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A limit relation for quantum entropy, and channel capacity per unit cost
A limit relation for quantum entropy, and channel capacity per unit cost

Triple to quintuple quantum dots for making multiple qubits
Triple to quintuple quantum dots for making multiple qubits

Theoretical and empirical reasons for considering the application of
Theoretical and empirical reasons for considering the application of

... respect to some judgment. Of course, it is not known what the person’s true state is at each moment, and so the model can only assign a probability to a response with some value at each moment. But the model is stochastic only because it does not know exactly what trajectory (de…nite state at each ...
University of Birmingham A New Optical Gain Model for Quantum
University of Birmingham A New Optical Gain Model for Quantum

computing
computing

Experimental quantum teleportation articles
Experimental quantum teleportation articles

PDF ∗ , 88K - UCLA Chemistry and Biochemistry
PDF ∗ , 88K - UCLA Chemistry and Biochemistry

... Wx is a negative imaginary potential located in asymptotic channel x ) a, b and G(E) ) (E - H + iW)-1 is the total Green’s function for this system. Note that W is the total imaginary potential in all asymptotes. This theory is very flexible and easy to implement in many types of electronic structur ...
Proof that Casimir force does not originate from vacuum energy
Proof that Casimir force does not originate from vacuum energy

Can many-valued logic help to comprehend quantum phenomena?
Can many-valued logic help to comprehend quantum phenomena?

... domain of 2-valued logic. If in this description 2-valued logic is replaced by many-valued logic, the GHZ ‘paradox’ could not be derived. In order to make usage of 2-valued logic in the derivation of the GHZ ‘paradox’ clearly visible, we present in the next subsection the equivalent derivation of th ...
The Physical Implementation of Quantum Computation David P. DiVincenzo
The Physical Implementation of Quantum Computation David P. DiVincenzo

... of the quantum computation grows. So, once the desired threshold is attainable, decoherence will not be an obstacle to scalable quantum computation. Having said this, it must be admitted that it will be some time before it is even possible to subject quantum error correction to a reasonable test. Ne ...
PDF
PDF

... programs, in much the same way as one solves equations in high school algebra [15]. Unlike quantum circuits, the quantum lambda calculus provides a unified framework that is universal for quantum computation without the need to rely on a separate model of classical computation. In a practical vein, ...
Consciousness and Quantum Theory: Strange Bedfellows  Barry Loewer
Consciousness and Quantum Theory: Strange Bedfellows Barry Loewer

Heralded atomic-ensemble quantum memory for photon polarization states
Heralded atomic-ensemble quantum memory for photon polarization states

... storage is announced without giving away the incoming quantum state (figure 2(b)). In the case discussed here, a single photon of fixed polarization announces the successful storage of a photon of unknown, or even potentially undetermined, polarization. Such a heralded storage is achieved by means o ...
Shamsul Kaonain
Shamsul Kaonain

Coupled Quantum– Atomistic and Quantum–Continuum Mechanics
Coupled Quantum– Atomistic and Quantum–Continuum Mechanics

Second Lecture: Towards an implementation of surface hopping
Second Lecture: Towards an implementation of surface hopping

About possible extensions of quantum theory
About possible extensions of quantum theory



... (metallic grains). As we analytically show, the Zeeman effect induced by a parallel magnetic field can establish such separation criterion. More specifically, the phenomenological signal that distinguishes the two alluded systems appears more strongly in the noise, and very weakly in the conductance ...
An Analysis of the Quantum Penny Flip Game using Geometric
An Analysis of the Quantum Penny Flip Game using Geometric

Long-Range Correlations in the Nonequilibrium Quantum Relaxation of a Spin... V 85, N 15
Long-Range Correlations in the Nonequilibrium Quantum Relaxation of a Spin... V 85, N 15

... Nonequilibrium dynamical properties of quantum systems have been of interest recently, experimentally and theoretically. Measurements on magnetic relaxation at low temperatures show deviations from the classical exponential decay [1], which was explained by the effect of quantum tunneling. On the th ...
Solid State NMR Studies of Complex Two Dimensional Structures
Solid State NMR Studies of Complex Two Dimensional Structures

Individual Particles, Properties and Quantum - Philsci
Individual Particles, Properties and Quantum - Philsci

Repeated Quantum Nondemolition Measurements of Continuous
Repeated Quantum Nondemolition Measurements of Continuous

Quantum Superpositions and Causality: On the Multiple Paths to the
Quantum Superpositions and Causality: On the Multiple Paths to the

... (Eleatic) logic and the materialistic ideal of ‘res extensa’ together with actuality as its mode of existence. In classical mechanics the representation of the state of the physical system is given by a point in phase space Γ and the physical magnitudes are represented by real functions over Γ. Thes ...
Size-dependent energy levels of CdTe quantum dots
Size-dependent energy levels of CdTe quantum dots

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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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