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2020 – today
- 2024
[c2]Alireza Seif, Haoran Liao
, Vinay Tripathi, Kevin Krsulich, Moein Malekakhlagh, Mirko Amico, Petar Jurcevic, Ali Javadi-Abhari:
Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling. ISCA 2024: 310-324- [i2]Haoran Liao, Jidong Tian, Shaohua Hu, Hao He, Yaohui Jin:
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models. CoRR abs/2402.15764 (2024) - 2023
- [j2]Haoran Liao, Ian Convy, Zhibo Yang, K. Birgitta Whaley:
Decohering tensor network quantum machine learning models. Quantum Mach. Intell. 5(1): 1-16 (2023) - [c1]Chunhui Du, Jidong Tian, Haoran Liao, Jindou Chen, Hao He, Yaohui Jin:
Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task. EMNLP 2023: 2454-2470 - [i1]Haoran Liao, Derek S. Wang, Iskandar Sitdikov, Ciro Salcedo, Alireza Seif, Zlatko Minev:
Machine Learning for Practical Quantum Error Mitigation. CoRR abs/2309.17368 (2023) - 2022
- [j1]Ian Convy, William J. Huggins, Haoran Liao, K. Birgitta Whaley:
Mutual information scaling for tensor network machine learning. Mach. Learn. Sci. Technol. 3(1): 15017 (2022)
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