Erasing Quantum Memories: A New Approach to Machine Unlearning

Researchers have developed a method for selectively removing data from quantum machine learning models without compromising overall performance.

Researchers have developed a method for selectively removing data from quantum machine learning models without compromising overall performance.

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New research delves into the existence and properties of complex solutions to the Schrödinger equation when faced with time-delayed potentials, expanding the possibilities for modeling quantum systems.