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Master's Thesis - Adaptation of the HHL algorithm for unitary inversion

This repository contains all code used in my master's thesis on black box unitary inversion through an adapted HHL algorithm.

adapted_HHL.ipynb

contains all scripts directly related to the algorithm, its preprocessing and analysis

Declaration defines all necessary matrices, vectors and constants

Main Algorithm runs the adapted HHL algorithm without error mitigaion

QCL-QPE runs the phase estimation of the preprocessing step

Post Selection performs the calssical selection of eigenseries

f_l(p) calculates the maximum error to a given series length

Series Prob calculates the probability of finding eigenseries under given circumstances

Haar_measure.ipynb

contains all procedures related to generation of random unitary matrices

bad samples allows for generation of unitary matrices through uniformly sampling parameters

Haar samples generates unitary matrices through Haar measure

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