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Aalto University Team Develops Machine-Learning Optimized Pulses For Dark Matter Searches
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Aalto University Team Develops Machine-Learning Optimized Pulses For Dark Matter Searches
Detecting faint whispers from dark matter just became more sensitive, achieving a kinetic mixing angle of $1\times10^{-14}$ at 5. 051GHz. This advance overcomes limitations in qubit control by employing machine-learning optimised pulses, enabling single-photon detection despite reduced sensor lifetimes.
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