Shree Hari Sureshbabu
Computer Science · Purdue University West Lafayette
Publications
24
Citations
462
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2020
This researcher works on quantum computing, particularly on making near-term and early fault-tolerant quantum algorithms more practical. Their work covers optimization algorithms (like the Quantum Approximate Optimization Algorithm), techniques to improve quantum machine learning models, and understanding privacy and training difficulties (such as 'barren plateaus') in quantum computing systems. Applications mentioned include finance-related problems like option pricing.
Publication output grew from none in the late 2010s to a peak in 2024, with generally increasing activity over the past five years despite some year-to-year variation.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Iterative Interpolation Schedules for Quantum Approximate Optimization Algorithm
ACM Transactions on Quantum Computing · 2026
- Characterizing privacy in quantum machine learning
npj Quantum Information · 2025
- Characterizing barren plateaus in quantum ansätze with the adjoint representation
Nature Communications · 2024
- Parameter Setting in Quantum Approximate Optimization of Weighted Problems
Quantum · 2024
- Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era
2024
- Invited: Challenges and Opportunities of Quantum Optimization in Finance
2024
- Prospects of Privacy Advantage in Quantum Machine Learning
arXiv (Cornell University) · 2024
- Quantum option pricing via the Karhunen-Loève expansion
arXiv (Cornell University) · 2024
- Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era
arXiv (Cornell University) · 2024
- The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansätze
arXiv (Cornell University) · 2023
- Expressive variational quantum circuits provide inherent privacy in federated learning
arXiv (Cornell University) · 2023
- Parameter Setting in Quantum Approximate Optimization of Weighted Problems
arXiv (Cornell University) · 2023
- arXiv (Cornell University)×10
- Chemical Society Reviews×1
- Nature×1
- Nature Communications×1
- Quantum×1
- Raja Selvarajan
Computer Science · Purdue University West Lafayette
- Manas Sajjan
Computer Science · Purdue University West Lafayette
- Yuchen Wang
Computer Science · Purdue University West Lafayette
- Kaifeng Bu
Computer Science · The Ohio State University
- Amandeep Singh Bhatia
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile