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quant-ph2024
Quantum spectral method for gradient and Hessian estimation
Yuxin Zhang, Changpeng Shao
Gradient descent is one of the most basic algorithms for solving continuous optimization problems. In [Jordan, PRL, 95(5):050501, 2005], Jordan proposed the first quantum algorithm…
quant-ph2024★ 1 cited
Lower bounds for quantum-inspired classical algorithms via communication complexity
Nikhil S. Mande, Changpeng Shao
Quantum-inspired classical algorithms provide us with a new way to understand the computational power of quantum computers for practically-relevant problems, especially in machine…