Quoc-Hoan Tran

According to our database, Quoc-Hoan Tran authored at least 29 papers between 2013 and 2026.

Collaborative distances:

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

2026

Resource-efficient equivariant quantum convolutional neural networks.

Koki Chinzei, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

Quantum Mach. Intell., June, 2026

Latent-Conditioned Parameterized Quantum Circuits as Universal Approximators for Distributions over Quantum States.

Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima

CoRR, May, 2026

Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model.

Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima

CoRR, February, 2026

Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution.

Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima

CoRR, January, 2026

Quantum Transformer for Molecular Learning: Multi-Configuration Ground-State Energy Prediction.

Yuichi Kamata, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Learning quantum many-body data locally: A provably scalable framework.

Koki Chinzei, Quoc-Hoan Tran, Norifumi Matsumoto, Yasuhiro Endo, Hirotaka Oshima

CoRR, September, 2025

Iterative Quantum Feature Maps.

Nasa Matsumoto, Quoc-Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima

CoRR, June, 2025

Molecular Quantum Transformer.

Yuichi Kamata, Quoc-Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

CoRR, March, 2025

Enhancing variational quantum algorithms by balancing training on classical and quantum hardware.

Rahul Bhowmick, Harsh Wadhwa, Avinash Singh, Tania Sidana, Quoc Hoan Tran, Krishna Kumar Sabapathy

CoRR, March, 2025

2024

Quantum Curriculum Learning.

Quoc-Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

CoRR, 2024

Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks.

Koki Chinzei, Shinichiro Yamano, Quoc-Hoan Tran, Yasuhiro Endo, Hirotaka Oshima

CoRR, 2024

2023

Splitting and Parallelizing of Quantum Convolutional Neural Networks for Learning Translationally Symmetric Data.

Koki Chinzei, Quoc-Hoan Tran, Kazunori Maruyama, Hirotaka Oshima, Shintaro Sato

CoRR, 2023

Variational Denoising for Variational Quantum Eigensolver.

Quoc-Hoan Tran, Shinji Kikuchi, Hirotaka Oshima

CoRR, 2023

A Simple Model Predictive Current Control to Improve Current Performance with Fixed Switching Frequency for Four-leg VSI fed Two-phase Loads.

Huu-Cong Vu, Quoc-Hoan Tran, Duy-Anh Dong, Khanh Duc Hoang, Tan Luong Van

Proceedings of the International Conference on System Science and Engineering, 2023

2022

Quantum-Classical Hybrid Information Processing via a Single Quantum System.

Quoc-Hoan Tran, Sanjib Ghosh, Kohei Nakajima

CoRR, 2022

Quantum Noise-Induced Reservoir Computing.

Tomoyuki Kubota, Yudai Suzuki, Shumpei Kobayashi, Quoc-Hoan Tran, Naoki Yamamoto, Kohei Nakajima

CoRR, 2022

Model Predictive Control for Voltage Regulation in Bidirectional Boost Converter.

Duy-Long Nguyen, Huu-Cong Vu, Quoc-Hoan Tran, Hong-Hee Lee

Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022

A Modulated Model Predictive Control for Three-Phase Three-Level T-Type Inverter.

Quoc-Binh Nguyen, Pham Chi Dung, Huu-Cong Vu, Tuyen Nguyen Dinh, Quoc-Hoan Tran

Proceedings of the 11th International Conference on Control, 2022

2021

Learning Temporal Quantum Tomography.

Quoc-Hoan Tran, Kohei Nakajima

CoRR, 2021

2020

Universal Approximation Property of Quantum Feature Map.

Takahiro Goto, Quoc-Hoan Tran, Kohei Nakajima

CoRR, 2020

Higher-Order Quantum Reservoir Computing.

Quoc-Hoan Tran, Kohei Nakajima

CoRR, 2020

Evaluating the phase dynamics of coupled oscillators via time-variant topological features.

Kazuha Itabashi, Quoc-Hoan Tran, Yoshihiko Hasegawa

CoRR, 2020

Topological Persistence Machine of Phase Transitions.

Quoc-Hoan Tran, Mark Chen, Yoshihiko Hasegawa

CoRR, 2020

Simplified Space-Vector Modulation Strategy for Indirect Matrix Converter With Common-Mode Voltage and Harmonic Distortion Reduction.

Quoc-Hoan Tran, Tuyen Dinh Nguyen, Le Minh Phuong

IEEE Access, 2020

2018

An Advanced Modulation Strategy for Three-to-Five-Phase Indirect Matrix Converters to Reduce Common-Mode Voltage With Enhanced Output Performance.

Quoc-Hoan Tran, Hong-Hee Lee

IEEE Trans. Ind. Electron., 2018

Scale-variant topological information for characterizing complex networks.

Quoc-Hoan Tran, Van Tuan Vo, Yoshihiko Hasegawa

CoRR, 2018

2015

A Fuzzy Logic Controller for Indirect Matrix Converter Under Abnormal Input Voltage Conditions.

Quoc-Hoan Tran, Hong-Hee Lee

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014

A carrier-based modulation method to reduce switching losses for indirect matrix converters.

Quoc-Hoan Tran, Nho-Van Nguyen, Hong-Hee Lee

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

2013

Fault tolerant strategy for inverter stage in indirect matrix converter.

Quoc-Hoan Tran, Tae-Won Chun, Hong-Hee Lee

Proceedings of the IECON 2013, 2013