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  • Open Access

Quantum Simulation with Sum-of-Squares Spectral Amplification

Robbie King1,2,*, Guang Hao Low1, Ryan Babbush1, Rolando D. Somma1,†, and Nicholas C. Rubin1,‡

  • *Contact author: robbieking@google.com
  • †Contact author: rsomma@google.com
  • ‡Contact author: nickrubin@google.com

Phys. Rev. Lett. 136, 110601 – Published 17 March, 2026

DOI: https://doi.org/10.1103/m3fj-m4rm

Abstract

We present sum-of-squares spectral amplification (SOSSA), a framework for improving quantum simulation relevant to low-energy problems. We show how SOSSA can be applied to problems like energy and phase estimation and provide fast quantum algorithms for these problems that significantly improve over prior art. To illustrate the power of SOSSA in applications, we consider the Sachdev-Ye-Kitaev model, a representative strongly correlated system, and demonstrate asymptotic speedups over generic simulation methods by a factor of the square root of the system size. Our results reinforce those observed in [G. H. Low et al., arXiv:2502.15882], where SOSSA was used to achieve state-of-the-art gate costs for phase estimation of real-world quantum chemistry systems.

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