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Simple machine learning techniques can cut costs for quantum error mitigation while maintaining accuracy
Quantum computers have the potential of outperforming classical computers in some optimization and data processing tasks. However, quantum systems are also more sensitive to noise and thus prone to ...
In-context learning has the potential to revolutionize how machines acquire knowledge—enabling them to adapt, reason, and ...
The creative new approach could lead to more energy-efficient machine-learning hardware. On a table in his lab at the University of Pennsylvania, physicist Sam Dillavou has connected an array of ...
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