Using workflows in QC – how good software engineering helps in doing science.

Webinar Abstract:
:
In this talk I’ll talk about different challenges that people working in computational sciences (especially QC) face and how we can use good software engineering practices and tools to help ourselves. In particular, I’ll talk about how workflow systems give experiments flexibility, scalability and repeatability so you can accelerate your research. These principles underlie the software design choices we made at Zapata while creating Orquestra.

Bio:

Michał Stęchły
Michal Stechly has background in physics, machine learning and broadly defined engineering. Professionally, he has merged these skills to bridge the gap between research and software engineering. His main interests in quantum computing are variational algorithms, optimization and near-term applications.
He works as a Quantum Software Engineer at the Toronto office of Zapata Computing and is a core team member of Quantum Open Source Foundation and Q4Climate initiative. He also is an author of a blog Musty Thoughts, where he shares his knowledge and experience about QC.

Zoom link
https://us02web.zoom.us/j/87402841971?pwd=dWREK2RZOVFFcTFYZ0pRVVRSUGs0dz09