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Spectroscopy - Metameso.org
Spectroscopy - Metameso.org

... pre-burner nebulizer (or nebulizing chamber) to create a sample mist and a slot-shaped burner which gives a longer pathlength flame. The temperature of the flame is low enough that the flame itself does not excite sample atoms from their ground state. The nebulizer and flame are used to desolvate an ...
On Zurek`s Derivation of the Born Rule
On Zurek`s Derivation of the Born Rule

... Other attempts towards a consistent derivation of the Born probabilities have previously been made in particular in the context of relative-state interpretations where both the meaning of probabilities and their relation to Born’s rule requires explicit elucidation (see, for example, Refs. 5–10), bu ...
Certainty relations, mutual entanglement, and nondisplaceable
Certainty relations, mutual entanglement, and nondisplaceable

Ockham`s razor and the interpretations of quantum mechanics
Ockham`s razor and the interpretations of quantum mechanics

Non-Abelian Anyons and Topological Quantum Computation
Non-Abelian Anyons and Topological Quantum Computation

Decoherence and open quantum systems
Decoherence and open quantum systems

... In quantum information theory entanglement is used as a source for many different applications, for instance in quantum cryptography, teleportation schemes or quantum computation. To keep this entanglement in the system as long as possible we have to protect it against different environmental influe ...
Spectroscopic Selection Rules: The Role of Photon States
Spectroscopic Selection Rules: The Role of Photon States

... Quantum electrodynamics is concerned with the application of quantum mechanics to the motion of charged particles and electromagnetic fields. When applied to the latter, the radiation field is found to be quantized, giving rise to the familiar concept of photons. Further, these light quanta, like at ...
Notes on Semiclassical Gravity
Notes on Semiclassical Gravity

... the energy-momentum tensor can act as the source for a semiclassical, c-number, gravitational field. The basic issues can be understood from the study of the semiclassical limit of a toy model, consisting of two interacting particles, which mimics the essential properties of quantum general relativi ...
Steady State Entanglement in Quantum Dot Networks
Steady State Entanglement in Quantum Dot Networks

Helium atom - ChaosBook.org
Helium atom - ChaosBook.org

... quantum mechanical properties of nothing less than the helium, a dreaded threebody Coulomb problem. This sounds almost like one step too much at a time; we all know how rich and complicated the dynamics of the three-body problem is – can we really jump from three static disks directly to three charg ...
Helium atom - ChaosBook.org
Helium atom - ChaosBook.org

Biological Autonomy - Chapman University Digital Commons
Biological Autonomy - Chapman University Digital Commons

A Combinatorial Approach to Nonlocality and Contextuality
A Combinatorial Approach to Nonlocality and Contextuality

... outcomes in common. We show how the Foulis–Randall product of test spaces is the ‘correct’ product of two or more contextuality scenarios, in the sense that it describes parallel execution of these scenarios and naturally incorporates the no-signaling condition. In particular, the Bell scenarios whi ...
Bohr`s Complementarity and Kant`s Epistemology
Bohr`s Complementarity and Kant`s Epistemology

... external cause of experienced phenomena. Conversely, a transcendental structure exceeds experience because it is a precondition of experience: it shapes experience without being part of experience. Moreover, as long as the act of knowing develops, such a transcendental structure is bound to remain i ...
Martin Raith - Publikationsserver der Universität Regensburg
Martin Raith - Publikationsserver der Universität Regensburg

Geometric theory of nonlocal two-qubit operations Jun Zhang, Jiri Vala, Shankar Sastry,
Geometric theory of nonlocal two-qubit operations Jun Zhang, Jiri Vala, Shankar Sastry,

Unitarity as Preservation of Entropy and Entanglement in Quantum
Unitarity as Preservation of Entropy and Entanglement in Quantum

Many Body Quantum Mechanics
Many Body Quantum Mechanics

Adenilton José da Silva
Adenilton José da Silva

... development of computer systems whose components will be on such a small scale that quantum physics intrinsic properties must be taken into account. The expression quantum computation and a first formal model of a quantum computer were first employed in the eighties. With the discovery of a quantum ...
quantum mechanical methods for enzyme kinetics
quantum mechanical methods for enzyme kinetics

The Compton-Schwarzschild correspondence from extended de
The Compton-Schwarzschild correspondence from extended de

Introduction to Group Field Theory
Introduction to Group Field Theory

... The Helsinki Workshop on Quantum Gravity, 01/06/2016 ...
spin squeezing and quantum entanglement in interaction
spin squeezing and quantum entanglement in interaction

Gregor Wentzel - National Academy of Sciences
Gregor Wentzel - National Academy of Sciences

Tensor Product Methods and Entanglement
Tensor Product Methods and Entanglement

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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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