Researchers have developed a new 46-dimensional representation of particle collision data, named RMM-C46, which compresses complex information while maintaining accuracy and compatibility with emerging quantum computing technologies.
Read the full article at: https://quantumzeitgeist.com/machine-learning-gains-data-compression-technique/In the News
Infleqtion, using Saffman Group tech, becomes first neutral atom quantum computing company to be publicly traded
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https://infleqtion.com/infleqtion-becomes-first-neutral-atom-quantum-company-to-go-public/
The Wonders of Physics video contest winners featured in the Daily Jefferson County Union
Bergmann group’s cultural heritage work featured in NBC Bay Area news
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https://www.nbcbayarea.com/news/local/menlo-park-laboratory-uncovers-ancient-stars-map/4018212/
Who was Amelia Frank? UW physics alum featured in The Conversation as a “forgotten physicist”
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https://theconversation.com/who-was-amelia-frank-the-life-of-a-forgotten-physicist-270953
Uwe Bergmann in Symmetry article on using photons to observe nature
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https://www.symmetrymagazine.org/article/photons-light-the-way
Dan Hooper interviewed on “How to be Anything” podcast
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https://podcasts.apple.com/us/podcast/how-to-be-anything/id1823252850?i=1000721819442
Physics-informed Neural Networks Enable High-Fidelity Quantum Gate Design Using Optimal Control
Researchers successfully employ physics-informed neural networks to design high-fidelity pulses for controlling quantum operations, demonstrating a flexible and robust method for optimising two-qubit gate performance.
Read the full article at: https://quantumzeitgeist.com/neural-fidelity-quantum-networks-physics-informed-enable-high-gate-optimal-control/Nobel Prize in Physics has ties to UW–Madison-incubated company
Read the full article at:
https://apnews.com/article/nobel-prize-physics-e74ee2acf652259cf268cc1d48873e14