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More period finding with adiabatic quantum computation
More period finding with adiabatic quantum computation

Deep-sea clams feel the heat
Deep-sea clams feel the heat

... squared of the wavefunction is directly experimentally accessible and corresponds to the probability of finding the position or momentum of a particle. (These historical discussions are summarized in ref. 2.) Since we can always represent a complex number by its amplitude and phase, this implies tha ...
Deutsch-Jozsa Paper
Deutsch-Jozsa Paper

Machine Learning syl..
Machine Learning syl..

Geometry, Integrability
Geometry, Integrability

The Learnability of Quantum States
The Learnability of Quantum States

... rather than ½ as with classical particles Fortunately, we show that with n bosons and mkn2 boxes, the probability of a collision is still at most (say) ½ ...
Limitations of Quantum Advice and One-Way
Limitations of Quantum Advice and One-Way

... Goal: Show that with o(2n/2) quantum queries, the probability of finding all 2n/10 marked items must be doubly exponentially small in n Beals et al: If a quantum algorithm makes T queries to X{0,1}N, then the probability it accepts a random X with |X|=k is a univariate polynomial p(k) of degree  2 ...
Coherent transport through a quantum dot in a strong magnetic field *
Coherent transport through a quantum dot in a strong magnetic field *

Quantum Computation and Quantum Information – Lecture 3
Quantum Computation and Quantum Information – Lecture 3

here - Nick Papanikolaou
here - Nick Papanikolaou

Quantum and Kala
Quantum and Kala

... Quantum physics laboratory demonstrations substantiate the Kala concept. Because of our Western scientific diehard fixation on objective reality perception, physicists are shocked and bewildered by such revelations. Most of them sweep “quantum weirdness” under the rug, out of mind. One world famous ...
Reversible universal quantum computation within translation
Reversible universal quantum computation within translation

Module Guide
Module Guide

Section 2 Notes
Section 2 Notes

... Returning now to the problem of the atom, it was realized that if, for a moment, we pictured the electron not as a particle but as a wave, then it was possible to get stable configurations. Imagine trying to establish a wave in a circular path about a nucleus. One possibility might look like the ill ...
Quantum Information—S. Lloyd, L. Levitov, T. Orlando, J. H. Shapiro, N.C. Wong
Quantum Information—S. Lloyd, L. Levitov, T. Orlando, J. H. Shapiro, N.C. Wong

... Superconducting systems present a variety of opportunities for quantum information processing. In collaboration with Delft Institute of Technology, we have demonstrated the first macroscopic quantum superposition of circulating supercurrents, and have designed devices in which such systems function ...
Abstract
Abstract

Document
Document

Quantum Imaging: New Methods and Applications Robert W. Boyd
Quantum Imaging: New Methods and Applications Robert W. Boyd

... We formulate a theory for entangled imaging, which ich includes also the case of a large number of photons in the two entangled beams. We show that the results for imaging and for the wave-particle duality features, which have been demonstrated in the microscopic case, persist in the macroscopic dom ...
ppt - Max-Planck
ppt - Max-Planck

... - Leggett-Garg inequality is fulfilled (despite the non-classical Hamiltonian) - However: Decoherence cannot account for a continuous spatiotemporal description of the spin system in terms of classical laws of motion. - Classical physics: differential equations for observable quantitites (real space ...
Lecture 4 1 Unitary Operators and Quantum Gates
Lecture 4 1 Unitary Operators and Quantum Gates

... A quantum operation which copied states would be very useful. For example, we considered the following ...
Quantum Optics and Quantum Engineering for Undergraduates
Quantum Optics and Quantum Engineering for Undergraduates

Smolin - Bell paper - International Journal of Quantum Foundations
Smolin - Bell paper - International Journal of Quantum Foundations

... oscillate in the potential. It follows from linear algebra that the eigenvalues also undergo Brownian motion. The work is then to show that the parameters of the theory can be scaled with N in such a way that quantum dynamics is realized for the eigenvalues. I won’t give the details here, but they c ...
Lecture 2 - Artur Ekert
Lecture 2 - Artur Ekert

... way of performing a quantum interference experiment – there are many others. Atoms, molecules, nuclear spins and many other quantum objects can be prepared in two distinct states, internal or external, labelled as 0 and 1 and manipulated so that transition amplitudes between these states are the sam ...
Ramsay_20_01_09
Ramsay_20_01_09

... dot provides electronic confinement in all three spatial dimensions, resulting in a set of discrete energy levels energetically isolated from their solid-state environment. This results in an atom-like coherent light-matter interaction, where key signatures such as Rabi oscillations, Ramsey interfer ...
A First Introduction to Quantum Behavior
A First Introduction to Quantum Behavior

... possible path. Some ways of teaching the ideas lead very strongly to overconcrete interpretation. One popular idea is to push a rotating wheel along a number of paths and to note the total rotation for each path. This very effectively shows how, for example, the results of Figure 2 arise. But studen ...
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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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