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Paper Abstract and Keywords
Presentation 2023-05-30 14:50
Efficient Fault-Tolerant Approximate Quantum Fourier Transform by Precomputed Quantum States
Kento Oonishi (MELCO), Noboru Kunihiro (UTsukuba)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes efficient approximate quantum Fourier transformunder fault-tolerant setting. Quantum Fourier transform is one of the fundamental operations in quantum computation, and many researchers have proposed many constructions of quantum Fourier transform. Approximate quantum Fourier transform realizes efficient computation with small errors. However, phase gates in quantum Fourier transform require a high cost increasing the computational complexity under fault--tolerant setting. This paper proposes a new method for reducing the computational cost of approximate quantum Fourier transform using phase gates with constant computational time. Especially, our method uses more qubits for stored quantum states and reduces computational time drastically.
Keyword (in Japanese) (See Japanese page) 
(in English) Quantum circuit / Approximate Quantum Fourier Transform / Optimization / / / / /  
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Conference Information
Committee QIT  
Conference Date 2023-05-29 - 2023-05-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Katsura Campus, Kyoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quantum Information 
Paper Information
Registration To QIT 
Conference Code 2023-05-QIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efficient Fault-Tolerant Approximate Quantum Fourier Transform by Precomputed Quantum States 
Sub Title (in English)  
Keyword(1) Quantum circuit  
Keyword(2) Approximate Quantum Fourier Transform  
Keyword(3) Optimization  
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1st Author's Name Kento Oonishi  
1st Author's Affiliation Mitsubishi Electric Corporation (MELCO)
2nd Author's Name Noboru Kunihiro  
2nd Author's Affiliation University of Tsukuba (UTsukuba)
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Speaker Author-1 
Date Time 2023-05-30 14:50:00 
Presentation Time 15 minutes 
Registration for QIT 
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