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Course Topics for EEE 631
Course Topics for EEE 631

1.1 What has to be explained by Quantum mechanics?
1.1 What has to be explained by Quantum mechanics?

... Only reasonable for Fermions following the Pauli principle! But ”free” and ”occupied” states within a band, sizes of band gaps, etc. classify metals, semiconductors, and insulators. • Why, in contrast, must photons be Bosons?!? (One single QM state macroscopically measurable) • What is: Schrödinger ...
北海道大学シラバス - 北海道大学工学部
北海道大学シラバス - 北海道大学工学部

... 授業の目標 Objectives: The aim of this course is to provide some fundamental knowledge and practical tools in quantum theory in order to explain various interesting phenomena reflecting the nature of the electron as a wave, or not as a particle. Only a few assumptions on each problem setup lead to a vari ...
CHEMISTRY CHAPTER 4 – QUANTUM MECHANICS
CHEMISTRY CHAPTER 4 – QUANTUM MECHANICS

Periodic boundary physics etc
Periodic boundary physics etc

The Future of Computer Science
The Future of Computer Science

How does a Bohm particle localize?
How does a Bohm particle localize?

Abstracts
Abstracts

Nanodevices and nanostructures: quantum wires and quantum …
Nanodevices and nanostructures: quantum wires and quantum …

Adiabatic quantum computation and Boltzmann sampling with a
Adiabatic quantum computation and Boltzmann sampling with a

Coherent control of quantum dynamics and the associated applications in quantum information science as well as atomic and molecular physics.
Coherent control of quantum dynamics and the associated applications in quantum information science as well as atomic and molecular physics.

... On the most fundamental level quantum mechanics is still not well understood. Yet quantum mechanics has already played a vital role in our daily life and will be even more useful if we continue to explore how we can actively control the dynamics of quantum systems. The direction of “coherent control ...
High Efficiency Quantum- well Quantum-dot Solar Cells
High Efficiency Quantum- well Quantum-dot Solar Cells

Winterschool Obergurgl 2017
Winterschool Obergurgl 2017

... Objectives: We intend to bring together Quantum Physics and Classical Networks both in theoretical models and in emerging experimental settings. The goal of this interdisciplinary school is to foster interaction between these communities. The school is aimed at PhD students and Postdocs who work ...
Many problems that take long time to solve on a deterministic Turing
Many problems that take long time to solve on a deterministic Turing

... can be often be solved very quickly on a probabilistic Turing machine  However there is a tradeoff between the time it takes to return an answer to a computation and the probability that the returned answer is correct ...
A quantum point contact for ultra cold Fermions
A quantum point contact for ultra cold Fermions

... constrictions are imprinted on a quasi two-dimensional ballistic channel connecting two adjustable reservoirs of quantum degenerate fermionic lithium atoms. By tuning either a gate potential or the transverse confinements of the constrictions, we observe distinct plateaus in the conductance for matt ...
报告海报 - 中国科学院武汉物理与数学研究所
报告海报 - 中国科学院武汉物理与数学研究所

... Quantum coherence is one of the keys to quantum computing, but it is fundamentally limited by interactions with the environment. New device designs and better materials have significantly reduced the level of intrinsic decoherence in e.g. superconducting qubits, and in addition quantum error correct ...
Some Families of Probability Distributions Within Quantum Theory
Some Families of Probability Distributions Within Quantum Theory

... “Some Families of Probability Distributions Within Quantum Theory” ...
Pauli Exclusion Principle Quiz
Pauli Exclusion Principle Quiz

... Pauli Exclusion Principle Quiz 1. The location of any electron in an atom can be described by ____ unique quantum numbers. ...
Slide 1 - s3.amazonaws.com
Slide 1 - s3.amazonaws.com

... theory. They questioned why the energies of hydrogen electron are quantized, or, why is the electron in a Bohr atom restricted or orbiting the nucleus at certain fixed distance? For a decade there is no logical explanation. In 1924, Louis de Broglie provided the solution for this puzzle. If light wa ...
There are 4 quantum numbers. - 12S7F-note
There are 4 quantum numbers. - 12S7F-note

... These 4 quantum numbers are used to describe the electrons of an atom. ...
Quantum Mechanical Scattering using Path Integrals
Quantum Mechanical Scattering using Path Integrals

Quantum Computing And the Future of Copyright
Quantum Computing And the Future of Copyright

... • Then what’s next? ...
SCHRÖDINGER EQUATION FOR A PARTICLE ON A CURVED SPACE AND SUPERINTEGRABILITY
SCHRÖDINGER EQUATION FOR A PARTICLE ON A CURVED SPACE AND SUPERINTEGRABILITY

... Communicated by Vasil V. Tsanov Abstract. A formulation of quantum mechanics on spaces of constant curvature is studied by quantizing the Noether momenta and using these to form the quantum Hamiltonian. This approach gives the opportunity of studying a superintegrable quantum system. It is shown the ...
Jort Bergfeld : Completeness for a quantum hybrid logic.
Jort Bergfeld : Completeness for a quantum hybrid logic.

... operator expressing non-orthogonality, @_i operators to express truth at a fixed state i and a "down arrow" to name the current state. QHL is an extension of the logic for quantum actions (LQA) introduced by Baltag and Smets and we will show all logical operators of LQA can be expressed in QHL. Quan ...
Quantum Computing
Quantum Computing

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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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