Temat: computation - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Models of quantum computation and quantum programming languages
Autorzy:: Miszczak, Jarosław Adam
Wydawca:: Polish Academy of Sciences
Opis:: Polish National Science Centre under the grants number N N516 475440, N N516 481840 and by the Polish Ministry of Science and Higher Education under the grant number N N519 442339
The goal of the presented paper is to provide an introduction to the basic computational models used in quantum information theory. We review various models of quantum Turing machine, quantum circuits and quantum random access machine (QRAM) along with their classical counterparts. We also provide an introduction to quantum programming languages, which are developed using the QRAM model. We review the syntax of several existing quantum programming languages and discuss their features and limitations.
Jarosław Miszczak
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Tytuł:: How Does a Simple Network of Chemical Oscillators See the Japanese Flag?
Autorzy:: Gorecki, Jerzy
Bose, Ashmita
Wydawca:: Frontiers Media SA
Cytata wydawnicza:: Front Chem. 2020 Nov 9;8:580703. https://doi.org/10.3389/fchem.2020.580703.
Opis:: European Union’s Horizon 2020 Marie Skodowska-Curie grant agreement No. 711859, Polish Ministry of Science and Higher Education
Chemical computing is something we use every day (e.g., in the brain), but we can still not explore and master its potential in human-made experiments. It is expected that the maximum computational efficiency of a chemical medium can be achieved if information is processed in parallel by different parts of the medium. In this paper, we use computer simulations to explore the efficiency of chemical computing performed by a small network of three coupled chemical oscillators. We optimize the network to recognize the white and red regions of the Japanese flag. The input information is introduced as the inhibition times of individual oscillators, and the output information is coded in the number of activator maxima observed on a selected oscillator. We have used the Oregonator model to simulate the network time evolution and the evolutionary optimization to find the best network for the considered task. We have found that even a network of three interacting oscillators can recognize the color of a randomly selected point with 95% accuracy.
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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