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General Information
Full Name | Dhanvi Bharadwaj |
Interests | Quantum circuit simulation, Quantum-HPC hybrid systems, Tensor Networks, Error Mitigation, Compilers |
Languages | Python, C++, Cython, Julia, SystemVerilog |
Tools | Qiskit, Pennylane, cuQuantum, PyTorch, NumPy, CuPy, Pybind11, LLVM |
Education
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2024-Present PhD, Computer Science
University of Michigan - Ann Arbor - Advisor: Dr. Gokul Ravi
- Focus: Quantum Computing Architecture
- MICDE Fellow 2024
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2020-2024 Bachelor of Science, Physics
University of Wisconsin - Madison - Cumulative GPA: 3.9/4.0
- Hilldale Research Fellow 2023
Experience
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Summer '24 Quantum Computing Software Intern
NVIDIA Math Libraries Team - Implemented the Simple Update algorithm with CuPy and C++ to optimize matrix product states, enhancing the accuracy of tensor network contractions involving 2-qubit gates and MPOs.
- Designed a preprocessing method to introduce gauge structures into user-provided MPS.
- Collaborated with Senior Engineers during team-led CUDA workshops, refining GPU programming techniques and ensuring industry-level coding standards throughout development.
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Spring '24' Software Engineer Intern
qBraid - Conducted detailed profiling and performance analysis on qBraid Lab with Quantum Volume circuits, identifying and resolving kernel bottlenecks.
- Led comprehensive benchmarking studies on SOTA NVIDIA GPU hardware systems, exploring the effect of depolarizing noise on density matrix-based simulation techniques.
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Summer '23 Quantum Machine Learning Intern
Oak Ridge National Laboratory - Developed and implemented Quantum Machine Learning models using Pennylane and Qiskit frameworks, focusing on 2-6 qubits to assess predictive capabilities on highly multivariate and non-linear datasets.
- Optimized fidelity and cross-entropy loss methods for our models, to reduce loss function values by an average of 20%.
- Utilized state-of-the-art techniques such as data re-uploading to solve limitations posed by the no-cloning theorem and enhance the performance of our quantum models by 30%.
- Implemented and refined quantum circuit architectures such as SU(4) and IsingZZ coupling for multiclass classification tasks on imbalanced datasets.
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2020-2024 Undergraduate Research Assistant
Thevamaran Lab , UW-Madison - Utilized Python to implement computational techniques to correct strain-overshoot in viscoelastic relaxation experiments, to help improve the accuracy of dynamic moduli calculations.
- Collaborated with researchers to execute data analysis using SciPy that identified an opportunity to reduce noise from resonance effect.
- Investigated the viscoelastic properties of vertically aligned carbon nanotubes (VACNT) across broad frequency and amplitude ranges using dynamic mechanical analyzer.
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2023-2024 Quantum Software Lead
Wisconsin Quantum Computing Club - Led a team of 5 students to organize the inaugural IBM Qiskit Fall Fest at UW-Madison consisting of Workshops, Tutorials, and a Hackathon.
- Developed interactive workshops for 80+ students in Quantum Simulations and Error-Correction.
- Taught introductory topics related to quantum computing and linear algebra.
- Organized career talks for students with leading experts in quantum computing from industry and academia.
Open Source Contributions
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2024 qiskit-research
- Expanded pauli twirling functionality in IBM Qiskit's research library by adding gate-set generation support and modularizing code for scalability.
- Implemented comprehensive tests to ensure robustness and validate new two-qubit gate features.
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2023 TorchQuantum
- Implemented 15 unsupported quantum gates to expand the functionality of the PyTorch-based framework for fast GPU-supported circuit simulations.
- Integrated various quantum circuits and template layers to improve library's versatility at unitaryHack 2023.
Awards and Fellowships
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2024 - MICDE Fellowship for research in HPC+X fields
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2023 - Hilldale Undergraduate Research Fellowship
Hobbies & Interests
- Photography & Cinematography (Lightroom is my all-time favorite piece of software)
- Sand Volleyball (My postgrad hobby pick)
- I like listening to music. Check out my Spotify here!
- Traveling (I've explored 17 countries and counting)