Numerical methods for the simulation of quantum walks and quantum annealing
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...
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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Aug 13, 2026
Mathematics
Mathematics
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