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McTaggart distinguished two conceptions of time - Philsci
McTaggart distinguished two conceptions of time - Philsci

Codes and designs for quantum error correction
Codes and designs for quantum error correction

... domain. This characteristic of entanglement-assisted quantum error-correcting codes led to a series of research that tryed to identify excellent linear codes which can be imported by using only a small number of ebits [25, 47, 24, 12, 11, 15, 48, 49, 26, 34, 18, 23]. Very recently, a framework that ...
EmQM15-Symposium Introduction-Walleczek-Grössing-10-23-2015
EmQM15-Symposium Introduction-Walleczek-Grössing-10-23-2015

... 1. Is the world local or nonlocal? What is nonlocality? 2. If nonlocal, i.e., superluminal, influences exist, then why can’t they be used for superluminal signalling and communication? 3. How is the role of the scientific observer/agent to be accounted for in realistic approaches to quantum theory? ...
x - PMF
x - PMF

URL - StealthSkater
URL - StealthSkater

... The ontologically essential lesson of the Quantum Theory was that the classical idea of particles and fields was wrong. The electromagnetic field turned out to have a particle aspect. And particles like the electron turned out to have a field aspect. The most fundamental ontological feature of the Q ...
Quantum Energy–based P Systems - Computational Biology and
Quantum Energy–based P Systems - Computational Biology and

... state (|0i or |1i) in order to realize the required n–configuration |x1 , . . . , xn i, quantum realization of an input Boolean tuple of length n. Then, a linear operator G : ⊗n C2 → ⊗n C2 is applied to the n–register. The application of G has the effect of transforming the n–configuration |x1 , . . ...
PDF
PDF

... Quantum entanglement and squeezing have been exploited in the context of interferometry, frequency measurements, lithography, and algorithms (see for example Refs. [1]) in order to beat classical limitations. In this paper, we show that entanglement and squeezing can also be used to increase the acc ...
No-Go Theorem for the Composition of Quantum
No-Go Theorem for the Composition of Quantum

... 1jjψiÞ built into the Born probabilities. In two dimensions it is harmless, although in certain higher dimensions we have shown that it falls to compactness [11]. Here, we weaken the rule and consider deterministic hiddenvariables theories that are only required to follow it in one direction. Assump ...
Proton tomography with Wigner distributions
Proton tomography with Wigner distributions

... Wigner function in quantum mechanics W ( p, r )   dD e ipD    r  12 D  r  12 D  ...
PPT
PPT

... • A better theoretical explanation of Bell’s inequality, perhaps using Joe Eberly’s method. • Few lab days, longer time period (so that disalignment is less of a risk) ...
Document
Document

... A hydrogen atom electron is excited to an energy of −13.6/4 eV. How many different quantum states could the electron be in? That is, how many wave functions ynℓm have this energy? ...
A New Model of Shiatsu Energy
A New Model of Shiatsu Energy

... has in linking the physical body, emotions, mind and spirit. The quantum view of the world where all of existence is simultaneously made up of waves and particles, and where connection is an integral part of nature makes sense to us involved in Shiatsu (Damasio,1994; Del Giudice, 2005, p9) We “tune” ...
Slides
Slides

... Duality: when two seemingly distinct systems are actually the same, usually under some non-obvious change of variables (e.g. bose/fermi equivalence, Ising high/low temperature duality in 1+1 dimensions). Equivalently, a quantum system with multiple classical limits. ...
A Model on Genome Evolution
A Model on Genome Evolution

Evolving Quantum circuits - Portland State University
Evolving Quantum circuits - Portland State University

Chapter 2 Quantum states and observables - FU Berlin
Chapter 2 Quantum states and observables - FU Berlin

Fermi accelerator in atom optics
Fermi accelerator in atom optics



Entanglement Monotones and Measures: an overview 1
Entanglement Monotones and Measures: an overview 1

DY 12.1–12.7 - DPG
DY 12.1–12.7 - DPG

... (VCSEL) with saturable absorbtion subjected to time-delayed optical feedback. In the absence of delayed feedback, a single branch of localized solutions appears. However, in the presence of the feedback term, the branches of localized solutions fill the surface of the ”solution tube” in the paramete ...
Private Quantum Channels
Private Quantum Channels

... state  taken from some set S , without allowing Eve to obtain any information about . Alice and Bob could easily achieve such security if they share n EPR-pairs (or if they were able to establish EPR-pairs over a secure quantum channel), for then they can apply teleportation [1] and transmit every ...
The importance of the Empty Set and
The importance of the Empty Set and

... First one needs to understand the role of Bijection which is essential for a rigorous counting and constitutes the beginning of set theory and the work of G. Cantor [2,3]. Second we need to understand and appreciate the method of complete induction. It is due to Pascal but if one goes back in histor ...
A reasonable thing that just might work Abstract Daniel Rohrlich
A reasonable thing that just might work Abstract Daniel Rohrlich

- Natural Sciences Publishing
- Natural Sciences Publishing

... The Jaynes-Cummings (JC) model [1] has been used extensively in quantum optics to describe the quantum feature of the interaction of a single two-level atom with a quantized radiation field. Despite its simplicity, the JC model has great importance because technological advances have enabled the res ...
Physical Chemistry 2nd Edition
Physical Chemistry 2nd Edition

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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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