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Three Quantum Algorithms to Solve 3-SAT
Three Quantum Algorithms to Solve 3-SAT

The Blind Men and the Quantum
The Blind Men and the Quantum

... • The simple answer is “No!”. It is the formalism of quantum mechanics that makes the testable predictions. • As long as an interpretation is consistent with the formalism, it will make the same predictions as any other interpretation, and no experimental tests are possible. • However, there is a ne ...
lattice approximations
lattice approximations

... and extrinsic!), compatible with the structure of constraints. Positivity of gravitational energy implemented on every level of discrete approximations of geometry. Representation of the observable algebra on every level of discrete approximations. Replacing of the inductive by a projective system o ...
On How to Produce Entangled States Violating Bell’s Inequalities in... Apoorva Patel Dx by discretising the time interval:
On How to Produce Entangled States Violating Bell’s Inequalities in... Apoorva Patel Dx by discretising the time interval:

... Let us look at the problem again from a slightly different angle. The Euclidean time correlation functions defined along the imaginary time axis are real, and a mere analytic continuation of them cannot produce non-trivial complex phase shift factors that are an an essential part of Minkowski time s ...
Quantum Tic-Tac-Toe: A Genuine Probabilistic Approach
Quantum Tic-Tac-Toe: A Genuine Probabilistic Approach

Quantum Networking and Internetworking
Quantum Networking and Internetworking

... support the movement of data from place to place. The motivations for doing so are the same for both quantum and classical networks: the desire to connect people, devices such as computers or sensors, or databases that are in separate locations, for technical, economic, political, logistical, or som ...
by Dr. Matti Pitkänen
by Dr. Matti Pitkänen

Liquid State NMR Quantum Computing
Liquid State NMR Quantum Computing

PHOTON AS A QUANTUM PARTICLE ∗
PHOTON AS A QUANTUM PARTICLE ∗

... still the theory of light quanta can obviously not be considered as a satisfactory solution of the problem of light propagation.” This paper contained the most unfortunate idea of Bohr. To reconcile the corpuscular and the wave properties of light, the authors put forward a hypothesis that the energ ...
Quantum Information Processing with Trapped Neutral Atoms
Quantum Information Processing with Trapped Neutral Atoms

GRW Theory - Roman Frigg
GRW Theory - Roman Frigg

physics/0607082 PDF
physics/0607082 PDF

Transition amplitudes versus transition probabilities and a
Transition amplitudes versus transition probabilities and a

... ;,,~ 0, the two copies of space-time collapse into one, and only one trajectory, namely the one that is determined by the Newton equations, contributes to the transition probability. The same concept of a reduplicated space-time can be used also in relativistic theories. As a matter of fact, the des ...
quantum phase-space tomography!
quantum phase-space tomography!

Evaluation Work For QuVis: The Quantum Mechanics Visualization Project
Evaluation Work For QuVis: The Quantum Mechanics Visualization Project

... directly observed. By choosing particular interactive elements and limiting their ranges, students can be implicitly guided in their exploration [1-3]. Since 2009 we have been developing and evaluating visualizations and animations (collectively called animations in what follows) for the teaching an ...
slides
slides

Quantum information processing with superconducting qubits in a
Quantum information processing with superconducting qubits in a

... Rabi oscillations with multi-photon exchanges between the two-level system and the microwave field. Different to the case studied here, the microwave field was employed there to drive the gate voltage to oscillate. Here, in order to implement quantum computing, we consider the Cooper-pair box with a ...
Machine learning
Machine learning

... Research group in Machine Learning Conclusion ...
On Many-Minds Interpretations of Quantum Theory
On Many-Minds Interpretations of Quantum Theory

... arisen in “many-minds” interpretations of quantum theory. The paper begins with a brief introduction to the many-minds idea laying particular emphasis on the complexity of quantum states for macroscopic objects. A more thorough introduction at an elementary level is given in Lockwood 1996a. The rela ...
Here
Here

Schumacher Compression
Schumacher Compression

... Given access to many uses of a noiseless classical channel, what is the best that a sender and receiver can make of this resource for compressed data transmission? Shannon’s compression theorem demonstrates that the Shannon entropy is the fundamental limit for the compression rate in the IID setting ...
Слайд 1 - I C R A
Слайд 1 - I C R A

... Canonical approach: no strict proof of gauge invariance of the Wheeler − DeWitt theory Path integral approach contains the procedure of derivation of an equation for a wave function from the path integral, while gauge invariance of the path integral, and the theory as a whole, being ensured by asymp ...
Molecular Magnets in the Field Of Quantum Computing
Molecular Magnets in the Field Of Quantum Computing

philphys - General Guide To Personal and Societies Web Space
philphys - General Guide To Personal and Societies Web Space

quantum states satisfying classical probability constraints
quantum states satisfying classical probability constraints

... item 1) that there exist (2 ) separable quantum states that satisfy the perfect correlation form of the original Bell inequality for any bounded quantum observables (3 ). At present, Bell-type inequalities are widely used in quantum information processing. However, from the pioneering paper of R. We ...
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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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