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Analiza i zastosowanie kwantowego wyszukiwania przestrzennego [1]

Stypendium doktorskie przyznane w ramach konkursu "Etiuda 7", finansowane przez Narodowe Centrum Nauki.

Stypendysta: Adam Glos

Promotor: Jarosław Adam Miszczak

Numer projektu:

2019/32/T/ST6/00158

Termin:

od 01/10/2019 do 01/10/2021

Typ projektu:

Projekt własny badawczy

Wykonawcy projektu:

dr hab. Jarosław Miszczak [2]

Kierownik zespołu / promotor:

dr Adam Glos [3]

Publikacje:

Upperbounds on the probability of finding marked connected components using quantum walks [4]

Space-efficient binary optimization for variational computing [5]

Asymptotic entropy of the Gibbs state of complex networks [6]

Quantum Speedups for Dynamic Programming on n-Dimensional Lattice Graphs [7]

Quantum speedup for track reconstruction in particle accelerators [8]

Comment to Spatial Search by Quantum Walk is Optimal for Almost all Graphs [9]

Links
[1] https://antycovid.iitis.pl/pl/project/analiza-i-zastosowanie-kwantowego-wyszukiwania-przestrzennego [2] https://antycovid.iitis.pl/person/jmiszczak [3] https://antycovid.iitis.pl/person/aglos [4] https://antycovid.iitis.pl/pl/content/upperbounds-probability-finding-marked-connected-components-using-quantum-walks [5] https://antycovid.iitis.pl/pl/content/space-efficient-binary-optimization-variational-computing [6] https://antycovid.iitis.pl/pl/content/asymptotic-entropy-gibbs-state-complex-networks [7] https://antycovid.iitis.pl/pl/content/quantum-speedups-dynamic-programming-n-dimensional-lattice-graphs [8] https://antycovid.iitis.pl/pl/content/quantum-speedup-track-reconstruction-particle-accelerators [9] https://antycovid.iitis.pl/pl/content/comment-spatial-search-quantum-walk-optimal-almost-all-graphs