PhD Student in Quantum Information @ FU Berlin. Currently Visitor @ QMATH, Copenhagen. Imprint found on my website.
May 13, 2022 • 35 tweets • 9 min read
Exploiting symmetries resulted in major breakthroughs in classical machine learning 🤖 In our new work, we outline how and when you can exploit them in variational quantum machine learning, too: scirate.com/arxiv/2205.062…
A walkthrough 🧵
An example of a symmetry encountered in learning tasks is that the fact that an image shows a cat does not change if we shift the pixels of the image to the right or rotate the image. This is information about the underlying problem that we would like to build into our models.
Mar 8, 2022 • 23 tweets • 6 min read
If you did some quantum info research, you have probably heard about semidefinite programs (SDPs). I recently started to use them and wanted to share with you what I learned so far!
Long🧵👇
SDPs concern optimizations over positive semidefinite (PSD) matrices. A matrix A is PSD if it is Hermitian – which guarantees eigenvalues are real – and if all those eigenvalues are non-negative. We write this as A ≥ 0.
Jun 13, 2020 • 14 tweets • 6 min read
Proud to share my first paper in collaboration with J. Borregaard and @jenseisert. We provide a variational quantum algorithm for the optimization of noisy quantum multi-parameter estimation. scirate.com/arxiv/2006.063…
This work provides a new application of quantum technologies (both computers and other platforms) to optimize the next generation of quantum metrology devices. This mindset was recently coined as "quantum-computer aided design" by @A_Aspuru_Guzik et al.
