Kazuki Sakamoto

According to our database, Kazuki Sakamoto authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Polynomial time constructive decision algorithm for multivariable quantum signal processing.

Yuki Ito, Hitomi Mori, Kazuki Sakamoto, Keisuke Fujii

Quantum, 2026

2025

Computational complexity of Berry phase estimation in topological phases of matter.

Ryu Hayakawa, Kazuki Sakamoto, Chusei Kiumi

CoRR, September, 2025

On the quantum computational complexity of classical linear dynamics with geometrically local interactions: Dequantization and universality.

Kazuki Sakamoto, Keisuke Fujii

CoRR, May, 2025

A Quantum Algorithm for Nonlinear Electromagnetic Fluid Dynamics via Koopman-Von Neumann Linearization: 1D Numerical Evaluation Using Qulacs.

Hayato Higuchi, Yuki Ito, Kazuki Sakamoto, Keisuke Fujii, Juan William Pedersen, Akimasa Yoshikawa

Proceedings of the IEEE International Conference on Quantum Software, 2025

2024

End-to-end complexity for simulating the Schwinger model on quantum computers.

Kazuki Sakamoto, Hayata Morisaki, Junichi Haruna, Etsuko Itou, Keisuke Fujii, Kosuke Mitarai

Quantum, 2024

Planetary Causal Inference: Implications for the Geography of Poverty.

Kazuki Sakamoto, Connor T. Jerzak, Adel Daoud

CoRR, 2024

2023

Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments.

Takayasu Fushimi, Kazuki Sakamoto

Proceedings of the Discovery Science - 26th International Conference, 2023

2020

Development of Night Time Calling System by Eye Movement Using Wearable Camera.

Kazuki Sakamoto, Takeshi Saitoh, Kazuyuki Itoh

Proceedings of the HCI International 2020 - Late Breaking Papers: Universal Access and Inclusive Design, 2020

2019

Architecture of Integrated Machine Learning in Low Latency Mobile VR Graphics Pipeline.

Haomiao Jiang, Rohit Rao Padebettu, Kazuki Sakamoto, Behnam Bastani

Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019

2018

Feasibility Study on Deep Learning Scheme for Sign Language Motion Recognition.

Kazuki Sakamoto, Eiji Ota, Tatsunori Ozawa, Hiromitsu Nishimura, Hiroshi Tanaka

Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2018