Approximate Solutions of Combinatorial Problems via Quantum Relaxations
- Bryce Fuller
- Charles Hadfield
- et al.
- 2021
- arXiv
Takashi Imamichi (今道 貴司) is a researcher at IBM Research - Tokyo. He belongs to Quantum Software group. He received the Bachelor of Engineering, Master of Informatics, and Doctor of Informatics degrees from Kyoto University in 2004, 2006, and 2009, respectively. His research interests include quantum computing, cutting and packing problems and metaheuristics.
Since he joined IBM in 2010, he had mainly worked on agent-based traffic flow simulation and contributed to the development of IBM Mega Traffic simulator (Megaffic). He was also involved in some Smarter Cities project using Megaffic to predict and mitigate traffic congestion in urban areas. He moved to Rio de Janeiro, Brazil in 2014 and worked for IBM Research - Brazil for three years. He was mainly involved in data mining and optimization projects for the natural resource industry. He came back to IBM Research - Tokyo in 2017.
He has been working on the development of Qiskit and application modules since 2017. Especially, he led the development of Qiskit Optimization from 2019 to 2023. He has been currently working on the development of Qiskit Primitives since 2022.