Author Archives: Eliska
Machine learning blog at ETH
The interest in possible applications of machine learning in physics has been growing exponentially for a while now and there seems to be a sea of literature. Couple of months ago we decided to review the literature and have weekly seminar about the papers we found interesting. There is a dedicated blog post forContinue reading “Machine learning blog at ETH”
Mount Rigi
A Book That Everyone Should Read: Naomi Alderman
I can’t even begin to describe the impact that reading The Power by Naomi Alderman had on me (and I am sure I am not alone). I would even go as far as to predict that this book will become a classic that will keep on being discussed for many decades. The main premise isContinue reading “A Book That Everyone Should Read: Naomi Alderman”
2017 in Books
For me 2017 was all about reading bit out of my comfort zone and expanding my genre horizons. Even though it was fun and I found some delightful books, I am looking forward to go back to my line-up of contemporary fiction in 2018. The most remarkable fiction I read last year was definitely PaulContinue reading “2017 in Books”
New paradigm for parameter estimation
In our latest work, now on arXiv, we show how to use a convolutional neural network to extract physical parameters (even the quantum ones!) from experimental currents. In my PhD I was generally concerned with monitoring and parameter estimation of quantum systems. These elements are crucial for efficiently functioning quantum devices, and, in difference fromContinue reading “New paradigm for parameter estimation”
Taking tunnelling and precession for a spin
I am happy to announce, that our paper “Conditioned spin and charge dynamics of a single-electron quantum dot” (I discussed it here) have been chosen as Editors’ Suggestion in Physical Review A.
Exporting histograms from TensorFlow
Lately I have been working a lot with Google’s TensorFlow library for machine learning. It has a really nice tool for data visualisation, TensorBoard, which can be very useful to understand how the training and evaluation of your model is working. One small bottleneck though is that it has a built-in tool for data exportContinue reading “Exporting histograms from TensorFlow”
Saas-Fee
Saas-Fee is a wonderful car-free Swiss village with the proximity to a glacier and several 4000 peaks. I just took a short holiday there and here is a few pictures. If you are ever going to hike there I can especially recommend going to Spielboden and Langflüh, from where you have excellent view of theContinue reading “Saas-Fee”
A Case for Past Quantum State
Recently I finished my latest work that has been done in collaboration with my wonderful supervisor and Oxford experimental team and I would like to use this post to advertise it a bit in general terms. You can read it in full at arXiv. The past quantum state method relies on a simple assumption: since inContinue reading “A Case for Past Quantum State”
