Semantic tensor networks for large data sets analysis

Kierownik projektu

dr hab. inż. Piotr Gawron

Wykonawcy

dr hab. Krzysztof Domino

dr hab. inż. Łukasz Pawela

prof. dr hab. Zbigniew Puchała

dr hab. Jarosław Adam Miszczak

dr inż. Michał Romaszewski

Numer projektu

2014/15/B/ST6/05204

Typ projektu

Projekt własny badawczy

Okres realizacji

2015-09-30 - 2019-03-29

Publikacje

The use of the multi-cumulant tensor analysis for the algorithmic optimisation of investment portfolios

Quantum hidden Markov models based on transition operation matrices

Properties of quantum stochastic walks from the asymptotic scaling exponent

Efficient computation of higher order cumulant tensors

An algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams

Superdiffusive quantum stochastic walk definable on arbitrary directed graph

Unified approach to geometric and positive-map-based non-linear entanglement identifiers

Introducing higher order correlations to marginals' subset of multivariate data by means of Archimedean copulas

Approximation of quantum control correction scheme using deep neural networks

Impact of global and local interaction on quantum spatial search on chimera graph

QuantumInformation.jl—a Julia package for numerical computation in quantum information theory

Multivariate cumulants in outlier detection for financial data analysis

An application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy

Projekt finansowany przez Narodowe Centrum Nauki (OPUS 8), numer: 2014/15/B/ST6/05204.

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