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20122020
most citedQuantum Machine Learning

4.7k citations · 6.4k across the 32 of their papers we have counts for

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Showing 2016 · quant-phShow all

5 papers · 2 filters

quant-ph2016★ 43 cited

Efficient device-independent entanglement detection for multipartite systems

Flavio Baccari, Daniel Cavalcanti, Peter Wittek +1

Entanglement is one of the most studied properties of quantum mechanics for its application in quantum information protocols. Nevertheless, detecting the presence of entanglement i…

quant-ph2016★ 4.7k cited

Quantum Machine Learning

Jacob Biamonte, Peter Wittek, Nicola Pancotti +3

Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Since quantum systems produce co…

quant-ph2016★ 180 cited

Simulating positive-operator-valued measures with projective measurements

Michał Oszmaniec, Leonardo Guerini, Peter Wittek +1

Standard projective measurements represent a subset of all possible measurements in quantum physics, defined by positive-operator-valued measures. We study what quantum measurement…

quant-ph2016★ 2 cited

Single-shot Adaptive Measurement for Quantum-enhanced Metrology

Pantita Palittapongarnpim, Peter Wittek, Barry C. Sanders

Quantum-enhanced metrology aims to estimate an unknown parameter such that the precision scales better than the shot-noise bound. Single-shot adaptive quantum-enhanced metrology (A…

quant-ph2016★ 90 cited

Bell inequalities tailored to maximally entangled states

Alexia Salavrakos, Remigiusz Augusiak, Jordi Tura +3

Bell inequalities have traditionally been used to demonstrate that quantum theory is nonlocal, in the sense that there exist correlations generated from composite quantum states th…