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A system`s wave function is uniquely determined by its
A system`s wave function is uniquely determined by its

... showed that any complete model Λ is Ψ-ontic if it satisfies an assumption, termed “preparation independence”. It demands that Λ consists of separate variables for each subsystem, e.g., Λ = (ΛA , ΛB ) for two subsystems SA and SB , and that these are statistically independent, i.e., PΛA ΛB = PΛA PΛB ...
Quantum and Classical Query Complexities of Local Search are
Quantum and Classical Query Complexities of Local Search are

Defining and Measuring Multi-partite Entanglement
Defining and Measuring Multi-partite Entanglement

Notes on the “Advanced Tools and Concepts” section of the full day
Notes on the “Advanced Tools and Concepts” section of the full day

... In the real word (or even the real lab), things are rarely this simple. I want to show you some tools that can let you generalise the models you’ve come across so far to apply in more realistic situations. It turns out that doing this will also teach us some profound things about the meaning of the ...
Historical introduction to quantum mechanics
Historical introduction to quantum mechanics

... blackbody that contained „resonators” which were charges that could oscillate harmonically. He applied statistical physics introduced by Boltzmann but had to make a drastic, quite unjustified assumption (at that time): ...
LECTURES ON SYMPLECTIC REFLECTION ALGEBRAS 12. Calogero-Moser systems and quantum mechanics X
LECTURES ON SYMPLECTIC REFLECTION ALGEBRAS 12. Calogero-Moser systems and quantum mechanics X

Decay rates of planar helium - the Max Planck Institute for the
Decay rates of planar helium - the Max Planck Institute for the

... the dynamics of fragmentation is planar, even for non-zero angular momentum. In the presence, e.g., of an external electromagnetic field, angular momentum is however not conserved. Notwithstanding, even if an external perturbation mixes the angular degrees of freedom of the two-electron dynamics, th ...
mjcrescimanno.people.ysu.edu
mjcrescimanno.people.ysu.edu

... And since the hamiltonian is even, the expectation value on energy eigenstates of odd functions are identically zero. ...
COPYRIGHT 2002 SCIENTIFIC AMERICAN, INC.
COPYRIGHT 2002 SCIENTIFIC AMERICAN, INC.

Slides
Slides

Lecture I
Lecture I

Limitations on quantum dimensionality reduction
Limitations on quantum dimensionality reduction

... where the second inequality follows from Lemma 6, assuming that e  d. We have shown that e  ð1  Þð1  Þ 2 d, completing the proof of the theorem. 3. Operational Meaning of the 2-Norm In this section, we discuss the meaning of the 2-norm distance between quantum states. It is usually assumed tha ...
View Commentary  - Journal Club for Condensed Matter Physics
View Commentary - Journal Club for Condensed Matter Physics

... by relativistic Lagrangians like those in (1) in both the ordered and disordered phases, and at the quantum critical point between them. Ruegg et al. (Phys. Rev. Lett. 100, 205701 (2008)) performed neutron scattering measurements on the three-dimensional insulating antiferromagnet TlCuCl3 . Under am ...
QUANTIZATION OF DISCRETE DETERMINISTIC THEORIES BY
QUANTIZATION OF DISCRETE DETERMINISTIC THEORIES BY

Experimental Optimal Cloning of Four
Experimental Optimal Cloning of Four

Towards Fully Quantum Mechanical 3D Device Simulations
Towards Fully Quantum Mechanical 3D Device Simulations

... the Fermi level and the potential at the contacts are then shifted according to the applied potential which fixes the boundary conditions. The main iteration scheme itself consists of two parts. In the first part, the wave functions and potential are kept fixed and the quasiFermi levels are calculat ...
The permutation gates combined with the one
The permutation gates combined with the one

... At the most basic level of quantum mechanics one must respect the uncertainty principle, and hence the classical control theory cannot be naively extended without modification [27]. Given appropriate experimental testing grounds, it should become feasible to develop a technically useful quantum cont ...
A 2D Quantum Walk Simulation of Two
A 2D Quantum Walk Simulation of Two

The Weirdness of Quantum Mechanics
The Weirdness of Quantum Mechanics

Anesthesia, Consciousness and Hydrophobic Pockets
Anesthesia, Consciousness and Hydrophobic Pockets

... computer is prohibitive. Perhaps protein folding is a quantum computation? (Crowell, 1996). The main driving force in protein folding occurs as uncharged non-polar amino acid groups join together, repelled by solvent water. These "hydrophobic" groups attract each other by van der Waals forces and bu ...
The quantum phases of matter
The quantum phases of matter

Chaos and the semiclassical limit of quantum mechanics (is the
Chaos and the semiclassical limit of quantum mechanics (is the

A Quantum Rosetta Stone for Interferometry
A Quantum Rosetta Stone for Interferometry

Quantum walk based search algorithms
Quantum walk based search algorithms

A scheme for efficient quantum computation with linear optics
A scheme for efficient quantum computation with linear optics

... the requirement for non-linear couplings between optical modes containing few photons. Here we show that ef®cient quantum computation is possible using only beam splitters, phase shifters, single photon sources and photo-detectors. Our methods exploit feedback from photo-detectors and are robust aga ...
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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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