New algorithm boosts multitasking in quantum machine learning
When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a team has created an algorithm capable of optimizing multiple targets at once, effectively enabling a quantum machine to multitask.
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When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a team has created an algorithm capable of optimizing multiple targets at once, effectively enabling a quantum machine to multitask.
