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Quantum Computation and Quantum Information – Lecture 2
Quantum Computation and Quantum Information – Lecture 2

... E.g.: there do not exist  for which ...
Quantum physics I
Quantum physics I

SAND Quantum Theory of What
SAND Quantum Theory of What

quantum scale
quantum scale

Quantum dynamics with ~10 6 - Weizmann Institute of Science
Quantum dynamics with ~10 6 - Weizmann Institute of Science

... quantum information Can many-body quantum dynamics be reversed as well? (“Magic” echo, Pines 1970’s, “polarization” echo, Ernst 1992) ...
Fri., May 6, 12:45 pm
Fri., May 6, 12:45 pm

Quantum Information Science
Quantum Information Science

Quantum mechanics in the brain
Quantum mechanics in the brain

... show discrepancies of ten orders of magnitude in the work of different authors. It is therefore better to turn to hard experimental realities and abstract computational theory to find the neural correlates of quantum processes in the brain. Quantum computations are difficult to implement. In its sim ...
Slajd 1 - Faculty of Physics University of Warsaw
Slajd 1 - Faculty of Physics University of Warsaw

... The most general quantum strategies could improve the precision by at most 8% ...
Project A11
Project A11

... of new compounds have been synthesized where frustration is present. One of these compounds is Cs2 CuCl4x Brx which has been synthesized in project B4 (Ritter/Aßmus), experimentally investigated in project B1 (Wolf/Lang) [9], while band-structure calculations have been performed in project B2 (Jesc ...
III. Quantum Model of the Atom
III. Quantum Model of the Atom

III. Quantum Model of the Atom
III. Quantum Model of the Atom

inverse quantum states of hydrogen
inverse quantum states of hydrogen

Bender
Bender

... Leading asymptotic behavior: ...
III. Quantum Model of the Atom
III. Quantum Model of the Atom

Department of Mathematics Research Colloquia 1998 – 2000  Dec 8 2000
Department of Mathematics Research Colloquia 1998 – 2000 Dec 8 2000

... Conventional programmable computers are electronic civil servants. They can and will do nothing that has not been explained to them in full detail. In the real world, where data are messy and inconsistent, and where the number of possible situations to be acted upon is infinite, there is no way of s ...
Aug 29 - BYU Physics and Astronomy
Aug 29 - BYU Physics and Astronomy

The evolution of arbitrary computational processes
The evolution of arbitrary computational processes

... other frequently cited problems only a small set of domain-specific functions are made available, providing nothing approaching computational universality. But early work in the field showed how one could generalize the potential computational structures by including conditionals, implicit iteration ...
Document
Document

... •Charged systems are the basic model of condensed matter physics How can this be done with cold atoms? ÞHow can they be simulated with Quantum Monte Carlo? Phase diagram of the “one component plasma” in 2D (as important as hubbard model?) ...
CHEM 532 Physical Chemistry II (Quantum Chemistry) Fall 2013
CHEM 532 Physical Chemistry II (Quantum Chemistry) Fall 2013

... enrolls in Washington State University, the student assumes an obligation to pursue academic endeavors in a manner consistent with the standards of academic integrity adopted by the University. To maintain the academic integrity of the community, the University cannot tolerate acts of academic dish ...
Atomic, Molecular and Optical Physics
Atomic, Molecular and Optical Physics

Talk(3.1)
Talk(3.1)

... Small scale quantum computers (e.g. needed for long distance quantum communication): medium term Large scale quantum computers: medium-long term Precise times are hard to predict since we are in the early stages and still trying a very broad range of approaches. Once we focus on technologies that sh ...
A spectral theoretic approach to quantum
A spectral theoretic approach to quantum

... • This theorem improves partial results due to Weigert (1992) and Crehan (1995) and complements the results of Matveev and Topalov (2001) on quantum integrability of Laplacians on closed manifolds with non-proportional geodesically ...
PPT - LSU Physics & Astronomy
PPT - LSU Physics & Astronomy

... loss in order to maximize the extraction of the available phase information in an interferometer. Our approach optimizes over the entire available input Hilbert space with no constraints, other than fixed total initial photon number. ...
Course Syllabus
Course Syllabus

< 1 ... 177 178 179 180 181 182 183 184 185 ... 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.
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