Hrushikesh Pramod Patil

Ph.D. Candidate, Computer Engineering, North Carolina State University

prof_pic.jpg

Raleigh, NC

hpatil2@ncsu.edu

I am a Ph.D. candidate in Computer Engineering at North Carolina State University, specializing in quantum computing. My research focuses on quantum error mitigation, quantum error correction and characterization, and quantum machine learning, with the broader goal of making near-term and early fault-tolerant quantum computation more reliable.

I hold an M.S. in Electrical Engineering from Stony Brook University, where I worked on variational quantum linear solvers, and a B.E. in Electronics and Telecommunications from the Pune Institute of Computer Technology, Pune, India.

My work combines high-performance numerical simulation, GPU-accelerated computing, and object-oriented software development for hybrid quantum–classical workflows. I’ve had the opportunity to intern at SRI working on quantum reinforcement learning benchmarks, and as a Fellowship Student at Los Alamos National Laboratory, where I worked on QAOA-based warm-start optimizations for the Quantum Linear System Problem.

Outside of research, I enjoy mentoring high school and undergraduate students, reading science fiction and fantasy, and traveling.

news

Aug 01, 2025 Two papers accepted at IEEE QCE 2025
Jun 01, 2025 Quantum Benchmarking Internship at SRI
Jun 01, 2024 Joined Los Alamos National Laboratory as a Fellowship Student, working on QAOA-based warm-start optimizations for the Quantum Linear System Problem on JuliQAOA.

selected publications

  1. arXiv
    Efficient Magic State Factory Via Transversal Non-Clifford Gate
    I-Chi Chen, Hrushikesh P. Patil, Huiyang Zhou, and 1 more author
    arXiv preprint arXiv:2606.16199, 2026
  2. QCE
    Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning
    Hrushikesh P. Patil, Dror Baron, and Huiyang Zhou
    In 2025 IEEE International Conference on Quantum Computing and Engineering (QCE), 2025
  3. PRA
    Variational Quantum Linear Solver with a Dynamic Ansatz
    Hrushikesh P. Patil, Y. Wang, and Predrag S. Krstić
    Physical Review A, 2022