
Photodissociation of F2 in crystalline krypton: effect of molecule
Photodissociation of F2 in crystalline krypton: effect of molecule

Chapter 15. - Portland State University
Chapter 15. - Portland State University

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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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