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pdf - VUB
pdf - VUB

Carbon nanotube quantum dots on hexagonal boron nitride
Carbon nanotube quantum dots on hexagonal boron nitride

Inductive Logic Programming: Challenges
Inductive Logic Programming: Challenges

... learn from data. The details of robot grasping based on relational kernels (Frasconi et al. 2014) with numerical features was presented by Antanas et al. (2015). By extending the distribution semantics to cope with dynamics and continuous distributions, learning multi-relational object affordances h ...
ABSTRACT RANDOM ROUTING AND CONCENTRATION IN QUANTUM SWITCHING NETWORKS
ABSTRACT RANDOM ROUTING AND CONCENTRATION IN QUANTUM SWITCHING NETWORKS

... and classical switch designs. While on the one hand classical structures can reduce the wire count for quantum systems, on the other hand, quantum properties like superposition or quantum parallelism can be harnessed to address classical problems like blocking when switching is done in the quantum ...
Quantum electrodynamic Aharonov
Quantum electrodynamic Aharonov

Structured machine learning: the next ten years
Structured machine learning: the next ten years

Quantum layers over surfaces ruled outside a compact set
Quantum layers over surfaces ruled outside a compact set

... extra global condition imposed on the map p兲 due to topological reasons necessary for our arguments 共see Secs. III and IV兲. The terminology of “quantum” simply eludes to the fact that when suitable geometric conditions are imposed on ⍀,2 ground state exists. On the physics side, the problem above ha ...
Entanglement and Tensor Network States - cond
Entanglement and Tensor Network States - cond

... topological order and non-conventional phase transitions. Quantum systems well modelled by lattice models in this sense also show a wealth of phenomenology in out-of-equilibrium situations, to mention only a few reasons why this kind of physical system is interesting. In this chapter, we will provid ...
Commun. Math. Phys. 110, 33-49
Commun. Math. Phys. 110, 33-49

... quantum flux, which is 2π in our units. The analysis of charge transport requires control of the dynamics for finite times, and so is amenable to rigorous analysis. The analysis of the conductance is harder because it involves long times: The conductance is defined as the asymptotic (in time) ratio ...
Jagiellonian University M. Smoluchowski Institute of Physics Entropy
Jagiellonian University M. Smoluchowski Institute of Physics Entropy

... the set of onequbit channels is satisfactory explored [37, 38]. in this simplest case some interesting problems are open. ...
Regular/irregular phase space structure of HCN/HNC
Regular/irregular phase space structure of HCN/HNC

Superconducting Qubit Storage and Entanglement with Nanomechanical Resonators A. N. Cleland
Superconducting Qubit Storage and Entanglement with Nanomechanical Resonators A. N. Cleland

... a sufficiently long quantum-coherence lifetime and a controllable entanglement scheme, is the principal roadblock to building a large-scale quantum computer. Superconducting devices are natural qubit candidates because they exhibit robust, macroscopic quantum behavior [1]. Recently, there have been ...
entanglement properties of quantum many
entanglement properties of quantum many

... interactions. Any subset of the particles in a system of interacting particles in a pure state is necessarily in a mixed state. Bipartite (two-party) entanglement of pure and mixed states has received thorough study, especially for the case that the two subsystems are two-level systems or Pauli spin ...
11th International Conference on Squeezed - icssur 2009
11th International Conference on Squeezed - icssur 2009

... Quantum treatment of the time-dependent coupled oscillators under the action of a random force (M. S. Abdalla) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Quantum correlations and device-independent quantum information protocols (A. Acı́n) . . . . . . . . . ...
The Quark model
The Quark model

Matrix Product States and Tensor Network States
Matrix Product States and Tensor Network States

... Behavior insensitive to boundary conditions, topology, ... ...
Emergence of a classical world from within quantum theory
Emergence of a classical world from within quantum theory

... The starting point of this dissertation is that a quantum state represents the observer’s knowledge about the system of interest. As it has been pointed out several times by the opponents of this epistemic interpretation, it is difficult to reconcile this point of view with our common notion of “phy ...
Quantum information processing beyond ten ion
Quantum information processing beyond ten ion

... it and be able to retrieve the information before the information is lost. These criteria have originally been suggested with regards to quantum computation and are, besides their challenging nature, partially fulfilled in several current experiments. However, devices that fulfil these criteria cann ...
Conformal field theory out of equilibrium: a review
Conformal field theory out of equilibrium: a review

Take a Ride on a Time Machine* - Philsci
Take a Ride on a Time Machine* - Philsci

Models of wave-function collapse
Models of wave-function collapse

... the other hand, the Hamilton-Jacobi equation (1) is nonlinear: if S1 is a solution corresponding to one space-time trajectory, and S2 is a solution corresponding to another space-time trajectory, then clearly a1 S1 + a2 S2 is not a solution of this equation. In particular, if ψ1 is a wave packet whi ...
Towards ~ Lorentz Invariant Quantum Theory of Measurement
Towards ~ Lorentz Invariant Quantum Theory of Measurement

... apparatus ensemble, initially all lying in the same ergodic manifold, over the various ergodic manifolds correlated with the distinct system eigenstates is the macroscopic amplification of irreversible entropy production inflicted upon the system. ...
Quantum Probability - Institut Camille Jordan
Quantum Probability - Institut Camille Jordan

... represented as multiplication operators on some different probability spaces (otherwise they would commute!). Furthermore, their associated probability spaces have nothing to do together. They cannot be put together, as one usually does in the case of independent random variables, by taking the tens ...
Marblestone, Devoret..
Marblestone, Devoret..

An Efficient Learning Procedure for Deep Boltzmann Machines
An Efficient Learning Procedure for Deep Boltzmann Machines

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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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