🎓 Many thanks to my wonderful collaborators Aroosa, Cinthia, Fred, @LCincio, and @MvsCerezo. This was my first paper as senior (last) author, so it's an exciting milestone in my scientific career!
⚛️ By careful analytic study of error bounds and numerical simulation of noisy quantum sensors, we find that the cost of zero-noise extrapolation outweighs its benefits, and that pre-characterizing a quantum sensor with inference-based techniques leads to improved performance.
🎯 When performing a measurement with a quantum sensor, every shot counts. Naively, one might hope to overcome the effects of noise using e.g. error mitigation.
🫰However, we must be careful that any shot not directly used for sensing actually gives a metrological improvement.
Our work on error mitigation and learning-based inference techniques in quantum sensing has now been published in Materials Today Quantum! 🥳
www.sciencedirect.com/science/arti...
Our work on algorithmic shadow spectroscopy has just been published in PRX Quantum! A huge thanks to my wonderful collaborators Hans, Richard, and Bálint.
journals.aps.org/prxquantum/a...
Today I submitted my PhD thesis! 🎓⚛️
A photograph of me (Matt Goh) presenting a talk at the front of a lecture theatre. A title slide is present behind me, reading "g-sim: Lie-algebraic classical simulations for variational quantum computing".
It was a pleasure to present the second talk of Quantum Techniques in Machine Learning 2024 last week, kicking off a thought-provoking week discussing the latest developments and future directions in #QML. Huge thank you to the organizers, speakers and attendees who made it an amazing conference!
🚨Applications for LANL's 2025 Quantum Computing Summer School are open!
Please apply here
👇
lanl-summer-school-programs.wizehive.app/program/quan...
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#QTML2025 Announced for Singapore!
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