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Ion Trap Quantum Technology for Quantum Computing
Ion Trap Quantum Technology for Quantum Computing

... Background: Laser-cooled trapped ions are one of the most promising technologies for building a quantum simulator or quantum computer, which could be one of the most dramatic technological developments of the 21st century. Such devices will only be realized if the qubits can be manipulated sufficien ...
Quantum Numbers (and their meaning)
Quantum Numbers (and their meaning)

... m states is always odd (2 + 1) and should produce odd number of ...
Lecture 3
Lecture 3

... Observables: for measuring the computation‘s output The probability distribution on results: output of the computation Projected and normalized vector: the remaining quantum state Measurement is the only way to extract information from a quantum state ...
What is the quantum state?
What is the quantum state?

Part IV
Part IV

... We wish to know if the function is constant or balanced. We can do this by performing two computations To give f (0) and f (1) . Can we do it in one step? ...
Arrangement of Electrons In Atoms
Arrangement of Electrons In Atoms

Quantum Mechanics
Quantum Mechanics

... The question of the distances between the planets used to be the biggest open problem in science. But we now know that it’s a complicated question that isn’t answered by the fundamental theory. ...
The angular momentum quantum number
The angular momentum quantum number

Algorithms, Complexity and Quantum Fourier Transform
Algorithms, Complexity and Quantum Fourier Transform

... Classical deterministic networks are based on logical connectives such as and, or, and not and are required to always deliver correct answers. If a problem admits a deterministic uniform network family of polynomial size, we say that the problem is in the class P . Probabilistic networks have additi ...
ppt1 - Zettaflops
ppt1 - Zettaflops

... • A Quantum computer can probably be built eventually, but not right away. Maybe in 20 years. We don’t know yet what it will look like. • It would exponentially speed up a few computations like factoring, thereby breaking currently used digital signatures and public key cryptograp (Shor algorithm) • ...
Winter 2006 Colloquium Series Physics Department University of Oregon 4:00 Thursdays, 100 Willamette
Winter 2006 Colloquium Series Physics Department University of Oregon 4:00 Thursdays, 100 Willamette

... group that are initial steps towards building a quantum simulator. The first experiment uses an NMR quantum simulator to examine the low-lying energy spectra of superconductors. The second experiment is the development of a planar ion trap that allows one to store and move ions in arbitrary geometri ...
super.bu.edu
super.bu.edu

quantum paradox - Brian Whitworth
quantum paradox - Brian Whitworth

... ways that should cancel, like opposite spin. In sum, the quantum world described by quantum theory cannot possibly be physical. For example, an electron’s quantum wave can spread across a galaxy, then instantly collapse to any point when observed, but: “How can something real disappear instantaneous ...
Ian Walmsley
Ian Walmsley

... • H is a Hadamard transformation and X a bit-flip operation • ga is a controlled-NOT transformation acting on all bits simultaneously. • The top n qubits are measured at the end of the circuit. Since nowhere are the qubits entangled, they can be replaced by the modes of an optical field. ...
Presentation - Oxford Physics
Presentation - Oxford Physics

The Future of Computer Science
The Future of Computer Science

... Linear transformations that conserve 1-norm of probability vectors: Stochastic matrices ...
PX408: Relativistic Quantum Mechanics Tim Gershon ()
PX408: Relativistic Quantum Mechanics Tim Gershon ()

" Quantum gravity": an oxymoron
" Quantum gravity": an oxymoron

Q 19: Quantum Optics III - DPG
Q 19: Quantum Optics III - DPG

Quantum Computation
Quantum Computation

... Classical computer (FFT) ~ n2n op. for N=2n numbers. Quantum Computer ~ n2 op. But the result of QFT is stored as amplitudes, it can not be read. But QC can find periodicity. 1994-Peter Shor – can be used to factorize large numbers. Is RSA encryption in danger? ...
What Could You Do With A Quantum Computer?
What Could You Do With A Quantum Computer?

How Much Information Is In A Quantum State?
How Much Information Is In A Quantum State?

... Remark 1: To do this “pretty good tomography,” you don’t need any prior assumptions about ! (No Bayesian nuthin’...) Removes a lot of conceptual problems... Instead, you assume a distribution D over measurements Might be preferable—after all, you can control which measurements to apply, but not wh ...
Quantum information with Rydberg atoms
Quantum information with Rydberg atoms

... C-Phase/C-NOT: same operations, but only carried out of ”control-qubit” is in state |0>. ...
Lecture 1
Lecture 1

... • Mathematical models of the physical world: Quantum Computer (concept) • Let [phi] be selected (caused) to represent the input data to a desired computation. Let the evolution of [phi] according the the Schrodinger equation, represent a computation we wish to perform. Let the outcome of a selected ...
Quantum Computers
Quantum Computers

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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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