A new multi-scale structure finding algorithm to identify cosmological structure. - Ali Snedden; Lara Arielle Phillips; Grant J. Mathews; Jared Coughlin; In-Saeng Suh; Aparna Bhattacharya (J. Comput. Phys., 2015)

Advanced Quantum Poisson Solver in the NISQ era. - Walter Robson; Kamal K. Saha; Connor Howington; In-Saeng Suh; Jaroslaw Nabrzyski (QCE, 2022)

A PEPS Plugin for TNQVM. - Srikar Chundury; Justin Lietz; Eduardo Antonio Coello Pérez; Amir Shehata; In-Saeng Suh; Frank Mueller 001 (QCE, 2023)

Characterizing Quantum Classifier Utility in Natural Language Processing Workflows. - Kathleen E. Hamilton; Mayanka Chandra Shekar; John Gounley; Dhanvi Bharadwaj; Prasanna Date; Eduardo Antonio Coello Pérez; In-Saeng Suh; Georgia D. Tourassi (QCE, 2023)

Bridging HPC and Quantum Systems using Scientific Workflows. - Samuel T. Bieberich; Ketan C. Maheshwari; Sean R. Wilkinson; Prasanna Date; In-Saeng Suh; Rafael Ferreira da Silva (CoRR, 2023)

Quantum/AI Topology-Aware Latency-Adaptive HPC Workflow Scheduling Optimization. - Braulio Caraveo; Liwen Shih; In-Saeng Suh; Travis S. Humble (QCE, 2024)

Simulations of Quantum Approximate Optimization Algorithm on HPC-QC Integrated Systems. - Seongmin Kim; In-Saeng Suh (QCE, 2024)

A Framework for Integrating Quantum Simulation and High Performance Computing. - Amir Shehata; Thomas J. Naughton; In-Saeng Suh (QCE, 2024)

Integrating Quantum Computing with High-Performance Computing: A Streamlined Approach. - Amir Shehata; Thomas J. Naughton; In-Saeng Suh (QCE, 2024)

Adiabatic Quantum Support Vector Machines. - Prasanna Date; Dong Jun Woun; Kathleen E. Hamilton; Eduardo Antonio Coello Pérez; Mayanka Chandra Shekar; Francisco Rios; John Gounley; In-Saeng Suh; Travis S. Humble; Georgia D. Tourassi (CoRR, 2024)

TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC. - Ang Li 006; Chenxu Liu; Samuel Alexander Stein; In-Saeng Suh; Muqing Zheng; Meng Wang 033; Yue Shi; Bo Fang 002; Martin Roetteler; Travis S. Humble (CoRR, 2024)

DiaQ: Efficient State-Vector Quantum Simulation. - Srikar Chundury; Jiajia Li; In-Saeng Suh; Frank Mueller 001 (CoRR, 2024)

Distributed Quantum Approximate Optimization Algorithm on Integrated High-Performance Computing and Quantum Computing Systems for Large-Scale Optimization. - Seongmin Kim; Tengfei Luo; Eungkyu Lee; In-Saeng Suh (CoRR, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

Integrating quantum computing resources into scientific HPC ecosystems. - Thomas Beck; Alessandro Baroni 003; Ryan S. Bennink; Gilles Buchs; Eduardo Antonio Coello Pérez; Markus Eisenbach 002; Rafael Ferreira da Silva; Muralikrishnan Gopalakrishnan Meena; Kalyana C. Gottiparthi; Peter Groszkowski; Travis S. Humble; Ryan Landfield; et al. (Future Gener. Comput. Syst., 2024)

Enhancing scalability and accuracy of quantum poisson solver. - Kamal K. Saha; Walter Robson; Connor Howington; In-Saeng Suh; Zhimin Wang; Jaroslaw Nabrzyski (Quantum Inf. Process., 2024)

Distributed Variational Quantum Algorithm with Many-qubit for Optimization Challenges. - Seongmin Kim; In-Saeng Suh (CoRR, 2025)

Quantum Annealing for Combinatorial Optimization: A Benchmarking Study. - Seongmin Kim; Sang-Woo Ahn; In-Saeng Suh; Alexander W. Dowling; Eungkyu Lee; Tengfei Luo (CoRR, 2025)

Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning. - Seongmin Kim; In-Saeng Suh (CoRR, 2025)

GPU-Accelerated Distributed QAOA on Large-scale HPC Ecosystems. - Zhihao Xu; Srikar Chundury; Seongmin Kim; Amir Shehata; Xinyi Li; Ang Li; Tengfei Luo; Frank Mueller 001; In-Saeng Suh (CoRR, 2025)

Adiabatic quantum support vector machines. - Prasanna Date; Dong Jun Woun; Kathleen E. Hamilton; Eduardo Antonio Coello Pérez; Mayanka Chandrashekar; Francisco Rios; John Gounley; In-Saeng Suh; Travis S. Humble; Georgia D. Tourassi (Quantum Mach. Intell., 2025)