Quantum Signal Processing Decomposition
This package implements Jeongwan Haah's algorithm for quantum signal processing as described in this paper. It includes a step by step algorithm that decomposes periodic functions (often from quantum signal processing) into a product of primitive matrices, represented as a list of angles. The algorithmic complexity is O(N3 polylog(N/𝜺)) where N is the degree of the periodic function and 𝜺 is the precision parameter. The runtime bottleneck is a polynomial rootfinding in step 2. Haah concludes that the error is at most the error input (=15𝜺). DISCLAIMER: This is in initial investigation stages, and the usage is subject to change.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size qspd-1.0.1-py3-none-any.whl (27.4 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size qspd-1.0.1.tar.gz (18.8 kB)||File type Source||Python version None||Upload date||Hashes View|