CV

Ph.D. candidate in Computer Engineering at NC State University, specializing in quantum error mitigation, correction, and machine learning.

Contact Information

Name Hrushikesh Pramod Patil
Professional Title Ph.D. Candidate, Quantum Computing
Email hpatil2@ncsu.edu
Location , Raleigh, North Carolina

Professional Summary

Ph.D. candidate in Computer Engineering specializing in quantum information science, with expertise in quantum algorithms and applications, quantum error correction, mitigation and machine learning. Skilled in Python and C++, high-performance numerical simulation, and object-oriented software development for quantum and hybrid quantum-classical workflows.

Experience

  • 2025 - 2025

    Menlo Park, CA

    Quantum Benchmarking Intern
    SRI
    Developed the Quantum Reinforcement Learning benchmark for the QED-C Application Oriented Benchmark suite.
    • Demonstrated the need for co-development of high performance computing (HPC) and quantum computing control systems stacks for hybrid algorithms.
    • Collaborated on methods to benchmark dynamic (mid-circuit measurement) circuits and applications. Pre-print available.
  • 2024 - 2024

    Los Alamos, NM

    Fellowship Student
    Los Alamos National Laboratory
    • Collaborated on QAOA-based Quantum Linear System Problem warm-start optimizations on JuliQAOA.
    • Reduced runtime of QAOA Quantum Linear System Problem by 33% by instrumenting warm-started global optimization.

Education

  • 2021 - 2026

    Raleigh, NC

    Ph.D.
    North Carolina State University
    Computer Engineering, Specialization in Quantum Computing
    • Expected May 2026.
  • 2019 - 2021

    Stony Brook, NY

    M.S.
    Stony Brook University
    Electrical Engineering
  • 2014 - 2018

    Pune, India

    B.E.
    Pune Institute of Computer Technology
    Electronics and Telecommunications

Research Experience

Publications

  • 2025
    Q-Cluster: Quantum Error Mitigation Through Noise-Aware Unsupervised Learning
    IEEE International Conference on Quantum Computing and Engineering (QCE)
  • 2025
    Benchmarking Fidelity Metrics of Quantum Computers
    IEEE International Conference on Quantum Computing and Engineering (QCE)
  • 2025
    Platform-Agnostic Modular Architecture for Quantum Benchmarking
    arXiv
  • 2024
    Qubit-Wise Majority Vote: Maximum Likelihood Quantum Error Mitigation for Algorithms with a Single Correct Output
    IEEE International Conference on Quantum Computing and Engineering (QCE)
  • 2023
    Enhancing Virtual Distillation with Circuit Cutting for Quantum Error Mitigation
    IEEE International Conference on Computer Design (ICCD)
  • 2023
    Folding-Free ZNE: A Comprehensive Quantum Zero-Noise Extrapolation Approach for Mitigating Depolarizing and Decoherence Noise
    IEEE International Conference on Quantum Computing and Engineering (QCE)
  • 2022
    Variational Quantum Linear Solver with a Dynamic Ansatz
    Physical Review A

Projects

  • Implementing Steane Code and Quantum Reed-Muller Code in Deltakit

    Extending the CSS code framework for the Steane code and qRM code as part of an open-source contribution at NCSU.

    • Code in progress: github.com/Deltakit/deltakit/issues/132
  • Quantum Kernel Methods for Graph-Structured Data

    Implemented a Quantum Evolving Kernel for graph classification in drug discovery for neutral-atom qubit arrays. Winner, QHack 2023 Amazon Braket Challenge.

    • Utilized CAFQA initialization for accelerated convergence.
    • Featured on the AWS blog.
  • CUDA Implementation of Quantum Gates

    Simulated quantum gates using CUDA as a course project at NCSU.

    • Observed 5x performance improvement using cudaMalloc/cudaMemcpy versus cudaMallocManaged.
    • Code: github.com/hrushikesh890/Cuda_Quantum_Gate
  • Acceleration of LRCN Networks Using FPGA

    Achieved 8x acceleration of LRCN networks via firmware development on the miniZed FPGA as a course project at Stony Brook University.

    • Designed the hardware and software algorithm to accelerate the LSTM part of the LRCN network.

Skills

Languages (): Python, C, C++, Julia, CUDA
Libraries & Tools (): Qiskit, Cirq, Stim, PennyLane, Mitiq, CUDA-Q, NumPy, JAX, PyTorch, OpenMP, Git, matplotlib, GPGPUSim, LSF
Expertise (): Quantum Error Correction, Quantum Error Mitigation, Error Characterization, Variational Quantum Algorithms, Circuit Cutting and Knitting, GPU Programming and Architecture, Parallel Programming, High Performance Computing, Operating Systems, CV-DV Quantum Systems

Activities

References

  • Dr. Huiyang Zhou

    hzhou@ncsu.edu

  • Dr. Dror Baron

    dzbaron@ncsu.edu

  • Dr. Siyuan Niu

    siyuan.niu@ucf.edu

  • Dr. Manas Sajjan

    msajjan@ncsu.edu