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The Threshold for Fault-Tolerant Quantum Computation
The Threshold for Fault-Tolerant Quantum Computation

Photoemission studies of quantum well states in thin films
Photoemission studies of quantum well states in thin films

Copenhagen interpretation From Wikipedia, the free encyclopedia
Copenhagen interpretation From Wikipedia, the free encyclopedia

Shor`s Factoring Algorithm and Modern Cryptography. An Illustration
Shor`s Factoring Algorithm and Modern Cryptography. An Illustration

BQP and the Polynomial Hierarchy
BQP and the Polynomial Hierarchy

... level, it is both theoretically and practically important to understand what classical resources are needed to simulate quantum physics. For example, when a quantum system evolves to a given state, is there always a short classical proof that it does so? Can one estimate quantum amplitudes using app ...
Document
Document

... GaAs qubits in quantum dots (Lars Schreiber) qubits in quantum dots (Lars Schreiber) Longest coherence time of all electrically ongest coherence time of all electrically ...
Quantum Information Processing
Quantum Information Processing

Quantum error-correcting codes from algebraic curves
Quantum error-correcting codes from algebraic curves

... 1.1. Introduction One of the applications of algebraic geometry (AG) codes is their use in the construction of quantum error-correcting codes. Quantum errorcorrection was developed by Shor [31] and has become one of key ingredients in quantum computation and quantum information theory. Calderbank an ...
A short introduction to unitary 2-designs
A short introduction to unitary 2-designs

... it satisfies some symmetries. Designs have existed in the mathematical world for hundreds of years. Many mathematical and physical structures, such as Latin squares, affine and projective planes, mutually unbiased bases, error correcting codes, and so much more, can be ultimately be shown to be some ...
Gravity as a fluid dynamic phenomenon in a superfluid
Gravity as a fluid dynamic phenomenon in a superfluid

Linear Optical Quantum Computing in a Single Spatial Mode
Linear Optical Quantum Computing in a Single Spatial Mode

... freedom for the manipulation of quantum states [2–9]. Consequently, scalable implementations of even few-qubit protocols in LOQC demand many spatial modes and complex routing networks with active switches, necessary to implement feed-forward [10]. Modern telecommunication suggests a promising altern ...
The Kitaev chain: theoretical model and experiments
The Kitaev chain: theoretical model and experiments

... Fei Chen, Stephanie Matern -chiff[email protected] [email protected] These two different couplings of MF correspond to two distinct topological phases. Here, the first case refers to a We will introduce a 1D toy model proposed by Kitaev [1] trivial, the second to a non-trivial phase. The Major ...
Colloidal Core/Shell quantum dots in our lab
Colloidal Core/Shell quantum dots in our lab

... Absorption (solid line) and PL spectra (dashed line) for bare-core CdSe NCs ...
Full randomness from arbitrarily deterministic events - diss.fu
Full randomness from arbitrarily deterministic events - diss.fu

A continued fraction resummation form of bath
A continued fraction resummation form of bath

Quantum Field Theory Frank Wilczek
Quantum Field Theory Frank Wilczek

ppt
ppt

... The rules extracted may represent a full scientific model of the data, or merely represent local patterns in the data. Labeled examples: training & testing data Admissible rules (hypotheses space) Search strategy ...
ORAMs in a Quantum World - Cryptology ePrint Archive
ORAMs in a Quantum World - Cryptology ePrint Archive

... flexible and at least as strong as all the other models proposed to date. We start by defining access patterns, which are the adversarial views produced during an execution of data requests. Our adaptive indistinguishability notion states that, for any computationally bounded adversary, it should be ...
PDF only - at www.arxiv.org.
PDF only - at www.arxiv.org.

14. Applications of Free-Space Optical Communications
14. Applications of Free-Space Optical Communications

slides
slides

Quantum Theory and the Brain - Biological and Soft Systems
Quantum Theory and the Brain - Biological and Soft Systems

... Now the brain has surely evolved over the ages in order to process information in a predictable manner. The trout cannot afford to hesitate as it rises for the mayfly. Without disputing this fact, however, it is possible to question whether the precise sequence of events in the fish’s brain are pred ...
Why Philosophers Should Care About
Why Philosophers Should Care About

幻灯片 1 - Peking University
幻灯片 1 - Peking University

... The rules extracted may represent a full scientific model of the data, or merely represent local patterns in the data. Labeled examples: training & testing data Admissible rules (hypotheses space) Search strategy ...
Simulating the transverse Ising model on a quantum computer: Error... with the surface code ), Hao You (
Simulating the transverse Ising model on a quantum computer: Error... with the surface code ), Hao You (

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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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