The quantum dynamics of spin systems with uniform all-to-all interaction are often studied in
the totally symmetric space (TSS) of maximal total spin. However, the TSS states are atypical …

We study whether neural quantum states based on multilayer feed-forward networks can
find ground states which exhibit volume-law entanglement entropy. As a testbed, we employ …

The fundamental problem in much of physics and quantum chemistry is to optimize a low-
degree polynomial in certain anticommuting variables. Being a quantum mechanical …

Quantum state tomography (QST) is the art of reconstructing an unknown quantum state
through measurements. It is a key primitive for developing quantum technologies. Neural …

Random spin systems at low temperatures are glassy and feature computational hardness
in finding low-energy states. We study the random all-to-all interacting fermionic Sachdev …

We consider the problem of approximating the ground state energy of a fermionic
Hamiltonian using a Gaussian state. In sharp contrast to the dense case [1, 2], we prove that …

We propose and study a two-orbital lattice extension of the Sachdev-Ye-Kitaev model in the
large-N limit. The phase diagram of this model features a high-temperature isotropic non …

In quantum information science, Clifford operators and stabilizer codes play a central role for
systems of qubits (or qudits). In this paper, we study the analogous objects for systems of …

Motivated by the ground state structure of quantum models with all-to-all interactions such as
mean-field quantum spin glass models and the Sachdev-Ye-Kitaev (SYK) model, we …

Finding reliable approximations to the quantum many-body problem is one of the central
challenges of modern physics. Elemental to this endeavor is the development of advanced …