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Chapter 5 The Quantum Soul: A Scientific Hypothesis
Chapter 5 The Quantum Soul: A Scientific Hypothesis

... reality of our everyday "classical" world. At small scales, and sometimes at large scales, the bizarre laws of quantum mechanics reign. For example, atoms and subatomic quantum particles can exist in two or more states or places simultaneously, more like waves than particles, and existing as multipl ...
Physicochemical Stability of ZnS Quantum Dots Stabilized by Gum
Physicochemical Stability of ZnS Quantum Dots Stabilized by Gum

Decoherence and the Transition from Quantum to Classical
Decoherence and the Transition from Quantum to Classical

... decade later by Bryce DeWitt (1970) and DeWitt and Neill Graham (1973), who managed to upgrade its status from “virtually unknown” to “very controversial.” The Many Worlds Interpretation is a natural choice for quantum cosmology, which describes the whole Universe by means of a state vector. There i ...
Tunneling spectroscopy of hole plasmons in a valence
Tunneling spectroscopy of hole plasmons in a valence

tutorial13forweek7
tutorial13forweek7

... 6. The normal vibrational modes of CS2 have two degenerate bending modes each with a frequency corresponding to 397 cm-1. If a light of frequency corresponding to 794 cm-1 is used to excite ground state CS2, it will result in a. Exciting one degenerate vibration by two quanta to v=2 level b. Excitin ...
Overview Andrew Jaramillo Research Statement
Overview Andrew Jaramillo Research Statement

Rewriting measurement-based quantum computations with
Rewriting measurement-based quantum computations with

... deterministic measurement pattern. We define a diagrammatic presentation of the pattern, and produce a circuit via a rewriting strategy based on the generalised flow of the pattern. Unlike other methods for translating measurement patterns with generalised flow to circuits, this method uses neither ...
Creative Advantage Report final
Creative Advantage Report final

... or  engaging  in  new  activities  each  day,  even  when  they  are  small  things,  this   supports  healthy  neural  activity  and  new  connections.  Another  key  is   repetition.  Neurons  wire  more  strongly  according  to  repeat ...
Geometry and Dynamics of a Quantum Search
Geometry and Dynamics of a Quantum Search

Causal Sets: Discrete Gravity (Notes for the Valdivia Summer School)
Causal Sets: Discrete Gravity (Notes for the Valdivia Summer School)

What can string theory teach us about condensed matter physics?
What can string theory teach us about condensed matter physics?

... None of these phases are CFTs Their electron densities are variable, i.e. they are compressible, and they are electrical conductors. While finding such phases is simple at high temperatures, there are only a few possible compressible quanutm phases... ...
Limitations to the superposition principle: Superselection rules in
Limitations to the superposition principle: Superselection rules in

Half-integral weight Eichler integrals and quantum modular forms
Half-integral weight Eichler integrals and quantum modular forms

A Matrix Realignment Method for Recognizing Entanglement
A Matrix Realignment Method for Recognizing Entanglement

THE QUANTUM BEATING AND ITS NUMERICAL SIMULATION
THE QUANTUM BEATING AND ITS NUMERICAL SIMULATION

Tunable spin-spin interactions and entanglement of ions in
Tunable spin-spin interactions and entanglement of ions in

First-Person Plural Quantum Mechanics
First-Person Plural Quantum Mechanics

... our experience as the constituents of an objective world is the mathematical regularities that exist between them. They make it possible to synthesize these aspects into a system of interacting re-identifiable objects. Similarly, Newton’s refusal to explain gravitational action at a distance was due ...
ARM and Machine Learning
ARM and Machine Learning

... • A subset of AI including techniques enabling computers to improve at tasks with experience. Includes deep learning ...
Attractive photons in a quantum nonlinear medium
Attractive photons in a quantum nonlinear medium

... away from the intermediate atomic resonance (Fig. 1b), where atomic absorption is low and only weakly nonlinear22, we realize a situation in which Rydberg-atom-mediated coherent interactions between individual photons dominate the propagation dynamics of weak light pulses. Previous theoretical studi ...
Calculation Algorithm for Finding the Mini
Calculation Algorithm for Finding the Mini

... be a concave function of over the region Assume that the partial derivatives, are defined and continuous over the region with the possible exception that ...
Earth-Moon Lagrangian points as a testbed for general relativity and
Earth-Moon Lagrangian points as a testbed for general relativity and

... We first analyse the restricted four-body problem consisting of the Earth, the Moon and the Sun as the primaries and a spacecraft as the planetoid. This scheme allows us to take into account the solar perturbation in the description of the motion of a spacecraft in the vicinity of the stable Earth-M ...
QUANTUM SPIN LIQUIDS: QUEST FOR THE ODD PARTICLE
QUANTUM SPIN LIQUIDS: QUEST FOR THE ODD PARTICLE

An Order-Theoretic Quantification of Contextuality
An Order-Theoretic Quantification of Contextuality

Introduction to Quantum Information and Computation for Chemistry
Introduction to Quantum Information and Computation for Chemistry

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 ...
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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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