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Quantum Physics Physics
Quantum Physics Physics

... Cryptography is the practice and study of hiding information. Modern crypthography intersects the disciplines of mathematics, computer science and electrical engineering. Quantum cryptography describes the use of quantum physics effects. Well-known examples of quantum cryptography are the use of qua ...
the origins of the quantum theory
the origins of the quantum theory

chapter 7 part 2
chapter 7 part 2

Introduction to Quantum Information - cond
Introduction to Quantum Information - cond

... have to come from somewhere, and since Alice is in possession of just one particle, the only thing she can do to make meaningful classical information is to measure this particle. But it was known since 1973 (it is called Holevo’s theorem [8]) that Alice can get at most one bit of information from a ...
a simple explanation of search technique in quantum framework
a simple explanation of search technique in quantum framework

... Abstract: The quantum search takes advantage of quantum parallelism to construct superposition of all possible states and then increase the probability amplitude of the solution state. This is the distinguishing characteristics of quantum search strategy. The objective of a classical search algorith ...
Local Quantum Measurement and No
Local Quantum Measurement and No

Chirped-frequency excitation of gravitationally bound ultracold
Chirped-frequency excitation of gravitationally bound ultracold

Electrical control of a long-lived spin qubit in a
Electrical control of a long-lived spin qubit in a

... ground state, introduces a substantial non-linearity in our system [2]. This non-linearity allows us to also achieve coherent single-spin control by second harmonic generation, which means we can drive an electron spin at half its Larmor frequency. As expected, the Rabi frequency depends quadratical ...
KDS Quantum Option Model
KDS Quantum Option Model

Molecular Electronic Devices
Molecular Electronic Devices

Colloquium on "Many Worlds Interpretation"
Colloquium on "Many Worlds Interpretation"

Collaborative learning of quantum measurement with on
Collaborative learning of quantum measurement with on

... physics. The course is open to all undergraduate students except physics students. The students must have completed at least one previous course in physics, but we have no other requirements on their background. In a typical offering of Contemporary Physics the students will be studying a wide varie ...
Document
Document

... • Can only explain the line spectrum of hydrogen adequately. • Can only work for (at least) one electron atoms. • Cannot explain multi-lines with each color. • Electrons are not completely described as small particles. • Electrons can have both wave and particle properties. ...
What is the computational cost of automating brilliance or serendipity? COS 116: 4/12/2006
What is the computational cost of automating brilliance or serendipity? COS 116: 4/12/2006

Quantum Physics Part II Quantum Physics in three units Bright Line
Quantum Physics Part II Quantum Physics in three units Bright Line

Quantum-assisted biomolecular modelling
Quantum-assisted biomolecular modelling

... level for biomolecules is molecular dynamics (MD) simulation. MD provides the positions and velocities of all of the atoms in the system as a function of time through a numerical integration of Newton’s equations using a very short time step dt (generally 2f s). This is necessary to ensure stability ...
Staging quantum cryptography with chocolate balls
Staging quantum cryptography with chocolate balls

7. Some Modern Applications of Quantum Mechanics
7. Some Modern Applications of Quantum Mechanics

Good and Evil at the Planck Scale
Good and Evil at the Planck Scale

... has a dynamic evolution. So, for instance, though aesthetic values a thousand years ago are different than today, there is still something called mathematical truth. ...
SIGNIFICANCE OF CLASSICAL RULES IN PENNY FLIP GAME
SIGNIFICANCE OF CLASSICAL RULES IN PENNY FLIP GAME

...  General unitary operations, for the given classical rule, are derived and employing which quantum player can always win the single penny game. Thus we have shown the winning strategies for quantum player irrespective of the classical rule of the game.  With the aim to understand the role of entan ...
The Application of Quantum Energy Saver on Engine
The Application of Quantum Energy Saver on Engine

down
down

... 2.7 Eigenfunctions of Q.M. operator form a complete set completeness in 3-dimensional vector space : Any vector in 3-dimensional can be represented by linear combination of vector x, y, and z Similar, completeness in functional space : Wave function can be expanded in the eigenfunctions of any Q.M. ...
Deutsch`s Algorithm
Deutsch`s Algorithm

... Example: Factoring • Factoring: given a number, what are its prime factors? • Considered a “hard” problem in general, especially for numbers that are products of 2 large primes ...
Quantum computation and quantum information
Quantum computation and quantum information

... • Factoring is not known to be NP-complete • Quantum computers are known to solve all problems in P efficiently but cannot solve problems outside PSPACE efficiently • If quantum computers are proved to be more efficient than classical computers P=/=PSPACE • Quantum computers are (supposedly) experim ...
slides  - Frontiers of Fundamental Physics (FFP14)
slides - Frontiers of Fundamental Physics (FFP14)

... The Dogma of Closure When classical physics treated open systems, it was tacitly assumed (as an article of faith) that, by suitable enlargement of the system, it could always be included in closed system of a deterministic type. … The contrast between open and closed should not be taken as identica ...
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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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