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The Role of Indistinguishability of Identical Particles in
The Role of Indistinguishability of Identical Particles in

... information processing. The first four chapters provide an overview of the thesis as well as an introduction to the basic principles of quantum mechanics, with special emphasis on systems of identical particles and quantum entanglement. In the next three chapters, we present the use of particle stat ...
DEMONSTRATION OF RYDBERG BLOCKADE AND A NEUTRAL
DEMONSTRATION OF RYDBERG BLOCKADE AND A NEUTRAL

Applied Bohmian mechanics
Applied Bohmian mechanics

Discrete Approaches to Quantum Gravity in Four Dimensions
Discrete Approaches to Quantum Gravity in Four Dimensions

... phase structure, and the inclusion of matter, to name just a few. So far, they have not been successful in providing convincing evidence for the existence of a non-trivial four-dimensional quantum theory of gravity (neither, of course, have other methods). There are considerable technical difficulti ...
Observation of topological links associated with Hopf
Observation of topological links associated with Hopf

Destructive quantum interference in spin tunneling problems
Destructive quantum interference in spin tunneling problems

M12/16
M12/16

Transport study on two-dimensional electrons with controlled short-range alloy disorder
Transport study on two-dimensional electrons with controlled short-range alloy disorder

Ph410 Physics of Quantum Computation1
Ph410 Physics of Quantum Computation1

For screen - Mathematical Sciences Publishers
For screen - Mathematical Sciences Publishers

Quantum and Classical Magnetoresistance in Ambipolar Topological Insulator Transistors with
Quantum and Classical Magnetoresistance in Ambipolar Topological Insulator Transistors with

Quantum quenches to the attractive one
Quantum quenches to the attractive one

PHOTONIC ENTANGLEMENT: NEW SOURCES AND NEW APPLICATIONS JI ˇ R´
PHOTONIC ENTANGLEMENT: NEW SOURCES AND NEW APPLICATIONS JI ˇ R´

... the last few decades. In order to be used in many different applications, sources of entanglement should satisfy several requirements as a high efficiency, broad tunability and compactness, and the possibility of integration with other optical components. The most common sources of entangled fields ...
2-dimensional “particle-in-a-box” problems
2-dimensional “particle-in-a-box” problems

... are displayed as straight paths from the source point (y, 0) to various “images” of the target point (x, t). Note how paths that involve an even number of bounces are distinguished from those that involve an odd number. ...
Characterizing and witnessing multipartite correlations: from nonlocality to contextuality PhD thesis
Characterizing and witnessing multipartite correlations: from nonlocality to contextuality PhD thesis

... Bell’s theorem relies on natural assumptions on the causal structure of experiments. These assumptions are that: far-apart observers cannot influence each other instantaneously (locality, also known as no-signaling), they can choose their respective measurements independently (free-will), and physic ...
Why Physicists are still Important.
Why Physicists are still Important.

... with the bath, for some initial state of the bath, usually thermal state, or for low temperatures, the ground state. ...
Quantum Hall effect in graphene: Status and prospects
Quantum Hall effect in graphene: Status and prospects

... non-relativistic two-dimensional electron systems (2DES) or standard 2DES, the Hall conductivity, σxy=±4ne2/h]. That is why; it is characterized as halfinteger quantum Hall effect or anomalous quantum Hall effect. The additional ½ is the hallmark of the chiral nature of the Dirac fermions in graphen ...
Exploring topological phases with quantum walks
Exploring topological phases with quantum walks

The Polarizable Continuum Model Goes Viral! - Munin
The Polarizable Continuum Model Goes Viral! - Munin

Canonical Transformations in Quantum Mechanics
Canonical Transformations in Quantum Mechanics

OPENNESS OF MANY-ELECTRON QUANTUM SYSTEMS FROM
OPENNESS OF MANY-ELECTRON QUANTUM SYSTEMS FROM

... additional 1-RDM constraints are known as pure N at sum to unity, representability conditions or generalized Pauli condictions, and each tions [6–11]. The pure N -representability conditions coordinates of a of the 1-RDM depend only on its natural occupation ensemble density numbers [6], and hence, ...
Twenty years of the Weyl anomaly
Twenty years of the Weyl anomaly

... many a recent convert, he went on to become their most ardent advocatet. This was also the beginning of a very fruitful collaboration between the two of us. The significance of my paper with Deser and Isham was that, with the exception of the OR term in (la), none of the above anomalies could be rem ...
1 Path Integrals and Their Application to Dissipative Quantum Systems
1 Path Integrals and Their Application to Dissipative Quantum Systems

Entanglement Entropy
Entanglement Entropy

... completely and build the function which represents it. However, this is not always feasible. For instance, in an electron-target scattering experiment we use the electron wave function to compute the cross section of the process; while if we want to estimate it experimentally, an electron beam –made ...
Causality Is Logically Definable-Toward an Equilibrium
Causality Is Logically Definable-Toward an Equilibrium

... how large the largest agent—the universe is, and how small the smallest agent—the most fundamental subatomic (quantum) particle—is. Without logically definable causality, we still haven’t found a unifying mathematical definition for the word “agent” that is fundamental for all beings and their inter ...
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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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