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Introducing categories to the practicing physicist
Introducing categories to the practicing physicist

Polynomial-Time Algorithms for Prime Factorization and Discrete
Polynomial-Time Algorithms for Prime Factorization and Discrete

Quantum Nondemolition Measurement Enables Macroscopic
Quantum Nondemolition Measurement Enables Macroscopic

on line
on line

... groups are likewise defined by polynomial equations and have corresponding algebras C[G] , as well as versions k[G] defined over general fields with the same relations. Meanwhile, working over C , a “real form” means the additional structure of a compatible complex-linear involution making the coord ...
Simple Resonance Hierarchy for Surmounting Quantum Uncertainty
Simple Resonance Hierarchy for Surmounting Quantum Uncertainty

... example along an arbitrary z axis by continuous application of a non-uniform magnetic field to atomic spin structure [1], or by Young’s double-slit experiment [2]. This scenario is cast in stone and is not the arena of our attack. The simplistic answer is ‘do something else’! Our putative solution i ...
Machine Learning
Machine Learning

Fermi liquid
Fermi liquid

... 1. Quantum critical electron systems and the great questions of condensed matter physics 2. Hairy black holes versus zero temperature entropy in quantum ...
QuRE: The Quantum Resource Estimator Toolbox
QuRE: The Quantum Resource Estimator Toolbox

Full Text
Full Text

Quantum computation and Shor`s factoring algorithm
Quantum computation and Shor`s factoring algorithm

... state of the head, and the position of the head. For example, the initial configuration is given by the input string, q 0 and the head scanning the leftmost symbol from the input. There are infinitely many possible configurations of the machine, but in all successful computations the machine goes th ...
Exponential algorithmic speedup by quantum walk Andrew M. Childs, Richard Cleve, Enrico Deotto,
Exponential algorithmic speedup by quantum walk Andrew M. Childs, Richard Cleve, Enrico Deotto,

URL - StealthSkater
URL - StealthSkater

... This leads to a peculiar paradox. If the number of quantum jumps already occurred is infinite, this prime is most naturally infinite. On the other hand, if one assumes that only finite number of quantum jumps have occurred, one encounters the problem of understanding why the initial quantum history ...
Holographic View of the Brain Memory Mechanism Based on
Holographic View of the Brain Memory Mechanism Based on

Adding quantum effects to the semi-classical molecular
Adding quantum effects to the semi-classical molecular

Nonlinear quantum mechanics, the superposition principle, and the
Nonlinear quantum mechanics, the superposition principle, and the

Recent progresses on diagrammatic determinant QMC
Recent progresses on diagrammatic determinant QMC

ANTI-MATTER FROM PRIMORDIAL BLACK HOLES
ANTI-MATTER FROM PRIMORDIAL BLACK HOLES

On Participatory Realism
On Participatory Realism

Modernizing Quantum Annealing using Local Searches
Modernizing Quantum Annealing using Local Searches

... Abstract. I describe how real quantum annealers may be used to perform local (in state space) searches around specified states, rather than the global searches traditionally implemented in the quantum annealing algorithm. Such protocols will have numerous advantages over simple quantum annealing. By ...
Hund`s multiplicity rule: From atoms to quantum dots
Hund`s multiplicity rule: From atoms to quantum dots

Quantum Copy-Protection and Quantum Money
Quantum Copy-Protection and Quantum Money

... and makes T queries to an oracle that recognizes |ϕi, can decide whether |ϕi was drawn from the explicit distribution or the Haar measure. Both for that reason, and because our construction was independent of [6], in the full version of the paper we give a self-contained proof of the following resu ...
Chaos, Quantum-transactions and Consciousness
Chaos, Quantum-transactions and Consciousness

Fundamental aspects of quantum Brownian motion
Fundamental aspects of quantum Brownian motion

... Sqq共t兲 = −共ប␥ / ␲ M ␻40兲t−2. Its relevance for the dynamical evolution of the damped harmonic oscillator depends on the details of the initial preparation.21 Although the algebraic decay results from the zero temperature limit it can also be observed at low, but finite temperatures during intermedia ...
Quantum gravity without gravitons in a superfluid quantum space.
Quantum gravity without gravitons in a superfluid quantum space.

Semiclassical Correlation in Density
Semiclassical Correlation in Density

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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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