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  • Massachusetts Institute of Technology
  • Cambridge, USA

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  1. Programmable-Quantum-Matter Programmable-Quantum-Matter Public

    Codes for our paper: "Programmable Quantum Matter: Heralding Large Cluster States in Driven Inhomogeneous Spin Ensembles"

    Jupyter Notebook 2

  2. panand2257/Benchmarking_PDEs panand2257/Benchmarking_PDEs Public

    This is a final project for the course offered by MIT - Deep Learning (6.7960)

    Jupyter Notebook 1

  3. Bayesian-Inference---Mie-scattering Bayesian-Inference---Mie-scattering Public

    Minimal forward–inverse testbed using analytical Mie scattering as a controllable physics model. Enables fast prototyping of Bayesian inference, surrogate modeling, and hierarchical priors for geom…

    Python 1