Trotter error and gate complexity of the SYK and sparse SYK models
1Korteweg-de Vries Institute for Mathematics, University of Amsterdam, The Netherlands
2QuSoft, Amsterdam, The Netherlands
3CWI, Amsterdam, The Netherlands
4Institute for Logic, Language, and Computation, University of Amsterdam, The Netherlands
| Published: | 2026-02-09, volume 10, page 1999 |
| Editor: | Álvaro Alhambra |
| Eprint: | arXiv:2502.18420v2 |
| Doi: | https://doi.org/10.22331/q-2026-02-09-1999 |
| Citation: | Quantum 10, 1999 (2026). |
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Abstract
The Sachdev–Ye–Kitaev (SYK) model is a prominent model of strongly interacting fermions that serves as a toy model of quantum gravity and black hole physics. In this work, we study the Trotter error and gate complexity of the quantum simulation of the SYK model using Lie–Trotter–Suzuki formulas. Building on recent results by Chen and Brandão [6] — in particular their uniform smoothing technique for random matrix polynomials — we derive bounds on the first- and higher-order Trotter error of the SYK model, and subsequently find near-optimal gate complexities for simulating these models using Lie–Trotter–Suzuki formulas. For the $k$-local SYK model on $n$ Majorana fermions, at time $t$, our gate complexity estimates for the first-order Lie–Trotter–Suzuki formula scales with $\tilde{\mathcal{O}}(n^{k+\frac{5}{2}}t^2)$ for even $k$ and $\tilde{\mathcal{O}}(n^{k+3}t^2)$ for odd $k$, and the gate complexity of simulations using higher-order formulas scales with $\tilde{\mathcal{O}}(n^{k+\frac{1}{2}}t)$ for even $k$ and $\tilde{\mathcal{O}}(n^{k+1}t)$ for odd $k$. Given that the SYK model has $\Theta(n^k)$ terms, these estimates are close to optimal. These gate complexities can be further improved upon in the context of simulating the time evolution of an arbitrary fixed input state $|\psi\rangle$, leading to a $\mathcal{O}(n^2)$-reduction in gate complexity for first-order formulas and $\mathcal{O}(\sqrt{n})$-reduction for higher-order formulas.
We also apply our techniques to the sparse SYK model, which is a simplified variant of the SYK model obtained by deleting all but a $\Theta(n)$ fraction of the terms in a uniformly i.i.d. manner. We find the average (over the random term removal) gate complexity for simulating this model using higher-order formulas scales with $\tilde{\mathcal{O}}(n^{1+\frac{1}{2}} t)$ for even $k$ and $\tilde{\mathcal{O}}(n^{2} t)$ for odd $k$. Similar to the full SYK model, we obtain a $\mathcal{O}(\sqrt{n})$-reduction simulating the time evolution of an arbitrary fixed input state $|\psi\rangle$.
Our results highlight the potential of Lie–Trotter–Suzuki formulas for efficiently simulating the SYK and sparse SYK models, and our analytical methods can be naturally extended to other Gaussian random Hamiltonians.

► BibTeX data
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Cited by
[1] Etienne Granet, Yuta Kikuchi, Henrik Dreyer, and Enrico Rinaldi, "Simulating sparse SYK model with a randomized algorithm on a trapped-ion quantum computer", npj Quantum Information 12 1, 43 (2026).
[2] Talal Ahmed Chowdhury, Kwangmin Yu, and Raza Sabbir Sufian, "Probing entanglement dynamics in the SYK model using quantum computers", Results in Physics 79, 108526 (2025).
[3] Sabhyata Gupta, Bharath Sambasivam, Sophia E. Economou, Edwin Barnes, Alexander F. Kemper, and Raghav G. Jha, "Ground state preparation of random all-to-all Hamiltonians using ADAPT-VQE", arXiv:2606.18339, (2026).
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