I enjoy participating in outreach activities and try to communicate about my research in layman’s terms whenever possible. You’ll find links to articles I wrote on (or related to) my research below, as well as more technical repositories containing code for physics simulations.

Quantum games

What is better than the well-known game Tic-Tac-Toe? How about Tic-Tac-Toe with quantum physics! You’ll learn quantum concepts by playing a fun game, and can test you skills against an AI. Check out quantum Tiq-Taq-Toe on your mobile phone:

Also, be sure to have a look at the accompanying website: quantumtictactoe.com

I gave a public lecture about Quantum Games at Caltech for the STEM summer lecture series. I would be happy to speak at other public events! Please contact me for availability.

HamiltoniArt

Quantum systems of particles hopping around on a lattice are often associated with a “Hamiltonian”, which describes the rules of which particles can hop where (and how much energy that costs). Those Hamiltonians can be visualized as a square image (a matrix), and that’s exactly how I turned them into SciArt (Science-Art). These now decorate the halls of the Bridge building at Caltech!

Popular articles

Here’s a link to a blog-post on the Quantum Frontiers blog by the IQIM at Caltech. It describes how I machine learned the condensed matter arXiv for creating an ‘oracle’ that you can ask questions like: ‘particle + charge = ?’

Here’s an article (in Dutch) about some of my work on using Machine Learning methods in Condensed Matter Physics. It was published in the Dutch version (Nederlands Tijdschrift voor Natuurkunde) of the Dutch Journal of Physics.

Git Repositories

Over the years I’ve implemented a bunch of different (physics) algorithms. Most notably one dealing with simulation of Lindblad equations for open systems using Matrix Product States (TEBD/DMRG). For a paper together with Mark Fischer, we added some extra features that can be found in his repository here.

If you’re interested in a time-evolution algorithm based on Krylov subspaces in C++, see here. We used it to simulate the dynamics of a spin-chain of 24 sites in this work.