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Honors Directed Study Abstract - PS 303
Honors Directed Study Abstract - PS 303

A “Garden of Forking Paths” – the Quantum
A “Garden of Forking Paths” – the Quantum

Entropy and temperature of a quantum Carnot engine
Entropy and temperature of a quantum Carnot engine

There can be only one
There can be only one

... the frequency of the oscillation between ground and excited state — from the single-atom Rabi frequency. The collective Rabi frequency is given by √ N times the single-atom Rabi frequency, where N indicates the number of entangled atoms. It has been theoretically predicted for some years that the de ...
Miguel Lorente - International Society for the Advanced Study of
Miguel Lorente - International Society for the Advanced Study of

Quantum Computing With Closed Timelike Curves
Quantum Computing With Closed Timelike Curves

Quantum correlations
Quantum correlations

Quantum-information transport to multiple receivers
Quantum-information transport to multiple receivers

PHYSICS III: Modern Essentials
PHYSICS III: Modern Essentials

... There will be weekly homework assignments, consisting of assigned readings and written problems. Doing the assignments, i.e. problem solving, is the single most important tool for learning the course material. However, you should feel free to discuss the assigned problems with your associates; in fa ...


Quantum computing and mathematical research
Quantum computing and mathematical research

Experimental test of quantum nonlocality in three
Experimental test of quantum nonlocality in three

Population Inversion in a Single InGaAs Quantum Dot Using
Population Inversion in a Single InGaAs Quantum Dot Using

... @ dt is defined as the pulse area in a Rabi rotation where  is the dipole moment describing the two-level system and EðtÞ is the envelope of the optical field. Coherent resonant interaction has been shown to be capable of generating several such Rabi cycles, and permits readout of the state of the ...
Measurement-based quantum computation with mechanical oscillators
Measurement-based quantum computation with mechanical oscillators

Kondo effect of an antidot in the integer quantum Hall regime: a
Kondo effect of an antidot in the integer quantum Hall regime: a

... measurements and the theoretical capacitive interaction model, our results indicate that the Kondo eect may exist in an antidot system with two localized edge states. 2. Particle–hole transformation Although there are many microscopic calculations of quantum dots, to our knowledge, no microscopic s ...
Link to PDF - D
Link to PDF - D

... of numbers to cells satisfying all the constraints. Intuitively, answering this yes/no question is no easier than solving the Sudoku in the sense that a yes answer likely requires exhibiting a solution to the puzzle. Many constraint satisfaction problems like Sudoku share the feature that a candida ...
Slayt Başlığı Yok
Slayt Başlığı Yok

... A mapping is obtained relating radial screened Coulomb systems with low screening parameters to radial anharmonic oscillators in N-dimensional space. Using the formalism of supersymmetric quantum mechanics, it is shown that exact solutions of these potentials exist when the parameters satisfy certai ...
On the minimum quantum dimension for a given quantum correlation
On the minimum quantum dimension for a given quantum correlation

... ◦ The setting is changed a little bit ◦ The standard convex analysis method applies ...
Course outline
Course outline

... To provide a comprehensive introduction to machine learning methods To build mathematical foundations of machine learning and provide an appreciation for its applications To provide experience in the implementation and evaluation of machine learning methods To develop research interest in the theory ...
Quantum Factorization of 143 on a Dipolar
Quantum Factorization of 143 on a Dipolar

Quantum Phase Transitions - Subir Sachdev
Quantum Phase Transitions - Subir Sachdev

... by the well-developed theory of classical phase transitions. This shall not be our interest here. Rather, we are interested in moving from magnetic system obeying (1), to a quantum paramagnet obeying (2), by varying a system parameter at T = 0. There are many experimental and theoretical examples of ...
Lecture 6
Lecture 6

... unterminated quantum wires (qubits which are not yet measured) at the end of the quantum circuit may be assumed to be measured. In order for a measurement to be reversible, it must reveal no information about the quantum system being measured! Summary of the quantum circuit model of computation • Cl ...


Fault-Tolerant Quantum Computation and the Threshold Theorem
Fault-Tolerant Quantum Computation and the Threshold Theorem

... probably in many solid state implementations, where a lot less is known about the decoherence mechanism at work in these systems. On the other hand, for atomic systems like ions and neutral atoms, we have a pretty good idea that the main methods of decoherence at this point are well described by the ...
Machine Learning - School of Electrical Engineering and Computer
Machine Learning - School of Electrical Engineering and Computer

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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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