activity
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 2016Show all

12 papers · 1 filter

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…

stat.ML2016★ 28 cited

Quantum Enhanced Inference in Markov Logic Networks

Peter Wittek, Christian Gogolin

Markov logic networks (MLNs) reconcile two opposing schools in machine learning and artificial intelligence: causal networks, which account for uncertainty extremely well, and firs…

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…

cond-mat.quant-gas2016★ 34 cited

Vortex dynamics in coherently coupled Bose-Einstein condensates

Luca Calderaro, Alexander L. Fetter, Pietro Massignan +1

In classical hydrodynamics with uniform density, vortices move with the local fluid velocity. This description is rewritten in terms of forces arising from the interaction with oth…

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…

cs.CL2016★ 2 cited

A Physical Metaphor to Study Semantic Drift

Sándor Darányi, Peter Wittek, Konstantinos Konstantinidis +2

In accessibility tests for digital preservation, over time we experience drifts of localized and labelled content in statistical models of evolving semantics represented as a vecto…

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…

cs.LG2016★ 95 cited

Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics

Pantita Palittapongarnpim, Peter Wittek, Ehsan Zahedinejad +2

Quantum control is valuable for various quantum technologies such as high-fidelity gates for universal quantum computing, adaptive quantum-enhanced metrology, and ultra-cold atom m…

cs.IR2016★ 40 cited

Risk and Ambiguity in Information Seeking: Eye Gaze Patterns Reveal Contextual Behaviour in Dealing with Uncertainty

Peter Wittek, Ying-Hsang Liu, Sándor Darányi +2

Information foraging connects optimal foraging theory in ecology with how humans search for information. The theory suggests that, following an information scent, the information s…

cs.DL2016★ 1 cited

Ruling Out Static Latent Homophily in Citation Networks

Peter Wittek, Sándor Darányi, Gustaf Nelhans

Citation and coauthor networks offer an insight into the dynamics of scientific progress. We can also view them as representations of a causal structure, a logical process captured…

cs.LG2016★ 38 cited

Inductive supervised quantum learning

Alex Monràs, Gael Sentís, Peter Wittek

In supervised learning, an inductive learning algorithm extracts general rules from observed training instances, then the rules are applied to test instances. We show that this spl…