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Paper Abstract and Keywords
Presentation 2023-05-29 16:30
[Poster Presentation] Improvement of QAOA for Solving TSP Efficiently
Hiroki Akita, Hiroshi Sekigawa, Wataru Takeda (TUS)
Abstract (in Japanese) (See Japanese page) 
(in English) Quantum Approximate Optimization Algorithm (QAOA) is one of the most known quantum algorithms made for solving optimization problems. Combinatorial optimization problems, however, are treated as quadratic programming problems in QAOA, therefore, the number of necessary qubits increases, and because Hadamard gates are put on all qubits as initial states, the number of quantum states explodes. We propose an improved QAOA initialized by W-States and reduce $2^{n^2}$ quantum states down to $(n − 1)^{n−1}$ when dealing with Traveling Salesman Problem (TSP) with n cities. We perform simulation experiments of TSP with five cities using IBM Quantum platform.
Keyword (in Japanese) (See Japanese page) 
(in English) QAOA / quantum algorithms / combinatorial optimization problems / W-State / TSP / the number of states / simulation experiments /  
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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) Improvement of QAOA for Solving TSP Efficiently 
Sub Title (in English)  
Keyword(1) QAOA  
Keyword(2) quantum algorithms  
Keyword(3) combinatorial optimization problems  
Keyword(4) W-State  
Keyword(5) TSP  
Keyword(6) the number of states  
Keyword(7) simulation experiments  
Keyword(8)  
1st Author's Name Hiroki Akita  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Hiroshi Sekigawa  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Wataru Takeda  
3rd Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2023-05-29 16:30:00 
Presentation Time 90 minutes 
Registration for QIT 
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