Optimization and performance investigation of 1-Toffoli gate quantum full adders for spin-torque-based n-qubit architecture
Kulkarni, A., Haghparast, M., & Kaushik, B. K. (2024). Optimization and performance investigation of 1-Toffoli gate quantum full adders for spin-torque-based n-qubit architecture. Optical and Quantum Electronics, 56, Article 14. https://doi.org/10.1007/s11082-023-05597-9
Julkaistu sarjassa
Optical and Quantum ElectronicsPäivämäärä
2024Tekijänoikeudet
© The Author(s) 2023
Quantum computing (QC) is suitable for reversible computing due to its inherent parallel processing ability and fast speed. It also helps to address the issue of high-power dissipation in classical computing. Moreover, QC gates are the sequence of elementary operations such as single-qubit rotation and two-qubit entanglement. Elementary quantum operations are required to be reduced for the realization of complex computing. In this paper, optimization of 1-Tofoli gate-based quantum full adders (QFAs) in terms of the number of elementary operations with the help of quantum library {Ry, Rz, √ SWAP} is carried out. Moreover, the performance of two diferent 1-Tofoli QFAs is investigated in terms of execution time, fdelity, and number of electrons required to realize the QFAs. Improvement in fdelity is 0.7% and 0.57% for QFA1 and QFA2, respectively, compared to the fdelity of 2-Tofoli QFA. A 9.97% increase in execution time is mandatory for the QFA2 compared to QFA1. The QFA2 takes 5% more number of electrons in comparison to QFA1.
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SpringerISSN Hae Julkaisufoorumista
0306-8919Asiasanat
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https://converis.jyu.fi/converis/portal/detail/Publication/194787019
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This work has been supported by the Academy of Finland (project DEQSE 349945) and Business Finland (project TORQS 8582/31/2022). The authors also thank the Fr. C. Rodrigues Institute of Technology, Vashi, India; University of Jyväskylä, Finland; and Indian Institute of Technology Roorkee, India, for supporting this work. Open Access funding provided by University of Jyväskylä (JYU). Open Access funding is provided by the University of Jyväskylä (JYU).![showless](/themes/JYX2//images/showless.png)
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