233 citations · 516 across the 26 of their papers we have counts for
5 papers · 2 filters
Strongly interacting fermions are non-trivial yet non-glassy
Eric R. Anschuetz, Chi-Fang Chen, Bobak T. Kiani +1
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--Ye…
A Unified Theory of Quantum Neural Network Loss Landscapes
Eric R. Anschuetz
Classical neural networks with random initialization famously behave as Gaussian processes in the limit of many neurons, which allows one to completely characterize their training…
Bounds on the ground state energy of quantum -spin Hamiltonians
Eric R. Anschuetz, David Gamarnik, Bobak T. Kiani
We consider the problem of estimating the ground state energy of quantum -local spin glass random Hamiltonians, the quantum analogues of widely studied classical spin glass mode…
Q-CHOP: Quantum constrained Hamiltonian optimization
Michael A. Perlin, Ruslan Shaydulin, Benjamin P. Hall +7
Combinatorial optimization problems that arise in science and industry typically have constraints. Yet the presence of constraints makes them challenging to tackle using both class…
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning
Eric R. Anschuetz, Xun Gao
Recent theoretical results in quantum machine learning have demonstrated a general trade-off between the expressive power of quantum neural networks (QNNs) and their trainability;…