13 citations · 28 across the 6 of their papers we have counts for
6 papers
Efficient tensor-network simulations of weakly-measured quantum circuits
Darren Pereira, Leonardo Banchi
We present a tensor-network-based method for simulating a weakly-measured quantum circuit. In particular, we use a Markov chain to efficiently sample measurements and contract the…
Spin-spiral instability of the Nagaoka ferromagnet in the crossover between square and triangular lattices
Darren Pereira, Erich J. Mueller
We study the hard-core Fermi-Hubbard model in the crossover between square and triangular lattices near half-filling. As was recognized by Nagaoka in the 1960s, on the square latti…
Kinetic magnetism in the crossover between the square and triangular lattice Fermi-Hubbard models
Darren Pereira, Erich J. Mueller
We calculate the spin correlations that result from the motion of a single dopant in the hard-core Fermi-Hubbard model, as the geometry evolves from a square to a triangular lattic…
Dynamics of spin helices in the diluted one-dimensional model
Darren Pereira, Erich J. Mueller
Motivated by discrepancies between recent cold atom experiments and the associated theory, we explore the effect of immobile holes on the quantum dynamics of - spin helices i…
Dynamics of Spin Helices in the One-Dimensional Model
Darren Pereira, Erich J. Mueller
Motivated by cold-atom experiments and a desire to understand far-from-equilibrium quantum transport, we analytically study the dynamics of spin helices in the one-dimensional …
Unsupervised Machine Learning of Quenched Gauge Symmetries: A Proof-of-Concept Demonstration
Daniel Lozano-Gómez, Darren Pereira, Michel J. P. Gingras
In condensed matter physics, one of the goals of machine learning is the classification of phases of matter. The consideration of a system's symmetries can significantly assist the…