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iSOMA swarm intelligence algorithm in synthesis of quantum computing circuits

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10252703" target="_blank" >RIV/61989100:27240/23:10252703 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/61989100:27740/23:10252703

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S156849462300368X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S156849462300368X</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.asoc.2023.110350" target="_blank" >10.1016/j.asoc.2023.110350</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    iSOMA swarm intelligence algorithm in synthesis of quantum computing circuits

  • Popis výsledku v původním jazyce

    In the present paper, we demonstrate the possibilities of designing quantum computing circuits using a specific swarm intelligence algorithm - iSOMA in the form of three experiments. All simulations are based on a simple sample of a quantum computing circuit from the Qiskit environment, which was used as a comparison circuit with the results of the three experiments already mentioned. In the first experiment, we try to find an arbitrary functional solution using iSOMA with minimal constraints on this circuit&apos;s design. It can be said that in this experiment, iSOMA showed the highest degree of &quot;creativity&quot;. In the second experiment, we focused on whether iSOMA can be used to find a circuit identical to the one designed by a human or equivalent with the positions of the measurement gates fixed. In the last experiment, we highlight iSOMA&apos;s ability to avoid unnecessary qubit usage by adding redundant qubits to a possible circuit and fixing the measurement gates to the last two qubits in the scheme. In all three experiments, we see that iSOMA can find efficient functional and often astonishing solutions - the proposed method applied to a classical circuit founded a new one preserving required properties while saving one ancilla (redundant, useless, non-used)1 qubit. All computations are implemented in the IBM Qiskit2 environment. Although these are relatively simple experiments, the results show that evolutionary algorithms can successfully design more complex quantum circuits. (C) 2023 The Authors

  • Název v anglickém jazyce

    iSOMA swarm intelligence algorithm in synthesis of quantum computing circuits

  • Popis výsledku anglicky

    In the present paper, we demonstrate the possibilities of designing quantum computing circuits using a specific swarm intelligence algorithm - iSOMA in the form of three experiments. All simulations are based on a simple sample of a quantum computing circuit from the Qiskit environment, which was used as a comparison circuit with the results of the three experiments already mentioned. In the first experiment, we try to find an arbitrary functional solution using iSOMA with minimal constraints on this circuit&apos;s design. It can be said that in this experiment, iSOMA showed the highest degree of &quot;creativity&quot;. In the second experiment, we focused on whether iSOMA can be used to find a circuit identical to the one designed by a human or equivalent with the positions of the measurement gates fixed. In the last experiment, we highlight iSOMA&apos;s ability to avoid unnecessary qubit usage by adding redundant qubits to a possible circuit and fixing the measurement gates to the last two qubits in the scheme. In all three experiments, we see that iSOMA can find efficient functional and often astonishing solutions - the proposed method applied to a classical circuit founded a new one preserving required properties while saving one ancilla (redundant, useless, non-used)1 qubit. All computations are implemented in the IBM Qiskit2 environment. Although these are relatively simple experiments, the results show that evolutionary algorithms can successfully design more complex quantum circuits. (C) 2023 The Authors

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10200 - Computer and information sciences

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Applied Soft Computing

  • ISSN

    1568-4946

  • e-ISSN

  • Svazek periodika

    142

  • Číslo periodika v rámci svazku

    July

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    12

  • Strana od-do

  • Kód UT WoS článku

    001053207300001

  • EID výsledku v databázi Scopus

    2-s2.0-85158874300