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Giesecke-Final-ternary-gates
Giesecke-Final-ternary-gates

... logic. They are useful to design oracles for multivalued algorithms such as Deutsch-Jozsa [26] and Grover. ...
Geometric phases and cyclic isotropic cosmologies
Geometric phases and cyclic isotropic cosmologies

Quantum Computing and Hidden Variables
Quantum Computing and Hidden Variables

... related ideas such as Bohmian mechanics and modal interpretations. Section II B addresses the most common objections to our approach: for example, that the implicit dependence on a fixed basis is unacceptable. In Section III, we introduce five possible axioms for hidden-variable theories. These are ...
Document
Document

... Errors must arise in ways allowed by the laws of quantum mechanics. In the simplest description, two kinds of errors seem of natural concern: unitary errors (the Hamiltonian is not exactly what we thought it was), and decoherence (the system has an uncontrolled interaction with an external environme ...
Introduction - the Max Planck Institute for the Physics of Complex
Introduction - the Max Planck Institute for the Physics of Complex

... Entanglement in CM systems The description of condensed matter (CM) phases using entanglement measures, borrowed from the field of quantum information (QI) theory, has led to an explosive growth of interdisciplinary work. However, there are only a few cases where entanglement concepts provide physic ...
Long-term Planning by Short-term Prediction
Long-term Planning by Short-term Prediction

... on the action (and also on the previous state), which in turn depends on the policy used to generate the action. This ties the data generation process to the policy learning process. • Because actions do not effect the environment in SL, the contribution of the choice of at to the performance of π ...
Unit 3 Quantum Numbers PPT
Unit 3 Quantum Numbers PPT

Boson sampling for molecular vibronic spectra - CIQM
Boson sampling for molecular vibronic spectra - CIQM

... information in ways that are not possible according to classical physics. At a glance, it appears evident that the set of operations characterizing a quantum computer is strictly larger than the operations possible in a classical hardware. This speculation is at the basis of quantum speedups that ha ...
Fast Equivalence-checking for Quantum Circuits
Fast Equivalence-checking for Quantum Circuits

... Quantum circuits often operate on quantum states that contain exponentially large superpositions, making quantum simulation, as well as circuit design and analysis on conventional computers very challenging. To this end, a layered software architecture for quantum computing design tools was outlined ...
Quantum Seeing in the Dark
Quantum Seeing in the Dark

... Simply put, without two indistinguishable paths, interference cannot occur. As the initial setup for their hypothetical measuring system, Elitzur and Vaidman start with an interferometer—a device consisting of two mirrors and two beam splitters. Light entering the interferometer hits a beam splitter ...
Lecture 20 Reinforcement Learning I
Lecture 20 Reinforcement Learning I

Quantum Thermodynamics: A Dynamical Viewpoint
Quantum Thermodynamics: A Dynamical Viewpoint

... single open quantum system [8,35,62,82]. The common assumption that thermodynamics applies solely to macroscopic systems is only true in classical mechanics. There are alternative approaches to the emergence of thermodynamic phenomena, for example, based on the complexity of the spectrum of large qu ...
A short description how to calculate absorption and energy transfer
A short description how to calculate absorption and energy transfer

Slides - IICQI
Slides - IICQI

Non-equilibrium steady state of sparse systems OFFPRINT and D. Cohen D. Hurowitz
Non-equilibrium steady state of sparse systems OFFPRINT and D. Cohen D. Hurowitz

... eq. (3) through an EAR measurement. Then it is possible to explore the LRT to SLRT crossover of this absorption coefficient eqs. (11), (12). This crossover is reflected in having a wide range (many decades) over which the EAR varies as in fig. 3. It is important to realize that the unlimited increase o ...
detail links - Shanghai Institute of Technical Physics
detail links - Shanghai Institute of Technical Physics

SECOND DRAFT FOR
SECOND DRAFT FOR

... The energy quantization in the optical absorption of a QW was first reported by Dingle et al. in 1974 [6]. The photon absorption spectrum exhibits a staircase of discrete exciton resonances, whereas in the photon absorption of a bulk semiconductor only one exciton peak and the associated continuum i ...
Level Repulsion of Localized Excitons in Disordered Quantum Wells
Level Repulsion of Localized Excitons in Disordered Quantum Wells

Full-text PDF - American Mathematical Society
Full-text PDF - American Mathematical Society

... There are many questions that are asked about such high frequency eigenmodes; we focus on the most basic one concerning their distribution. The density νφ := |φ(x, y)|2 dxdy is a probability measure on Ω which quantum mechanically is interpreted as the probability distribution associated with being ...
Braunstein
Braunstein

... to infinite-dimensional Hilbert space†). Simulation is not everything ... *Braunstein et al, J.Mod.Opt. 47, 267 (2000) ...
On the Theory of Intramolecular Energy Transfer
On the Theory of Intramolecular Energy Transfer

Measurement-based and Universal Blind Quantum Computation
Measurement-based and Universal Blind Quantum Computation

... The consequences of the existence of such a procedure are far-reaching. Since entangling comes first, one can prepare the entire entangled state needed during the computation right at the start: one never has to do “on the fly” entanglements. Furthermore, the rewriting of a pattern to standard form ...
Machine Learning: An Overview - SRI Artificial Intelligence Center
Machine Learning: An Overview - SRI Artificial Intelligence Center

Narrowband biphotons with polarization-frequency
Narrowband biphotons with polarization-frequency

Quine`s Holism and Quantum Holism
Quine`s Holism and Quantum Holism

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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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