An FPGA-based Solution for Convolution Operation Acceleration. - Trung Dinh Pham; Bao Gia Bach; Lam Trinh Luu; Minh Dinh Nguyen; Hai Duc Pham; Khoa Bui Anh; Xuan Quang Nguyen; Cuong Pham-Quoc (CoRR, 2022)

Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization. - Trong Duong; Sang T. Truong; Minh Tam; Bao Bach; Ju-Young Ryu; June-Koo Kevin Rhee (CoRR, 2022)

Visualizing Quantum Circuit Probability - estimating computational action for quantum program synthesis. - Bao Gia Bach; Akash Kundu; Tamal Acharya; Aritra Sarkar (CoRR, 2023)

Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis. - Bao Gia Bach; Akash Kundu; Tamal Acharya; Aritra Sarkar (Entropy, 2023)

A Multilevel Approach for Solving Large-Scale QUBO Problems with Noisy Hybrid Quantum Approximate Optimization. - Filip B. Maciejewski; Bao G. Bach; Maxime Dupont; Paul Aaron Lott; Bhuvanesh Sundar; David E. Bernal Neira; Ilya Safro; Davide Venturelli (HPEC, 2024)

MLQAOA: Graph Learning Accelerated Hybrid Quantum-Classical Multilevel QAOA. - Bao Bach; Jose Falla; Ilya Safro (QCE, 2024)

QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits. - Ankit Kulshrestha; Xiaoyuan Liu 001; Hayato Ushijima-Mwesigwa; Bao Bach; Ilya Safro (QCE, 2024)

Efficient Compilation for Shuttling Trapped-Ion Machines via the Position Graph Architectural Abstraction. - Bao Bach; Ilya Safro; Ed Younis (CoRR, 2025)

Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach. - Kien X. Nguyen 001; Bao Bach; Ilya Safro (CoRR, 2025)

Provably faster randomized and quantum algorithms for k-means clustering via uniform sampling. - Tyler Chen; Archan Ray; Akshay Seshadri; Dylan Herman; Bao Bach; Pranav Deshpande; Abhishek Som; Niraj Kumar 005; Marco Pistoia (CoRR, 2025)