To get an answer out of a quantum computer, you have to measure its output, and noise makes that measurement unreliable. What if, instead of fighting the noise, you… measured something else?
That is the idea behind our latest paper, “Quantum Error Mitigation at the Pre-Processing Stage”, which we just presented at the IEEE Quantum Computing and Engineering Conference (IEEE QCE) in Toronto, Canada.
The problem: quantum computers hold huge potential for solving fundamental challenges, but they suffer from “quantum noise”. Because of it, the average value of the quantity you are after (the “observable”) can differ greatly from its theoretical value.
Our approach: we show it is possible to find a different observable that compensates for the effects of noise. The correction is applied at the pre-processing stage, before the measurement is taken, rather than on the results afterwards. The improvement over state-of-the-art error mitigation techniques, in the setup we considered, is significant in both accuracy and complexity.
Acknowledgements:
This work has been funded by grants PID2022-137099NBC41 and RYC2021-033908-I through MCIN/AEI/10.13039/501100011033, FSE+ and the European Union NextGenerationEU Recovery Plan for Europe, and by grant 2021 SGR 01033 through AGAUR, Dept. de Recerca i Universitats de la Generalitat de Catalunya (10.13039/501100002809).
Published by G.Cocco
I received my M.S. degree (Cum Laude) in Telecommunications Engineering from the University of Pisa, Pisa, Italy, and my Ph.D. degree in Telecommunications Engineering from the Polytechnic University of Catalonia (UPC), Barcelona, Spain. My Ph.D. studies were co-funded by the European Space Agency (ESA) and the Catalan Telecommunications Technological Center (CTTC) of Barcelona. During my Ph.D. studies I spent more than a year at ESA’s European Space Research and Technology Centre (ESTEC), Noordwijk, The Netherlands, working on the application of network coding in satellite communication networks. After my Ph.D. studies I spent nearly four years at the Institute for Communications and Navigation of the German Aerospace Center (DLR), near Munich, Germany, working as Senior Researcher and Project Manager. There I have been managing and working as researcher on projects funded by ESA, the European Union, and the German state. Between 2017 and 2019 I was with the Laboratory of Intelligent Systems (robotics) and with the LTS4 Signal Processing Laboratory of the École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, as a Marie Skłodowska-Curie Individual Fellow funded by the European Commission. While at EPFL I worked on UAV communications, focusing on delay-constrained video compression and streaming. Since 2019, after being awarded the Beatriu de Pinos grant by the Catalan Government, I am with the Information Theory and Coding group of Pompeu Fabra University (UPF), Barcelona, Spain. Here I am focusing on the fundamental limits of reliable communications, video streaming and UAV communications.
I published a number of international peer reviewed journals and conference papers, one book, one book chapter and I hold three patents.
I mentored several among Ph.D., M.S. and B.A. students, I served twice as member of Ph.D. evaluation committees and I have been session chair at several IEEE-funded international conferences.
I have been teaching assistant for EPFL "Aerial Robotics" master course (UAV communications, regulations for UAVs) and for the "Basics of Mobile Robotics" master course.
My research interests lie in the fields of satellite communications, UAV communications, video streaming, information theory, interference management, IoT, and robotics
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