• 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
THE C∗-ALGEBRAIC FORMALISM OF QUANTUM MECHANICS
THE C∗-ALGEBRAIC FORMALISM OF QUANTUM MECHANICS

... Now we wish to do something similar with the states of a classical system. That is to say, we would like to examine the mathematical description of states in classical mechanics, and arrive at a result that we can hopefully take as an axiom for our theory of quantum mechanics. There is a natural way ...
THE TRIANGLE INEQUALITY AND THE DUAL GROMOV
THE TRIANGLE INEQUALITY AND THE DUAL GROMOV

... Inspired by the groundbreaking work of Connes [2, 3] in noncommutative geometry and its metric aspects, Rieffel introduced the notion of a compact quantum metric space [14,16–19] and the quantum Gromov-Hausdorff distance [20,23–25,27], a fascinating generalization of Gromov-Hausdorff distance to non ...
Reversible Computing - UF CISE
Reversible Computing - UF CISE

Random numbers, coin tossing
Random numbers, coin tossing

Quantum fluctuation relations: Foundations and applications
Quantum fluctuation relations: Foundations and applications

... described by a canonical distribution of the form of Eq. (2). It hence is of statistical nature. Its use and properties are discussed in many textbooks on statistical mechanics. The other ingredient, concerning the dynamics of the system, is the principle of microreversibility. This point needs some ...
Quantum vs. Classical Magnetization Plateaus of S=1/2 Frustrated
Quantum vs. Classical Magnetization Plateaus of S=1/2 Frustrated

Distance between quantum states in the presence of initial qubit
Distance between quantum states in the presence of initial qubit

Sheaf Logic, Quantum Set Theory and The Interpretation of
Sheaf Logic, Quantum Set Theory and The Interpretation of

... this challenge: explain how Shor’s algorithm works... When Shor’s algorithm has factorized a number, using 10500 or so times the computational resources that can be seen to be present, where was the number factorized ? There are only about 1080 atoms in the entirely universe, an utterly minuscule nu ...
Coherent and incoherent evolution of qubits in
Coherent and incoherent evolution of qubits in

... waves and double defects • Spin qubits at defects and the use of control spins ...
Time-bin entangled qubits for quantum communication created by
Time-bin entangled qubits for quantum communication created by

... like quantum teleportation or entanglement swapping, and due to their ability to be transported in optical fibers, photons are the best candidates for long-distance applications 关1兴. Even though some of these protocols have already been experimentally realized 关2– 8兴, none of them was optimized for ...
The quantum phases of matter - Subir Sachdev
The quantum phases of matter - Subir Sachdev

... and Kivelson9 described RVB physics in terms of the ‘quantum dimer’ model, and discovered a remarkable solvable point at which the simplest RVB state, the equal superposition of all nearest-neighbor singlet pairings, was the exact ground state. Fradkin and Kivelson10 showed that the quantum dimer mo ...
Is a random state entangled ?
Is a random state entangled ?

... The probabilistic method in quantum information theory The probabilistic method: use random techniques to show existence of objects for which explicit constructions are not known (Erdős–Rényi ; Shannon). Major revolution in combinatorics since 1950s ! A priori, Quantum Information Theory is a goo ...
Fifth Quantum Thermodynamics Conference (QTD5)
Fifth Quantum Thermodynamics Conference (QTD5)

Computational Methods for Simulating Quantum Computers
Computational Methods for Simulating Quantum Computers

... Computer simulation has since long been accepted as the third methodology in many branches of science and engineering [34]. Conventional computers can be used to simulate quantum computers that are relative small (e.g. 24 qubits) but are significantly larger than the experimental machines that have b ...
Selection rules for nonradiative carrier relaxation processes in
Selection rules for nonradiative carrier relaxation processes in

The Light of Existence
The Light of Existence

... physics see light as an electro-magnetic Ponzi scheme? Ancient light, such as cosmic background radiation, has traveled the universe for billions of years to reach us but still arrives at the speed of light. It is colder because the expansion of space has increased its wavelength, but its speed and ...
continuous vs discrete processes: the
continuous vs discrete processes: the

TiberCAD: towards multiscale simulation of optoelectronic devices
TiberCAD: towards multiscale simulation of optoelectronic devices

Multiphoton population transfer between rovibrational states of HF: adiabatic
Multiphoton population transfer between rovibrational states of HF: adiabatic

... reach up to ν = 4. Compared to the 2% chirp we needed as shown in figure 1, this is a relatively large chirp. The peak intensity used in figure 1 is the lowest intensity at which we could get the system to transfer with 100% efficiency for the aforementioned pulse duration and chirp. Table 1 lists t ...
85, 155302 (2012)
85, 155302 (2012)

... We consider an alternative route to identifying the TQCP: an ac measurement. For the sake of definiteness, we consider below (Fig. 2) the ac conductivity across a 1D nanowire contacted by s-wave superconducting leads which produces the proximity effect. For ac conductivity measurements, depending on ...
APPENDIX A
APPENDIX A

Department of Physics, Chemistry and Biology Master’s Thesis
Department of Physics, Chemistry and Biology Master’s Thesis

Improved Quantum Metrology Using Quantum Error Correction
Improved Quantum Metrology Using Quantum Error Correction

Generalized Bloch Vector and the Eigenvalues of a
Generalized Bloch Vector and the Eigenvalues of a

... with arbitrary number of levels (see Section 2.2 for 3-level system (qutrit) and Section 2.3 for general case). Unfortunately for quantum systems with more than 2 levels (qutrit, for example) the correspondence is not so clear anymore as in the qubit case, because the subset of points of the Bloch b ...
User Guide for the FLS980 Integrating Sphere
User Guide for the FLS980 Integrating Sphere

< 1 ... 34 35 36 37 38 39 40 41 42 ... 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