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Connecting processing-capable quantum memories over telecommunication links via quantum frequency conversion
Connecting processing-capable quantum memories over telecommunication links via quantum frequency conversion

... into an output of a different frequency while its quantum state is preserved. It is this state-preserving feature of SFG and DFG that enables the QFC operation. To build QFC devices compatible with the quantummemory devices described in sections 3 and 4, we consider the use of planar PPLN waveguides ...
Introduction to quantum spin systems
Introduction to quantum spin systems

... strongly correlated electron systems like colossal magnetoresistance [4] and heavy fermions [5, 6]. Quantum phase transition [7, 8] is the other play ground where quantum magnetism models have an important role. A phase transition which takes place at zero temperature upon change of a parameter like ...
The Superposition Principle in Quantum Mechanics
The Superposition Principle in Quantum Mechanics

Dilution-Controlled Quantum Criticality in Rare-Earth Nickelates J.V. Alvarez, H. Rieger, and A. Zheludev
Dilution-Controlled Quantum Criticality in Rare-Earth Nickelates J.V. Alvarez, H. Rieger, and A. Zheludev

... the classical 2D Ising model both for periodic and disordered dilution patterns (note that the critical behavior of the randomly diluted 2D Ising model differs from the one of the pure 2D Ising model only by logarithmic corrections [12]). This suggests that the building blocks of the effective criti ...
Tensor Networks, Quantum Error Correction, and
Tensor Networks, Quantum Error Correction, and

Cognitive Issues in Learning Advanced Physics: An Example from
Cognitive Issues in Learning Advanced Physics: An Example from

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pdf

Universal turning point behavior for Gaussian
Universal turning point behavior for Gaussian

1 - Cardinal Scholar Home
1 - Cardinal Scholar Home

... related to the intensity of the radiation, and emission should occur when the electron absorbed enough energy to escape from the metal. emission was always observed to be instantaneous. ...
Consequences and Limits of Nonlocal Strategies
Consequences and Limits of Nonlocal Strategies

Composite systems and their representation in quantum and
Composite systems and their representation in quantum and

Metric fluctuations and decoherence
Metric fluctuations and decoherence

... quantum particles and, thus, leads to an apparent violation of the equivalence principle which gave additional motivation to performing improved atom interferometric tests of the equivalence principle. Here we derived another, complementary, implication of such spacetime fluctuations, namely decoher ...
Encountering Productive Forms of Complexity in Learning Modern
Encountering Productive Forms of Complexity in Learning Modern

Matchgate and space-bounded quantum computations are equivalent
Matchgate and space-bounded quantum computations are equivalent

Foundations and Measures of Quantum Non
Foundations and Measures of Quantum Non

Quantum memory for superconducting qubits 兲
Quantum memory for superconducting qubits 兲

... other. Although the lowest pair of levels in a harmonic oscillator cannot be frequency selected by an external driving field, resonators are quite desirable as coupling elements because of their potential for having extremely high quality factors. In JJ-resonator architectures, the resonators store ...
The Effect of Communication Costs in Solid
The Effect of Communication Costs in Solid

Ultimate Intelligence Part I: Physical Completeness and Objectivity
Ultimate Intelligence Part I: Physical Completeness and Objectivity

PDF
PDF

Phys. Rev. Lett. 108, 100501 - APS Link Manager
Phys. Rev. Lett. 108, 100501 - APS Link Manager

... FIG. 1 (color online). Setup for the proposed gate. (a) Depending on the state of the qubits A and B, the quantum bus (atoms shown as black dots) in the crystalline phase will possess a different ground state, where the distance between two excitations aR is altered. This intuitively corresponds to ...
An Introduction to Quantum Fluid of Light
An Introduction to Quantum Fluid of Light

... Fluid of Light in the LKB Group 2.1 Fluid of polaritons . . . . . . . . ...
Measuring the quantum mechanical wave function
Measuring the quantum mechanical wave function

... Measuring the quantum mechanical wave function M. G. RAYMER In the past few years experimenters have learned how to determine the complete quantum state of an ensemble of particles or ® elds which have been prepared according to some unknown procedure. Through these experiments they have answered a ...
Quantum Optics Experiments with Single Photons for Undergraduate Laboratories
Quantum Optics Experiments with Single Photons for Undergraduate Laboratories

... photon. Indeed, the quantum theory of down-conversion indicates that the frequencies are entangled, but this experiment proves only that they are correlated. This effect was also seen in Refs. [9] and [5]. 3. Two Photon Interference Single-photon interference is a good starting point for studying qu ...
QUANTUM COMPUTING WITH SUPERCONDUCTORS I: ARCHITECTURES Michael R. Geller Andrew T. Sornborger
QUANTUM COMPUTING WITH SUPERCONDUCTORS I: ARCHITECTURES Michael R. Geller Andrew T. Sornborger

Multiparty Quantum Coin Flipping
Multiparty Quantum Coin Flipping

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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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