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Spin-orbit coupling effects in two
Spin-orbit coupling effects in two

... [13],[14]. In coupled dots, the two-qubit quantum gates are realized by manipulating the exchange coupling between the electrons, which originates in the Coulomb interaction and the Pauli principle [8],[15]. How is the exchange coupling modified by the presence of the spin-orbit coupling? In general, ...
Is spacetime a quantum error-correcting code?
Is spacetime a quantum error-correcting code?

The Integer Quantum Hall Effect
The Integer Quantum Hall Effect

Quantum correlations and measurements
Quantum correlations and measurements

... One aim of theoretical physics is the description of nature in terms of mathematical relations. An interplay between experimental and theoretical physics, mathematics, and philosophy helps us to construct models as a way towards understanding the principles of nature. At the beginning of the last ce ...
A WYSIWYG Simulation Tool for Investigating the Circuit Model of
A WYSIWYG Simulation Tool for Investigating the Circuit Model of

Transport Properties of Interacting Edge Modes in 2D Topological
Transport Properties of Interacting Edge Modes in 2D Topological

... Recently, there has been a lot of interest in the phyics of systems called topological insulators, which includes the so called quantum spin Hall insulators. These are materials, which are insulating in the bulk, but support gapless modes on the boundary. The presence of time-reversal symmetry in th ...
Universal edge information from wavefunction deformation
Universal edge information from wavefunction deformation

Charged domain-wall dynamics in doped antiferromagnets and spin
Charged domain-wall dynamics in doped antiferromagnets and spin

... momentum-space structure of spin fluctuations and its doping dependence as probed by neutron scattering.17 The Néel state at half-filling gives rise to magnetic Bragg peaks centered at ( p , p ) in the Brillioun zone. In an ordered charge domain-wall array as shown in Fig. 1, the staggered order pa ...
Quantum Bianchi I model: an attempt to understand very early
Quantum Bianchi I model: an attempt to understand very early

Nonequilibrium Dynamical Mean-Field Theory: An
Nonequilibrium Dynamical Mean-Field Theory: An

... extended quantum systems out of equilibrium. The approach is based on dynamical mean-field theory (DMFT), in which the original system is mapped onto an auxiliary nonequilibrium impurity problem imbedded in a Markovian environment. The steady-state Green’s function of the auxiliary system is solved ...
Continuous Variable Quantum Information: Gaussian States and
Continuous Variable Quantum Information: Gaussian States and

... with a variety of quantum hardware, and entered a stage of commercial exploitation [6]. The time seems ripe for selected quantum computing devices to live up to their high expectations [7]. Traditionally, two main approaches to quantum information processing have been pursued. On one hand, a “digita ...
Between classical and quantum
Between classical and quantum

Spooky Action at Spacy Distances
Spooky Action at Spacy Distances

... maximally entangled pair of particles and then teleports one of the particles pair using the quantum channel. With probability p Alice and Bob end up sharing a maximally entangled pair, while with probability 1 − p they loose the channel. Single particle distillation : procedures which ‘distill’ max ...
Creating fractional quantum Hall states with atomic clusters
Creating fractional quantum Hall states with atomic clusters

... heating processes could prevent reaching the ground state for long ramps. The issue of driving as fast as possible a quantum system into a given state received a lot of attention in recent years [41], in particular in the context of quantum gate engineering. While the notion of quantum speed limit i ...
Transformations of Entangled Mixed States of Two Qubits
Transformations of Entangled Mixed States of Two Qubits

... Consider the superposition postulate of Quantum Mechanics. It leads to the fact that composite quantum systems can be in entangled states, i.e., states that are unfactorizable. In the history of quantum physics, the entanglement is considered and discussed in depth as the main reason of non-locality ...
Between classical and quantum
Between classical and quantum

Applying elementary principles from quantum physics
Applying elementary principles from quantum physics

Distances in Probability Space and the Statistical Complexity
Distances in Probability Space and the Statistical Complexity

Solid Helium-4: A Supersolid?
Solid Helium-4: A Supersolid?

How do you divide your (two dimensional) time? .1in SLE, CLE, the
How do you divide your (two dimensional) time? .1in SLE, CLE, the

Spin-entangled electrons - Theoretical Physics at University of
Spin-entangled electrons - Theoretical Physics at University of

... The definition of mixed state entanglement is somewhat more general and will be discussed further below. ...
Nitrate and Nitrite Ultraviolet Actinometers - SUNY-ESF
Nitrate and Nitrite Ultraviolet Actinometers - SUNY-ESF

Reading out a quantum bit
Reading out a quantum bit

... In order to get the result of a quantum algorithm we need to read out the state of the qubits in the out register when the algorithm is done. As we will see later one also needs to read out certain qubits during the computation if we want to perform error correction. On the algorithm level a read-ou ...
Compatibility of Quark and Resonant Picture Excited Baryon
Compatibility of Quark and Resonant Picture Excited Baryon

COMPUTER-AIDED-DESIGN METHODS FOR EMERGING
COMPUTER-AIDED-DESIGN METHODS FOR EMERGING

... circuits are reversible and therefore promise the potential of computation without energy loss. This research considers computer aided design (CAD) methods for all major aspects of quantum computing circuit design including logic synthesis, simulation, verification, and testing. The technologies we ...
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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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