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Noise Robustness of the Nonlocality of Entangled Quantum States
Noise Robustness of the Nonlocality of Entangled Quantum States

The Problem of Confirmation in the Everett Interpretation
The Problem of Confirmation in the Everett Interpretation

Quantum boolean functions - Chicago Journal of Theoretical
Quantum boolean functions - Chicago Journal of Theoretical

... there are many reasons to expect that this development will have more than superficial consequences. Indeed, quantum algorithmic techniques have already had important consequences within the field of classical complexity theory alone, leading to a simple proof of the closure of PP under intersection ...
Many-Body Localization
Many-Body Localization

Sufficient Conditions for Efficient Classical Simulation of Quantum
Sufficient Conditions for Efficient Classical Simulation of Quantum

... measurement are only characterized approximately, so one does not sample from the exact probability distribution (2.1). Moreover, one might not be able to distinguish efficiently sampling from two probability distributions that are close to one another. Hence, in practice, an interesting sampling pr ...
Primitive ontology and quantum state in the GRW matter density theory
Primitive ontology and quantum state in the GRW matter density theory

Structure, Individuality and Quantum Gravity
Structure, Individuality and Quantum Gravity

Quantum error correction
Quantum error correction

... This thesis intends to familiarise the reader with quantum error correction, and also show some relations to the well known concept of information – and the lesser known quantum information. Quantum information describes how information can be carried by quantum states, and how interaction with othe ...
t - UTK-EECS
t - UTK-EECS

quantum transition-state theory. II. Recovery of the exact quantum
quantum transition-state theory. II. Recovery of the exact quantum

Tight bounds on quantum searching
Tight bounds on quantum searching

Quantum Mechanics (Part II)
Quantum Mechanics (Part II)

... twentieth century, it was then realized that matter, by then universally thought to be made up of particles, sometimes behaved like a wave, confounding our intuitions about the working of the world, but also holding out the hope that since both matter and light exhibited this so-called wave-particle ...
QUANTUM PHASE ESTIMATION WITH ARBITRARY CONSTANT
QUANTUM PHASE ESTIMATION WITH ARBITRARY CONSTANT

Non-Gaussianity of quantum states: an experimental test on single
Non-Gaussianity of quantum states: an experimental test on single

Communications: Entanglement switch for dipole arrays
Communications: Entanglement switch for dipole arrays

... We propose a new entanglement switch of qubits consisting of electric dipoles oriented along or against an external electric field and coupled by the electric dipole-dipole interaction. The pairwise entanglement can be tuned and controlled by the ratio of the Rabi frequency and the dipole-dipole cou ...
Superluminal Quantum Models of the Photon and Electron
Superluminal Quantum Models of the Photon and Electron

Asymptotic Notation - Department of Computer Science
Asymptotic Notation - Department of Computer Science

... Jozef Gruska, Quantum Computing, McGraw-Hill, 1999 (ISBN 0-07709503-0) Mika Hirvensalo, Quantum Computing, Springer, 2001 (ISBN 3-54066783-0) Dirk Bouwmeester, Artur Ekert, Anton Zeilinger (Eds.), The Physics of Quantum Information, Springer, 2000 (ISBN 3-540-66778-4) Byron and Fuller, Mathematics o ...
User Manual - Redbrick
User Manual - Redbrick

... The Quantum Computing Language contains a number of classical programming components. The term classical refers to non-quantum components. These components are very similar to programming components found in a language like ”C”. The QCL has 5 data types; int, string complex, boolean real, all of whi ...
On Quantum Sieve Approaches to the Lattice
On Quantum Sieve Approaches to the Lattice

... A lattice is a discrete additive subgroup of Rm . A basis for a lattice L is a set of n linearly independent vectors b1 ...bn s.t. L = {Σni=1 ai bi |∀i ai ∈ Z}, i.e. a set of vectors s.t. the lattice is the set of all integer combinations of these vectors. If we are given a set of linearly independe ...
New Approach for Finding the Phase Shift Operator via the IWOP
New Approach for Finding the Phase Shift Operator via the IWOP

How We May Be Free From Physics - Philsci
How We May Be Free From Physics - Philsci

... (2) It is not possible to change the past. (3) It is not possible to violate the laws. There is a large literature debating the necessity of (1); and the most prominent line is what is known as the Frankfurt-type cases against the “principle of alternative possibilities (PAP)” (cf. Kane 2002, part V ...
cond-mat/0406008 PDF
cond-mat/0406008 PDF

@let@token Polarized Ensembles of Random Quantum States
@let@token Polarized Ensembles of Random Quantum States

Unifying Classical and Quantum Key Distillation
Unifying Classical and Quantum Key Distillation

... according to a tripartite state ρABE . In addition, Alice and Bob can use local operations and authenticated public classical communication. Their goal is to establish a key which is unknown to Eve. We initiate the study of this scenario as a unification of two standard scenarios: (i) key distillati ...
Quantum Algorithms for Estimating Gauss Sums and Calculating
Quantum Algorithms for Estimating Gauss Sums and Calculating

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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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