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Tensor Network Hackathon

This is the repository for Quantum TEA Tensor Network Hackathon 2024.

Topics

  1. Multi-exciton generation in molecular semiconductors via singlet fission (here)
  2. Tensor network machine learning (here)
  3. Tensor Renormalization Group Algorithm (here)
  4. Parallel scaling of tensor networks (here)
  5. Solving MaxCut with imaginary time evolution (here)
  6. Solving MaxCut with simulated quantum annealing (here)
  7. Data compression with quantum Fourier transform (here)
  8. Optimization with tensor networks – The Knapsack Problem (here)
  9. Optimizing Camera Placement for Emergency Prevention and Response (here)

You can find the materials for every topic inside the corresponding folder.

General information

Here find the materials for Quantum TEA Leaves introduction.

  • If you install python packages locally on your machine, we recommend using a pip environment, which can isolate the installed packages for an application.
  • When Quantum TEA packages are used, the examples in the folders are designed for qtealeaves v1.1.x and qmatchatea v1.1.x which are the ones available via pip install (status May 2024).

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Repository with the materials for the Tensor Network Hackathon at University of Padova

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  • Jupyter Notebook 90.1%
  • Python 9.9%