Jan 10, 2024

Towards provably efficient quantum algorithms for large-scale machine-learning models

Posted by in categories: information science, quantum physics, robotics/AI

It is still unclear whether and how quantum computing might prove useful in solving known large-scale classical machine learning problems. Here, the authors show that variants of known quantum algorithms for solving differential equations can provide an advantage in solving some instances of stochastic gradient descent dynamics.

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