Dhanvi Bharadwaj

PhD student working on Quantum Computing Architecture

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Hello! 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

Hobbies & Interests

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