aiqbench analysis
This paper introduces a novel quantum algorithm for the non-uniform Chebyshev transform by eliminating conditioning errors inherent in previous non-uniform node sampling methods. By leveraging an improved Non-uniform Quantum Fourier Transform (NUQFT), the approach achieves error bounds independent of geometry-dependent parameters while providing explicit oracle constructions and full complexity analysis. The work represents a significant algorithmic advancement for quantum signal processing, offering more robust block encodings with optimized qubit and gate counts.
Conditioning-Free Non-Uniform Quantum Fourier and Chebyshev Transforms
arXiv:2609.40277v1 Announce Type: new Abstract: We present an efficient quantum algorithm for the non-uniform Chebyshev transform. It is defined as the projection of a function onto Chebyshev polynomials sampled at given nodes that are uniform in $x\in[-1,1]$, and hence non-uniform in the angle $\theta=\arccos x$, a setting that QFT-based quantum Chebyshev transforms cannot handle. Our construction is based on an improvement of an existing Non-uniform Quantum Fourier Transform (NUQFT) whereby we remove the conditioning from non-uniform node sampling. Hence, error bounds are independent of the geometry-dependent parameter $\kappa$ of prior work. We use the fact that Chebyshev transform matrix is the average of two Type-II non-uniform DFTs, which we implement with a single controlled NUQFT circuit. We provide explicit oracle constructions, including the row-access oracle previously left as an assumption. The resulting $\varepsilon$-accurate block encoding has $O(1)$ normalization and uses $O(L)$ qubits and $\widetilde O(L^2)$ gates, where $L=\log N+\log(1/\varepsilon)$. We give an end-to-end implementation with complexity analysis, including the success probability and output-state error.
Abstract:We present an efficient quantum algorithm for the non-uniform Chebyshev transform. It is defined as the projection of a function onto Chebyshev polynomials sampled at given nodes that are uniform in $x\in[-1,1]$, and hence non-uniform in the angle $\theta=\arccos x$, a setting that QFT-based quantum Chebyshev transforms cannot handle. Our construction is based on an improvement of an existing Non-uniform Quantum Fourier Transform (NUQFT) whereby we remove the conditioning from non-uniform node sampling. Hence, error bounds are independent of the geometry-dependent parameter $\kappa$ of prior work. We use the fact that Chebyshev transform matrix is the average of two Type-II non-uniform DFTs, which we implement with a single controlled NUQFT circuit. We provide explicit oracle constructions, including the row-access oracle previously left as an assumption. The resulting $\varepsilon$-accurate block encoding has $O(1)$ normalization and uses $O(L)$ qubits and $\widetilde O(L^2)$ gates, where $L=\log N+\log(1/\varepsilon)$. We give an end-to-end implementation with complexity analysis, including the success probability and output-state error.
Quantum Physics (quant-ph); Data Structures and Algorithms (cs.DS)
arXiv:2609.40277 [quant-ph]
(or arXiv:2609.40277v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.40277 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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