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On nonlinear transformations in quantum computation
[article]
2023
arXiv
pre-print
While quantum computers are naturally well-suited to implementing linear operations, it is less clear how to implement nonlinear operations on quantum computers. However, nonlinear subroutines may prove key to a range of applications of quantum computing from solving nonlinear equations to data processing and quantum machine learning. Here we develop a series of basic subroutines for implementing nonlinear transformations of input quantum states. Our algorithms are framed around the concept of
arXiv:2112.12307v2
fatcat:6gw4tgwiybffzln76366sufkwq