2025/02/15 by Marina O. Lisnichenko, Lisnichenko, Marina O., O. M. Kiselëv +1
Biochemistry, Genetics and Molecular Biology · Computer Science · #68Q09 #81P68 #FOS: Physical sciences #Mathematical Physics (math-ph) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Spectroscopy Techniques in Biomedical and Chemical Research
paper · pdf · doi:10.48550/arxiv.2502.10840
openalex publication_date 2025/02/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this work, we present a rigorous accuracy analysis of the quantum Fourier transform (QFT), that identifies three natural sources of accuracy degeneracy: (i) discretization accuracy inherited from classical sampling theory, (ii) accuracy degeneracy due to limited resolution in eigenvalue (phase) estimation, and (iii) accuracy degeneracy resulting from finite quantum resources. We formalize these accuracy degradation sources by proving two theorems that relate the minimal amplitude and eigenvalue resolution to the number of qubits. In addition, we describe a gate-level implementation of the QFT and present simulation results on small-scale quantum systems that illustrate our theoretical findings. Our results clarify the interplay between classical signal discretization limits and quantum hardware limitations, and they provide guidelines for the resource requirements needed to achieve a desired precision.