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Sinestro38/README.md

Hey there 👋, I'm Pavan.

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Now

  • 🧑‍💻 Research engineer building ML research infra at Stealth
  • 🔧 Working on a mentorship project integrating Nvidia GPU compability into TensorFlow Quantum
  • 🏫 Learning as an undergrad at the University of Waterloo for computer engineering (on gap)

Recent

  • 🧑‍💻 Developed performant C++ kernels for AI inference as a Software Engineer Intern @UntetherAI
  • ⛏️ Investigated applications of neutral atom quantum computing as a research intern @IQC
  • ⚛ Competed at QHack 2022 placing in the Top 8 teams for a project on quantum graph neural networks
  • ✍ Authored the section on QGANs for the IBM Qiskit Textbook on quantum machine learning as a Qiskit Advocate
  • ⚡ Investigated quantum generative models as a quantum AI intern at Zapata Computing
  • ⚙ Built various quantum generative adversarial networks as part of a 3-month long project in the QOSF mentorship program
  • 🏨 Built several projects in the QC/QML space—check them out below :)

Pinned Loading

  1. QHack-2022-Hackathon QHack-2022-Hackathon Public

    Forked from amirebrahimi/QHack-2022-Hackathon

    Team 'The_Superpositioned_States_of_America' QHack Hackathon submission

    Jupyter Notebook 1

  2. qosf-qgan qosf-qgan Public

    Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using Pennylane.

    Jupyter Notebook 24 12

  3. quantum-portfolio-optimisation quantum-portfolio-optimisation Public

    Forked from calumholker/quantum-portfolio-optimisation

    Using qGANs for Quantum Portfolio Optimisation

    Jupyter Notebook 4 3

  4. bose_hubbard bose_hubbard Public

    Simulating time evolution of a chain of 7 bosons under the Bose-Hubbard Hamiltonian

    Jupyter Notebook 1