Skip to content
View lm1909's full-sized avatar
🤔
🤔
  • Munich, Germany

Highlights

  • Pro
Block or Report

Block or report lm1909

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. dotfiles dotfiles Public

    my dotfiles, managed by the technique from atlassian.com/git/tutorials/dotfiles (.cfg -> .dotfiles, config -> dotfiles)

    Shell

  2. numerical-noisy-qfi-vqa numerical-noisy-qfi-vqa Public

    Dissertation for MSc Mathematical and Theoretical Physics at Oxford University: 'Numerical Analysis of Variational Quantum Optimisation Using the Natural Gradient/QFI Technique'

    Mathematica 1

  3. RBM_compphysics RBM_compphysics Public

    Slides for the presentation "Restricted Boltzmann machines" for the seminar "Computational physics (focus: machine learning)" at LMU Munich.

  4. webchess webchess Public

    Haskell project for the course "fortgeschrittene funktionale Programmierung" @ LMU Munich

    Haskell

  5. QuESTLink ParallelTable fix QuESTLink ParallelTable fix
    1
    When using vanilla [QuESTLink](https://questlink.qtechtheory.org/) in Mathematica the parallel Mathematica capabilities do not work, as there is only one quest instance in the background.
    2
    
                  
    3
    This can be solved by initialising with the idea from [this stackexchange answer](https://mathematica.stackexchange.com/a/131858/75779):
    4
    
                  
    5
    ```Mathematica
  6. QiskitPulseRL QiskitPulseRL Public

    Forked from kevinab107/QiskitPulseRL

    Submission for the Qiskit Fall Fest Munich Quantum Hackathon: Reinforcement Learning for Quantum Optimum Control with Qiskit and Tensorflow

    Python