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Natural Nonlinear Quantum Units and Human Artificial Linear
Natural Nonlinear Quantum Units and Human Artificial Linear

Categorifying Fundamental Physics John Baez Despite the
Categorifying Fundamental Physics John Baez Despite the

... space equipped with a 3-form instead of the usual 2-form? Amusingly, the answer to this puzzle goes back to the work of DeDonder [28] and Weyl [29] in the 1930s, which later gave rise to an interesting subject called ‘multisymplectic geometry’ [30, 31, 32]. Recently this has been taken up by Rovelli ...
spin liquids - IPhT
spin liquids - IPhT

Coleman progress - Rutgers Physics
Coleman progress - Rutgers Physics

Two electrons in a cylindrical quantum dot under constant magnetic
Two electrons in a cylindrical quantum dot under constant magnetic

Spécialité de M2 : Concepts Fondamentaux de la Physique
Spécialité de M2 : Concepts Fondamentaux de la Physique

... doping. The experiment is challenging, since the amplitude of the orbital magnetism is small, and paramagnetic impurities can dominate the signal in samples of insufficient quality. The measurement will use Hall bars, that are compatible with an electrostatic control of graphene’s doping level. Mono ...
Quantum Numbers - Chemwiki
Quantum Numbers - Chemwiki

Interpretations of Quantum Mechanics: a critical - Philsci
Interpretations of Quantum Mechanics: a critical - Philsci

... one can conclude that the state is entangled: the Bell inequality[3]. A Bell inequality is satisfied by all states which are not entangled.Thus, if a violation of a Bell inequality is observed the state which describes the results is entangled. Interestingly, Bell inequalities were first introduced ...
doc - StealthSkater
doc - StealthSkater

Manipulation and detection of electron charge/spin qubits
Manipulation and detection of electron charge/spin qubits

Quantum energy gaps and first-order mean-field transitions
Quantum energy gaps and first-order mean-field transitions

... In a nutshell, the reason why quantum annealing is not an efficient strategy for finding the ground state across a first-order transition can be understood from a simple, qualitative argument. Quantum annealing could in principle be more efficient than thermal annealing for certain classes of proble ...
Informational axioms for quantum theory
Informational axioms for quantum theory

Identity in Physics: Statistics and the (Non
Identity in Physics: Statistics and the (Non

... Two important remarks must be added, however. First, Muller, Saunders and Seevinck claim that weakly discernible objects are not individuals but ‘relationals’, which entails that PII still doesn’t ground individuality in the quantum case. However, the distinction between individuals and relationals ...
De Broglie Wavelets versus Schrodinger Wave Functions
De Broglie Wavelets versus Schrodinger Wave Functions

Prime Factorization Using Quantum Annealing and Algebraic
Prime Factorization Using Quantum Annealing and Algebraic

How to program a quantum computer
How to program a quantum computer

What is the meaning of the wave function?
What is the meaning of the wave function?

What is the meaning of the wave function?
What is the meaning of the wave function?

... beables corresponding to all observables (or even to certain classes of observables)10 . Note also that the wave function itself is not “visible”; like all theoretical concepts, it is inferred. 3. Non locality and Bell’s theorem. Here is a puzzle11 : two persons, call them X and Y , leave a room thr ...
Quantum Dynamics as Generalized Conditional Probabilities
Quantum Dynamics as Generalized Conditional Probabilities

... ure of the generation of Y . For example, X may be the result of sending Y through a noisy channel described by a stoch Y trix ΓX|Y . (c) X and Y are the result of some common cause, described by a random variable Z. They may be observe r acelike separation from one another, provided the points wher ...
algebraic quantization and t
algebraic quantization and t

... in the action (or Hamiltonian). Thus kinematical and dynamical aspects of the quantization procedure turn out to be inextricably linked to each other. The main purpose of the quantization method (yet another one!) presented in this Letter is to explain this very linkage in a transparent algebraic la ...
Fundamental quantum limit in Mach
Fundamental quantum limit in Mach

... physics. For example a lot of discussions in the scientific literature was done, dedicated to improve gravitational radiation using Quantum Mechanical interferometry [1,2]. Much work has been done on reduction of the quantum noise by using input light prepared in non-classical states [3–9]. Because ...
neuro-ontological interpretation of spiritual experiences
neuro-ontological interpretation of spiritual experiences

... and Brahman (universal consciousness) are one.” In other words, if you descend into the depth of your psyche you will arrive at something common in you and in everything. One discovers this by consistently looking inward until “within” becomes “beyond”. In the other direction, if you look far and de ...
MICHELSON-MORLEY EXPERIMENTS REVISITED and the
MICHELSON-MORLEY EXPERIMENTS REVISITED and the

Quantum Optics - Assets - Cambridge University Press
Quantum Optics - Assets - Cambridge University Press

Quantum Szilard Engine - Physics (APS)
Quantum Szilard Engine - Physics (APS)

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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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