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Research PaperResearchia:202608.13024

Numerical methods for the simulation of quantum walks and quantum annealing

Asa Hopkins

Abstract

It is known that Chebyshev based polynomial approximation gives a near-optimal rate of convergence for calculating a function of a Hermitian matrix. However, previous work has not discussed the option of true minimax approximation, nor the specifics of writing a high performance implementation with a rigorous analysis of errors. This work provides such an analysis and an open-source implementation of three approximation methods in C++. --- Source: arXiv:2608.12058v1 - http://arxiv.org/abs/2608.1...

Submitted: August 13, 2026Subjects: Mathematics; Mathematics

Description / Details

It is known that Chebyshev based polynomial approximation gives a near-optimal rate of convergence for calculating a function of a Hermitian matrix. However, previous work has not discussed the option of true minimax approximation, nor the specifics of writing a high performance implementation with a rigorous analysis of errors. This work provides such an analysis and an open-source implementation of three approximation methods in C++.


Source: arXiv:2608.12058v1 - http://arxiv.org/abs/2608.12058v1 PDF: https://arxiv.org/pdf/2608.12058v1 Original Link: http://arxiv.org/abs/2608.12058v1

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Date:
Aug 13, 2026
Topic:
Mathematics
Area:
Mathematics
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