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... ferromagnetic ground state below 6.8 K with [110] easy axis • Landau theory predicts [100] or [111] as the easy axis • Quadrupolar ordering mechanism can account for it; associates with a structural change; not observed so far ...
Chemistry response 3 investigating orbitals
Chemistry response 3 investigating orbitals

Master Thesis
Master Thesis

... quantum simulator [19]. Universal, in the sense that the same machine, by the use of different algorithms, could be used to simulate very different problems. Analog quantum simulations, however, can be performed using devices substantially more simple than a quantum computer, which are designed to t ...
Quantum computing with photons: introduction to the circuit model
Quantum computing with photons: introduction to the circuit model

11 Selection Postulates and Probability Rules in the Problem of
11 Selection Postulates and Probability Rules in the Problem of

On the quantum no-signalling assisted zero-error
On the quantum no-signalling assisted zero-error

Template
Template

dagrep_v005_i004_p123_s15181. - DROPS
dagrep_v005_i004_p123_s15181. - DROPS

... and Trends in Probabilistic Programming”. Probabilistic programming is at the heart of machine learning for describing distribution functions; Bayesian inference is pivotal in their analysis. Probabilistic programs are used in security for describing both cryptographic constructions (such as randomi ...
density matrices
density matrices

manuscript - University of Hertfordshire
manuscript - University of Hertfordshire

... To conclude, Wigner flow reveals nonclassical features and added complexity of quantum phase space dynamics. At the same time it provides, through the conservation of the flow winding number !, the basis for an analysis of its topological invariants, ordering this complexity. Systems that have been ...
and quantum properties - Hal-SHS
and quantum properties - Hal-SHS

Iterative quantum-state transfer along a chain of nuclear spin qubits
Iterative quantum-state transfer along a chain of nuclear spin qubits

Quantum error-correction in black holes
Quantum error-correction in black holes

Paper
Paper

Partially Nondestructive Continuous Detection of Individual Traveling Optical Photons
Partially Nondestructive Continuous Detection of Individual Traveling Optical Photons

... generation and processing [1–9]. Quantum state detection, a particular type of processing, is at the heart of quantum mechanics and has profound implications for quantum information technologies. Photons are standardly detected by converting a photon’s energy into a measurable signal, thereby destro ...
Silicon-based Quantum Computation
Silicon-based Quantum Computation

Gravitation and quantum interference experiments with neutrons
Gravitation and quantum interference experiments with neutrons

Unconditionally Secure Quantum Signatures
Unconditionally Secure Quantum Signatures

Fermion Doubling in Loop Quantum Gravity - UWSpace
Fermion Doubling in Loop Quantum Gravity - UWSpace

... I would like to express my sincerest gratitude towards Dr. Lee Smolin, for collaborating with me on this project, providing me with the motivation for this work, and for his patience in working with me. This project would’ve been impossible without his superior insight and guidance. In addition, I w ...
Coherent States
Coherent States

... Here I digress from work in progress—namely, a review of a paper by C. Y. She & H. Heffner1 , which was the first of several papers inspired by E. Arthurs & J. L. Kelly’s “On the simultaneous measurement of a pair of conjugate observables” (BSTJ 44, 725 (1965)); it is my intention to incorporate tha ...
A new look at the Milne Universe\\ and its ground state wave functions
A new look at the Milne Universe\\ and its ground state wave functions

... propagators. AQM takes into account ordinary as well as p-adic quantum effects and may be regarded as a starting point for construction of a more complete M-theory. In the low-energy limit adelic quantum mechanics becomes the ordinary one [21]. 5.2.1. Mini Super-Space Models in p-Adic and Adelic Qua ...
The Copenhagen Interpretation
The Copenhagen Interpretation

... multiplied by its complex conjugate to give the predicted transition probability. In a more sophisticated calculation one might use density matrices pA(x';x") and PB(y'',y") instead of *A(J;) and ¥s(y) to represent the prepared system and the possible result. This would allow for preparations and me ...
Topological order at finite temperature?
Topological order at finite temperature?

... Finite T behaviour of the topological entropy (I) ρ(0) = |Ψ0 ihΨ0 | −→ ρ(T ) = e −βH /Z , yet one can obtain an exact expression for both SA and Stopo ...
Quantum Computing - Department of Computing
Quantum Computing - Department of Computing

... Furthermore, as we have seen, it does matter to the result of the experiment whether we observe the electrons in the process of experiment or not. Nobody knows why electrons, or for that matter any quantum phenomenon, behaves like that. Quantum mechanics is a very accurate description of nature as ...
Realism and Antirealism in Informational Foundations of
Realism and Antirealism in Informational Foundations of

... foundations of quantum theory Zeilinger-Brukner’s theoretical framework is based on the concept of information. However, information is not understood in a technical sense as in classical information theory. Zeilinger and Brukner describe information as the result of the observation, as the answer a ...
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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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