Dhanvi Bharadwaj

PhD student working on Quantum Computing Architecture

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I'm a 2nd-year PhD student in CSE @ University of Michigan, advised by Dr. Gokul Ravi! My research combines Quantum Computing and High-Performance Computing (HPC) to push towards practical quantum advantage. I'm also a MICDE graduate fellow (2024 cohort).

I spent Summer 2024 at NVIDIA, where I worked on accelerating tensor network simulations for cuQuantum. Previously, I interned at the startup qBraid, profiling quantum circuits and benchmarking GPU-based simulations, and at Oak Ridge National Laboratory, developing quantum machine learning models and hardware-efficient circuits for complex datasets.

    Interests

  • Fault-tolerant Architectures
  • Quantum Algorithms
  • High Performance Computing

    Education

  • PhD in Computer Science
    University of Michigan, 2024-Present
  • BS in Physics + Data Science (Minor)
    UW-Madison, 2020-2024

Email: dhanvib [at] umich [dot] edu


Selected Publications

  1.  

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    Characterizing Quantum Classifier Utility in Natural Language Processing Workflows
    Kathleen Hamilton, John Gounley, Dhanvi Bharadwaj, and 5 more authors
    In IEEE International Conference on Quantum Computing and Engineering (QCE), Sept. 2023

Talks

  1.  

    Mar 21, 2025
    Indiana University Indianapolis
    Designing hybrid systems to achieve quantum advantage

     

    Dec 13, 2024
    Quantum Student Lunch Seminar @ University of Michigan
    Overview of Clifford Simulation and Stabilizer Formalism for Quantum Circuits

Hobbies & Interests

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