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Quantum Turbulence - University of Warwick
Quantum Turbulence - University of Warwick

... • Its Hamiltonian includes components described as the kinetic, quantum and interaction energies The total should not decay in time except through unknown physics or through interactions with the boundaries. • However, it will be shown that energy can be transferred between the components so that th ...
- Philsci
- Philsci

- Philsci
- Philsci

Commun. Math. Phys. 227, 605 (2002).
Commun. Math. Phys. 227, 605 (2002).

Do Quantum Objects Have Temporal Parts? - Philsci
Do Quantum Objects Have Temporal Parts? - Philsci

... This argument serves two aims. The first is to continue the recent tradition of addressing the problem of persistence in the context of specific physical theories: Balashov (2010); Gilmore (2008) consider special relativity; Butterfield (2005, 2006) considers classical mechanics. The second aim is t ...
Hermite polynomials in Quantum Harmonic Oscillator
Hermite polynomials in Quantum Harmonic Oscillator

... In quantum mechanics and in other branches of physics, it is common to approach physical problems using algebraic and analytic methods. Examples include the use of differential equations for many interesting models, the use of quantum groups in quantum physics, and of differential geometry in relati ...
Document
Document

SEGUNDO WORKSHOP INFORMACIÌN CUÊNTICA EN ESPAÑA
SEGUNDO WORKSHOP INFORMACIÌN CUÊNTICA EN ESPAÑA

... Quantum memories (QM) for light, which allow a coherent and reversible transfer of quantum information between light and long lived matter quantum bits, are crucial devices in quantum information science [1]. In particular they enable to interface stationary quantum bits (encoded in atom-like system ...
Quantum connection and Poincare19 e--Cartan form
Quantum connection and Poincare19 e--Cartan form

... The above procedure can be easily extended to classical and quantum multi–body systems. The above covariant theory can be extended to particles with spin; in this way, we obtain a generalised Pauli equation and all that. Several techniques of the above theory (including the Lie algebra of quantisabl ...
Can Mind Affect Matter Via Active Information?
Can Mind Affect Matter Via Active Information?

Details of Approved Courses For Mphil/Ms, Mphil Leading To Phd
Details of Approved Courses For Mphil/Ms, Mphil Leading To Phd

... Phys 588 Materials Science-I: 03Cr.hr Crystallography. Translational periodicity. Crystal classes. Crystal forms. Point and space groups. Crystal growth. Methods of purification. Zone refining. Zone levelling. Impurity control. Methods of perturbing the concertration of impurities in semiconductors. ...
Get PDF - OSA Publishing
Get PDF - OSA Publishing

Quantum control of a model qubit based on a multi - FaMAF
Quantum control of a model qubit based on a multi - FaMAF

... orbital angular momentum quantum number. On the other hand, note that since the exact solution of the eigenvalue problem involves the roots of transcendental equations, it can be difficult to figure out how many quasi-degenerate eigenvalues has the problem. This difficulty is particularly cumbersome ...
Resonant Tunneling Between Quantum Hall Edge States
Resonant Tunneling Between Quantum Hall Edge States

are WAVES. PARTICLES!
are WAVES. PARTICLES!

... The Aspect Experiment “Copenhagen” this guy’s Instant action says at a distance isn’t properties arequantum undefined until possible, so mechanics measurement happens here. must not be “complete.” ...
An introduction to Quantum Complexity
An introduction to Quantum Complexity

... Goal of computational complexity: classify problems according to amount of resources needed for solving them Why is this quantity well-defined? ...
noise - Michael Nielsen
noise - Michael Nielsen

Quantum Gaussian Noise - Research Laboratory of Electronics
Quantum Gaussian Noise - Research Laboratory of Electronics

... photon-flux operator. The Glauber coherent states are Gaussian quantum states which represent classical electromagnetic radiation. Quantum photodetection of these states yields statistics that are indistinguishable from the corresponding Poisson point-process results of semiclassical photodetection. ...
L. Bell*, et. al., "THz emission by Quantum Beating in a Modulation
L. Bell*, et. al., "THz emission by Quantum Beating in a Modulation

Doubly infinite separation of quantum information and communication Please share
Doubly infinite separation of quantum information and communication Please share

Limitations on the superposition principle: superselection
Limitations on the superposition principle: superselection

Quantum mechanics in more than one
Quantum mechanics in more than one

... Chapter 4 ...
Fourier Transform, Period Finding and Factoring in BQP Lecture 4 1
Fourier Transform, Period Finding and Factoring in BQP Lecture 4 1

 View the full paper here
 View the full paper here

... notice how much our understanding of what information is and what cells are changed. Other concepts, generalities mostly (such as matter), remain rather stagnant, in defiance of evidence that undermines their significance: Is a black hole matter or energy? Complexity, in everyone’s mouth and under e ...
What quantum computers may tell us about quantum mechanics
What quantum computers may tell us about quantum mechanics

... Useful quantum algorithms such as Shor’s algorithm are not plentiful, and it is unknown how many classes of problems will ultimately benefit from quantum computation. In pursuit of useful quantum algorithms, it’s natural to investigate what makes a quantum computer powerful. The answer to this quest ...
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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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