• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Statistics, Causality and Bell`s theorem
Statistics, Causality and Bell`s theorem

... by explaining what is actually happening behind the scenes, as it were. The purpose of this paper is to review that program from a statistician’s point of view. The EPR-B model is a model which predicts the statistics of the measurement of spin on an entangled pair of spin-half quantum systems or pa ...
From Quantum Gates to Quantum Learning: recent research and
From Quantum Gates to Quantum Learning: recent research and

Control of
Control of

... Joos: “Here there is no decoherence at all from a microscopic viewpoint”. Are distinctions in effects on control between Decoherence and Dephasing, but not discussed here. Use term D&D = Decoherence and Dephasing ...
Superconducting Circuits and Quantum Computation T. P. Orlando
Superconducting Circuits and Quantum Computation T. P. Orlando

... Superconducting circuits are being used as components for quantum computing and as model systems for non-linear dynamics. Quantum computers are devices that store information on quantum variables and process that information by making those variables interact in a way that preserves quantum coherenc ...
1 The quantum-classical boundary and the moments of inertia of
1 The quantum-classical boundary and the moments of inertia of

pdf
pdf

Another Look at the Mechanisms of Hydride Transfer Enzymes with
Another Look at the Mechanisms of Hydride Transfer Enzymes with

... taken to equal miα = µi (ωαi )2 , where µi is a proportionality constant. The normal mode transformation allows for several approximations to be made. 20 First, the normal modes are taken to be fast compared to the centroid motion, which requires a multi-step molecular dynamics propagation. 21 Secon ...
Full text in PDF form
Full text in PDF form

... In quantum information, the elementary unit is the quantum bit (or qubit), a coherent superposition of the two basis states 0 and 1. The underlying logic is non-Boolean. Different from classical bits, a qubit is contextual [20], and cannot be copied, or "cloned" [21]. The emerging fields of quantum ...
Integrable Systems: An Overview Preamble. The following pages
Integrable Systems: An Overview Preamble. The following pages

... Ω is now called (completely) integrable if there exist additional functions H1 , . . . , Hn on Ω (again referred to as ‘Hamiltonians’) such that H1 , . . . , Hn are independent and in involution (i.e., all Poisson brackets {Hj , Hk } vanish). Thus these Hamiltonians are conserved under the Hamilton ...
THE ALMOST IMPOSSIBLE WORLDS IN QUANTUM INFORMATION
THE ALMOST IMPOSSIBLE WORLDS IN QUANTUM INFORMATION

Quantum neural networks
Quantum neural networks

... • Many universes (many-world) interpretation of Everett [6], etc. The choice of interpretation is important in establishing different analogies between quantum physics and neurocomputing. The field of neural networks contains several important basic ideas, which include the concept of a processing e ...
Entangled Bell states of two electrons in coupled quantum dots
Entangled Bell states of two electrons in coupled quantum dots

... that even for the smallest Hilbert space capable of exhibiting entanglement, i.e., the two qubit systems, there are aspects of entanglement that remain to be explored. However, many measures of entanglement proposed in the past have relied on either the Schmidt decomposition [24] or decomposition in ...
Quantum algorithms for shortest paths problems in structured instances
Quantum algorithms for shortest paths problems in structured instances

College 10: Quantum computing
College 10: Quantum computing

Proposal for Implementing Device
Proposal for Implementing Device

... coefficient t turns an incoming photon into the entanglement of modes c and out which can be used to teleport an arbitrary state j0i þ iny j0i with the help of a partial Bell state analyzer. If t ¼ 12 , this is standard quantum teleportation; i.e., the outcoming state j0i  outy j0i is similar t ...
Magnetic Excitations of Stripes near a Quantum Critical Point
Magnetic Excitations of Stripes near a Quantum Critical Point



Quantum Computing and Parallel (Multicore) Processing
Quantum Computing and Parallel (Multicore) Processing

... times you will each base state will be the same for a large number of runs. This is illustrated using the circle representation above. ...
Some Quantum Computational Circuits
Some Quantum Computational Circuits

... times you will each base state will be the same for a large number of runs. This is illustrated using the circle representation above. ...
UNITEL_9 - StealthSkater
UNITEL_9 - StealthSkater

Fidelity as a figure of merit in quantum error correction
Fidelity as a figure of merit in quantum error correction

... approximately be corrected if criteria given in [10] are satisfied, reaching a fidelity of the same order (in the error rate) as the reversible case. Other codes take advantage of the fact that in addition to correcting e errors, any occurrence of e + 1 errors can also be detected, so that such unco ...
Molecule-Type Phases and Hund`s Rule in Vertically Coupled
Molecule-Type Phases and Hund`s Rule in Vertically Coupled

Why physics does not preclude free will
Why physics does not preclude free will

... Another commonality that, on further reflection, is actually just PTI with itself…. TI in its possibilist form (PTI) agrees with A. Elitzur that the past is ‘empty’ pending a measurement result; measurements bring about certain aspects of the past. However, arguably this picture is not consistent w ...
Quantum Biological Switch Based on Superradiance Transitions
Quantum Biological Switch Based on Superradiance Transitions

- 1 - THE NATURE AND SPEED OF LIGHT Peter Kohut Maly Saris
- 1 - THE NATURE AND SPEED OF LIGHT Peter Kohut Maly Saris

... connections) on its surroundings and is interpreted as an electromagnetic wave. This means that the internal motion of a photon manifests outwards as a changing intensity of its action on measuring instruments, what can be interpreted as a changing and pulsating electromagnetic field or wave. A phot ...
< 1 ... 81 82 83 84 85 86 87 88 89 ... 212 >

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.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report