Publications (no priority list, rather random and quite unstructured)

2024/2025

• Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo, Jason Zev Ludmir, Yuqian Huo, Nicholas S. DiBrita, and Tirthak Patel, ACM International SIGMETRICS Conference (SIGMETRICS 2025)
• ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks, Nicholas S. DiBrita, Daniel Leeds, Yuqian Huo, Jason Zev Ludmir, and Tirthak Patel, IEEE/ACM International Conference on Computer Aided Design (ICCAD 2024)
• PARALLAX: A Compiler for Neutral Atom Quantum Computers under Hardware Constraints, Jason Zev Ludmir and Tirthak Patel, ACM/IEEE International Conference on High-Performance Computing, Networking, Storage and Analysis (SC 2024)
• Quantum State Learning Implies Circuit Lower Bounds, Nai-Hui Chia, Daniel Liang, Fang Song, [arXiv], Contributed talk at TQC2024, In submission
• A Cryptographic Perspective on the Verifiability of Quantum Advantage, Nai-Hui Chia, Honghao Fu, Fang Song, Penghui Yao, [arXiv], Contributed talk at AQIS2024, In submission
• Complexity Theory for Quantum Promise Problems, Nai-Hui Chia, Kai-Min Chung, Tzu-Hsiang Huang, Jhih-Wei Shih, In submission
• The Black-Box Simulation Barrier Persists in a Fully Quantum World, Nai-Hui Chia, Kai-Min Chung, Xiao Liang, Jiahui Liu, [arXiv], In submission
• A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm, Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis, [arXiv], In submission
• Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy, Nai-Hui Chia, Min-Hsiu Hsieh, Shih-Han Hung, En-Jui Kuo, [arXiv], In submission
• Grover-QAOA for 3-SAT: Quadratic speedup, fair-sampling, and parameter clustering, Zewen Zhang, Roger Paredes, Bhuvanesh Sundar, David Quiroga, Anastasios Kyrillidis, Leonardo Duenas-Osorio, Guido Pagano, Kaden RA Hazzard, 2024/2/4, arXiv preprint arXiv:2402.02585
• Progress and prospects of quantum emission from perovskites, Arka Chatterjee, Sadie Brasel, Autumn Bruncz, Wenging Wu, Shengxi Huang, MRS Communications 14, 1015-1026 (2024).
• Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression, Ziyang Wang, Jeewan Ranasinghe, Wenjing Wu, Dennis Chan, Ashley Gomm, Rudolph Tanzi, Can Zhang, Nanying Zhang, Genevera Allen, Shengxi Huang, ACS Nano, submitted
• Thickness-Dependent Polaron Crossover in Tellurene, Kunyan Zhang, Chuliang Fu, Shelley Kelly, Liangbo Liang, Seounghun Kang, Jing Jiang, Ruifang Zhang, Yixiu Wang, Gang Wan, Phun Siriviboon, Mina Yoon, Peide Ye, Wenzhuo Wu, Mingda Li, Shengxi Huang, Science Advances, accepted.