Implementation of Quantum Machine Learning for Electronic Structure Calculations of Periodic Systems on Quantum Computing Devices. - Shree Hari Sureshbabu; Manas Sajjan; Sangchul Oh; Sabre Kais (J. Chem. Inf. Model., 2021)

Expressive variational quantum circuits provide inherent privacy in federated learning. - Niraj Kumar 005; Jamie Heredge; Changhao Li; Shaltiel Eloul; Shree Hari Sureshbabu; Marco Pistoia (CoRR, 2023)

Heat-assisted detection and ranging. - Fanglin Bao; Xueji Wang; Shree Hari Sureshbabu; Gautam Sreekumar; Liping Yang; Vaneet Aggarwal; Vishnu Naresh Boddeti; Zubin Jacob (Nat., 2023)

Invited: Challenges and Opportunities of Quantum Optimization in Finance. - Zichang He; Shouvanik Chakrabarti; Dylan Herman; Niraj Kumar 005; Changhao Li; Pierre Minssen; Pradeep Niroula; Ruslan Shaydulin; Yue Sun; Shree Hari Sureshbabu; Romina Yalovetzky; Marco Pistoia (DAC, 2024)

Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era. - Zichang He; Ruslan Shaydulin; Dylan Herman; Changhao Li; Rudy Raymond; Shree Hari Sureshbabu; Marco Pistoia (ICCAD, 2024)

Prospects of Privacy Advantage in Quantum Machine Learning. - Jamie Heredge; Niraj Kumar 005; Dylan Herman; Shouvanik Chakrabarti; Romina Yalovetzky; Shree Hari Sureshbabu; Changhao Li; Marco Pistoia (CoRR, 2024)

Parameter Setting in Quantum Approximate Optimization of Weighted Problems. - Shree Hari Sureshbabu; Dylan Herman; Ruslan Shaydulin; Joao Basso; Shouvanik Chakrabarti; Yue Sun; Marco Pistoia (Quantum, 2024)

Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm. - Anuj Apte; Shree Hari Sureshbabu; Ruslan Shaydulin; Sami Boulebnane; Zichang He; Dylan Herman; James Sud; Marco Pistoia (CoRR, 2025)