• 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
PH 5840 Quantum Computation and Quantum Information
PH 5840 Quantum Computation and Quantum Information

... — Postulates of quantum mechanics, quantum states, pure states, entangled states, evolution of quantum systems, composite quantum systems, measurement, Born rule, observables, Heisenberg picture vs Schrondinger picture, density operator, mixed states, reduced density operator, Schmidt decomposition, ...
Quantum Mechanical Model
Quantum Mechanical Model

quantum mechanics
quantum mechanics

CS378 - M375T - PHY341 Introduction to Quantum
CS378 - M375T - PHY341 Introduction to Quantum

Arthur-Merlin and Black-Box Groups in Quantum
Arthur-Merlin and Black-Box Groups in Quantum

Cavendish Laboratory
Cavendish Laboratory

Quantum Computation and Quantum Information - Video
Quantum Computation and Quantum Information - Video

quantum computing
quantum computing

Quantum Mechanics
Quantum Mechanics

Word - UNSW Newsroom
Word - UNSW Newsroom

Titles and Abstracts
Titles and Abstracts

... Abstract: The Bethe ansatz is a key tool in the area of quantum integrable and exactly solvable models. For each such model, understanding the nature of the roots of the Bethe ansatz equations is central to understanding the mathematical physics underpinning the model’s behaviour. Here we analyse an ...
The Learnability of Quantum States
The Learnability of Quantum States

The Future of Computer Science
The Future of Computer Science

... Range(g) are either equal or disjoint. Decide which. In the “black-box” setting, this problem takes exp(n) time even with a quantum computer (a main result from my 2004 PhD thesis, the “collision lower bound”). Even in non-blackbox setting, would let us solve e.g. Graph Isomorphism Theorem (Harlow-H ...
Physics 212: Statistical mechanics II, Spring 2014 Course
Physics 212: Statistical mechanics II, Spring 2014 Course

... useful for people wanting to learn more details of the field-theoretic approaches. In some previous offerings, there has been an opportunity for students to complete a written final project and short oral presentation. I believe that the course is too large this time for oral presentations, but we w ...
PHYS3111, 3d year Quantum Mechanics General Info
PHYS3111, 3d year Quantum Mechanics General Info

Quantum computing
Quantum computing

Substance - Department of Chemistry | Oregon State University
Substance - Department of Chemistry | Oregon State University

... ν = c/λ = (3.00 x 108 m/s)/(610 x 10-9 m) = 4.92 x1014 1/s or Hz E = hν = (6.626 x 10-34 J·s)(4.92 x1014 1/s) = 3.26 x 10-19 J (per photon) ...
quantum mechanics departs from classical mechanics primarily at
quantum mechanics departs from classical mechanics primarily at

Quantum Numbers Practice Problems Name: AP Physics Period: 1
Quantum Numbers Practice Problems Name: AP Physics Period: 1

Quantum Mechanical Model of the Atom
Quantum Mechanical Model of the Atom

Ex 2
Ex 2

The Learnability of Quantum States
The Learnability of Quantum States

... Use of DoE supercomputers by area (from a talk by Alán Aspuru-Guzik) ...
The Learnability of Quantum States
The Learnability of Quantum States

... Sampling and Searching [A., CSR 2011] [A.-Arkhipov] gave a “sampling problem” solvable using quantum optics that seems hard classically—but does that imply anything about more traditional problems? Recently, I found a way to convert any sampling problem into a search problem of “equivalent difficult ...
Chemistry 871/671/495, Structure and Bonding
Chemistry 871/671/495, Structure and Bonding

powerpoint slides
powerpoint slides

... Quantum Computers Computers are based on quantum devices transistors - which are getting smaller and smaller. Soon they will be so small that they will be directly subject to quantum rules. This is both a problem and an opportunity. We will be looking at the opportunity. ...
< 1 ... 196 197 198 199 200 201 202 203 204 ... 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