Reading Club session 12 November 2020

We looked at a classical quantum-inspired algorithm by Erwin Tang in “A quantum-inspired classical algorithm for recommendation systems” and an associated follow up paper by Arrazola et alia “Quantum-inspired algorithms in practice.” This algorithm uses clever sampling techniques to approximate solutions for linear equations of the form Ax = b where x is unknown, essentially what the HHL algorithm does. Each have their strengths and weaknesses which the second paper discusses in more detail.

@article{key , author = {Arthur B Cummings and David Eftekhary and Frank G House}, title = {The accurate determination of college students’ coefficients of friction}, journal = {Journal of Sketchy Physics}, volume = {13}, year = {2003}, number = {2}, pages = {46--129} }