Sharp Bounds on Ground State Energy of the SYK Model
Arpon Basu, Pravesh K. Kothari, Siddhant Midha
Abstract
We study the Sachdev-Ye-Kitaev (SYK) Hamiltonian HSYK on n Majorana modes with k-body interactions, and prove that E\|HSYK\|op = (1 - o(1))·2n/k for super-constant k≤ o(n), where the expectation is over the disorder variables in the Hamiltonian. This confirms the predictions due to Garcia-Garcia, Jia and Verbaarschot'18 and answers a question posed in Feng, Tian and Wei'19. Our results extend to the sparse SYK Hamiltonian. As a corollary, we obtain that the dissipative quantum algorithm of Basso, Chen and Dalzell'24 provably computes the ground state energy of the SYK Hamiltonian up to an O(1)-multiplicative factor for all k < n/4. Our key technical idea is identifying an explicit, deterministic linear operator x such that a fixed quadratic form of x2 exactly equals the expected trace moments of the SYK Hamiltonian for every n and k. This linear operator can be naturally viewed as a twisted model of bosons on the space of hyperedges of a hypergraph. The problem thus reduces to identifying the spectral edge of x, which we show is dominated by the spectrum of a natural n k-dimensional matrix from the Johnson scheme and is straightforward to compute using known results. To show that our bound is sharp, we construct a witness state with a large quadratic form on x and transform it into a certificate of a lower bound on the largest quadratic form on HSYK.
Create a lesson
Related papers
Trading Circuit Depth for Pulse Sparsity in Chromatic Dynamical Decoupling
Amy F. Brown, Daniel A. Lidar
Optimal spectrum estimation
Ainesh Bakshi, Apoorv Vikram Singh, Xinyu Tan
Non-Abelian sheaf quantum LDPC codes: good and magical
Zimu Li, Fuchuan Wei, Zhengyi Han et al.
Learning and interpreting policies for simultaneous entanglement requests in quantum networks
Leon Rode, Sumeet Khatri, Supartha Podder
Sharp universal death of entanglement threshold for Pauli Hamiltonians
Bobak T. Kiani
Proper Agnostic Learning of Matrix Product States and Tree Tensor Networks
Constantin Cedillo Vayson de Pradenne, Jordan Cotler