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This research demonstrates that on current noisy hardware, trading high momentum resolution for local circuit architectures significantly reduces error propagation during state preparation and measurement. By leveraging the Quantinuum System Model H2, the study proves that adiabatic evolution outperforms standard Fermionic Fourier Transform methods once system sizes exceed a specific threshold due to lower noise sensitivity. The findings highlight a critical shift in algorithm design where physical applicability is prioritized over theoretical precision to maximize performance on near-term quantum devices.
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Less precise but less noisy: local circuits for momentum-space state preparation and measurement

arXiv2 min read

arXiv:2610.01704v1 Announce Type: new Abstract: Quantum algorithms are usually optimized for gate count or circuit depth. We find on Quantinuum System Model H2 quantum computer that for a tight-binding chain ground state preparation, there is a system size $N$ beyond which the adiabatic evolution reaches significantly lower energies than the Fermionic Fourier Transform (FFT), with the same number of gates, and with the same circuit depth. We attribute this high noise sensitivity of the FFT to its high precision, being able to distinguish momenta by $1/N$. This high resolution in momentum space requires long-range couplings in real space, which propagates errors faster. In contrast, although local and physical circuits such as the adiabatic evolution have a coarser momentum resolution, they also propagate errors more slowly. For physical applications, high momentum resolution is rarely required and is often worth trading for low noise sensitivity. We also introduce a momentum measurement scheme that although less precise than FFT, is less costly and less noisy. We show that it achieves better performance than FFT for spectral function measurement on Quantinuum System Model H2 quantum computer. Our work emphasizes the importance of reducing the noise sensitivity of quantum algorithms, beyond the number of gates or circuit depth.

Abstract:Quantum algorithms are usually optimized for gate count or circuit depth. We find on Quantinuum System Model H2 quantum computer that for a tight-binding chain ground state preparation, there is a system size $N$ beyond which the adiabatic evolution reaches significantly lower energies than the Fermionic Fourier Transform (FFT), with the same number of gates, and with the same circuit depth. We attribute this high noise sensitivity of the FFT to its high precision, being able to distinguish momenta by $1/N$. This high resolution in momentum space requires long-range couplings in real space, which propagates errors faster. In contrast, although local and physical circuits such as the adiabatic evolution have a coarser momentum resolution, they also propagate errors more slowly. For physical applications, high momentum resolution is rarely required and is often worth trading for low noise sensitivity. We also introduce a momentum measurement scheme that although less precise than FFT, is less costly and less noisy. We show that it achieves better performance than FFT for spectral function measurement on Quantinuum System Model H2 quantum computer. Our work emphasizes the importance of reducing the noise sensitivity of quantum algorithms, beyond the number of gates or circuit depth.

arXiv:2610.01704 [quant-ph]

(or arXiv:2610.01704v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2610.01704 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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