2.5k citations · 12.5k across the 36 of their papers we have counts for
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quant-ph2016
Quantum gradient descent and Newton's method for constrained polynomial optimization
Patrick Rebentrost, Maria Schuld, Leonard Wossnig +2
Optimization problems in disciplines such as machine learning are commonly solved with iterative methods. Gradient descent algorithms find local minima by moving along the directio…
quant-ph2016★ 284 cited
Prediction by linear regression on a quantum computer
Maria Schuld, Ilya Sinayskiy, Francesco Petruccione
We give an algorithm for prediction on a quantum computer which is based on a linear regression model with least squares optimisation. Opposed to related previous contributions suf…