Dheeraj Peddireddy
Computer Science · Purdue University West Lafayette
Publications
27
Citations
160
Est. group size
~1
Recurring co-author estimate
Active years
7
Publishing since 2020
This researcher works on quantum computing methods, especially variational quantum algorithms (techniques for optimization and simulation on near-term quantum computers) and their efficient classical simulation using tensor networks (compressed mathematical representations of quantum states). Related work also covers reinforcement learning for quantum circuit design, Gaussian process bandits (a decision-making framework for sequential experimentation), and combinatorial optimization problems such as vehicle routing. The publication record spans both quantum algorithm development and classical machine learning theory topics.
Publication output has been irregular over the past decade, with gaps in some years followed by a notable surge of activity in 2023 and again in 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- SymQNet: Amortized Acquisition for Low-Latency Adaptive Hamiltonian Learning
arXiv (Cornell University) · 2026
- Scalable Tensor Ring Methods for Variational Quantum Algorithms
Purdue · 2026
- Scalable Tensor Ring Methods for Variational Quantum Algorithms
Purdue · 2026
- Arc Interdiction Vehicle Routing Problem Using Quantum Annealing
Communications in computer and information science · 2026
- SymQNet: Amortized Acquisition for Low-Latency Adaptive Hamiltonian Learning
arXiv (Cornell University) · 2026
- Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing
arXiv (Cornell University) · 2026
- Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing
arXiv (Cornell University) · 2026
- TREV: Python Library for Efficient Implementations of Variational Quantum Algorithms for Optimization using Tensor Networks
ACM Transactions on Quantum Computing · 2026
- Accelerating Tensor Ring VQE with Batched Contraction
Communications in computer and information science · 2026
- Classical simulation of variational quantum classifiers using tensor rings
Applied Soft Computing · 2023
- Noisy tensor-ring approximation for computing gradients of a variational quantum eigensolver for combinatorial optimization
Physical review. A/Physical review, A · 2023
- Regret and Belief Complexity Tradeoff in Gaussian Process Bandits via Information Thresholding
IEEE Transactions on Artificial Intelligence · 2023
- Noisy Tensor Ring approximation for computing gradients of Variational Quantum Eigensolver for Combinatorial Optimization
arXiv (Cornell University) · 2023
- Classical Simulation of Variational Quantum Classifiers using Tensor Rings
arXiv (Cornell University) · 2022
- Preemptive scheduling on unrelated machines with fractional precedence constraints
Journal of Parallel and Distributed Computing · 2021
- arXiv (Cornell University)×10
- Purdue×2
- Communications in computer and information science×2
- Journal of Manufacturing Processes×1
- Manufacturing Letters×1
- Shawn X. Cui
Computer Science · Purdue University West Lafayette
- Mandeep Kaur Saggi
Computer Science · Purdue University West Lafayette
- Manas Sajjan
Computer Science · Purdue University West Lafayette
- Raja Selvarajan
Computer Science · Purdue University West Lafayette
- Shree Hari Sureshbabu
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