In-Saeng Suh

According to our database, In-Saeng Suh authored at least 31 papers between 2015 and 2026.

Collaborative distances:

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

2026

Distributed Quantum Optimization for Large-Scale Higher-Order Problems with Dense Interactions.

Seongmin Kim, Vincent R. Pascuzzi, Travis S. Humble, Thomas Beck, Sanghyo Hwang, Tengfei Luo, Eungkyu Lee, In-Saeng Suh

CoRR, April, 2026

Harnessing Quantum Computing for Energy Materials: Opportunities and Challenges.

Seongmin Kim, In-Saeng Suh, Travis S. Humble, Thomas Beck, Eungkyu Lee, Tengfei Luo

CoRR, January, 2026

The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute.

Gilles Buchs, Thomas L. Beck, Ryan S. Bennink, Daniel Claudino, Andrea Delgado, Nur Aiman Fadel, Peter Groszkowski, Kathleen E. Hamilton, Travis S. Humble, Neeraj Kumar, Ang Li, Phillip C. Lotshaw, Olli Mukkula, Ryousei Takano, Amit Saxena, In-Saeng Suh, Miwako Tsuji, Roel Van Beeumen, Ugo Varetto, Yan Wang, Kazuya Yamazaki, Mikael P. Johansson

Future Gener. Comput. Syst., 2026

Diagonal-Budgeted Trotterization for Efficient Quantum Hamiltonian Simulation.

Srikar Chundury, Blake Burgstahler, Jiajia Li, In-Saeng Suh, Frank Mueller

Proceedings of the 40th ACM International Conference on Supercomputing, 2026

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., June, 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, In-Saeng Suh

CoRR, June, 2025

Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning.

Seongmin Kim, In-Saeng Suh

CoRR, June, 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, April, 2025

Distributed Variational Quantum Algorithm with Many-qubit for Optimization Challenges.

Seongmin Kim, In-Saeng Suh

CoRR, March, 2025

Scaling Hybrid Quantum-HPC Applications with the Quantum Framework.

Srikar Chundury, Amir Shehata, Seongmin Kim, Muralikrishnan Gopalakrishnan Meena, Chao Lu, Kalyana C. Gottiparthi, Eduardo Antonio Coello Pérez, Frank Mueller, In-Saeng Suh

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

Quantum Ans#X00e4;Tze for Green's Functions of Single-Impurity Anderson Models at Half-Filling.

Eduardo Antonio Coello Pérez, Dmytro Bykov, Markus Eisenbach, Swarnava Ghosh, Muralikrishnan Gopalakrishnan Meena, Seongmin Kim, Mariia Karabin, David Rogers, Amir Shehata, Tanvir Sohail, In-Saeng Suh, Hanna Terletska

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Assessing VQLS for Fluid Dynamics on a Hybrid Quantum-HPC Stack.

Muralikrishnan Gopalakrishnan Meena, Chao Lu, Eduardo Antonio Coello Pérez, Amir Shehata, Seongmin Kim, Kalyana Chakravarthi Gottiparthi, In-Saeng Suh

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Practical Scalability of LuGo: Benchmarking the HHL Algorithm Using an Enhanced QPE Algorithm.

Chao Lu, Muralikrishnan Gopalakrishnan Meena, Antigoni Georgiadou, Kalyana Chakravarthi Gottiparthi, Michael A. Sandoval, Eduardo Antonio Coello Pérez, Paul Lin, In-Saeng Suh, Seongmin Kim, Alessandro Baroni

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Quantum Approximate Optimization Algorithm on Different Qubit Systems.

Seongmin Kim, In-Saeng Suh, Eduardo Antonio Coello Pérez, Ryan Landfield, Michael A. Sandoval, Josh Cunningham, Thomas Beck, Heidi Nelson-Quillin, Erica Stump

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Quantum Simulators and Applications on Quantum Framework.

Srikar Chundury, Zhihao Xu, Amir Shehata, Seongmin Kim, Frank Mueller, In-Saeng Suh

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

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., June, 2024

Integrating quantum computing resources into scientific HPC ecosystems.

Thomas L. Beck, Alessandro Baroni, Ryan S. Bennink, Gilles Buchs, Eduardo Antonio Coello Pérez, Markus Eisenbach, Rafael Ferreira da Silva, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi, Peter Groszkowski, Travis S. Humble, Ryan Landfield, Ketan Maheshwari, Sarp Oral, Michael A. Sandoval, Amir Shehata, In-Saeng Suh, Christopher Zimmer

Future Gener. Comput. Syst., 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, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev

Future Gener. Comput. Syst., 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

DiaQ: Efficient State-Vector Quantum Simulation.

Srikar Chundury, Jiajia Li, In-Saeng Suh, Frank Mueller

CoRR, 2024

TANQ-Sim: Tensorcore Accelerated Noisy Quantum System Simulation via QIR on Perlmutter HPC.

Ang Li, Chenxu Liu, Samuel A. Stein, In-Saeng Suh, Muqing Zheng, Meng Wang, Yue Shi, Bo Fang, Martin Roetteler, Travis S. Humble

CoRR, 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

Integrating Quantum Computing with High-Performance Computing: A Streamlined Approach.

Amir Shehata, Thomas J. Naughton, In-Saeng Suh

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

A Framework for Integrating Quantum Simulation and High Performance Computing.

Amir Shehata, Thomas J. Naughton, In-Saeng Suh

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Simulations of Quantum Approximate Optimization Algorithm on HPC-QC Integrated Systems.

Seongmin Kim, In-Saeng Suh

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quantum/AI Topology-Aware Latency-Adaptive HPC Workflow Scheduling Optimization.

Braulio Caraveo, Liwen Shih, In-Saeng Suh, Travis S. Humble

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

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

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

A PEPS Plugin for TNQVM.

Srikar Chundury, Justin Lietz, Eduardo Antonio Coello Pérez, Amir Shehata, In-Saeng Suh, Frank Mueller

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Advanced Quantum Poisson Solver in the NISQ era.

Walter Robson, Kamal K. Saha, Connor Howington, In-Saeng Suh, Jaroslaw Nabrzyski

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

2015

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