activity
20102020
most citedOptimal control for unitary preparation of many-body states: application to Luttinger liquids

41 citations · 114 across the 3 of their papers we have counts for

collaborators

6 papers

cond-mat.str-el2020

Creating and manipulating a Laughlin-type fractional quantum Hall state on a quantum computer with linear depth circuits

Armin Rahmani, Kevin J. Sung, Harald Putterman +3

Here we present an efficient quantum algorithm to generate an equivalent many-body state to Laughlin's fractional quantum Hall state on a digitized quantum computer. Our al…

cond-mat.str-el2018

Interacting Majorana Fermions

Armin Rahmani, Marcel Franz

Majorana fermions are the real (in a mathematical sense) counterparts of complex fermions like ordinary electrons. The promise of topological quantum computing has lead to substant…

cond-mat.str-el2018

Phase diagrams of Majorana-Hubbard ladders

Armin Rahmani, Dmitry Pikulin, Ian Affleck

Models of interacting Majorana modes may be realized in vortex lattices in superconducting films in contact with topological insulators and may be tuned to the strong-interaction r…

cond-mat.str-el201737 cited

Majorana-Hubbard model on the square lattice

Ian Affleck, Armin Rahmani, Dmitry Pikulin

We study a tight-binding model of interacting Majorana (Hermitian) modes on a square lattice. The model may have an experimental realization in a superconducting-film--topological-…

cond-mat.quant-gas201236 cited

Cooling through optimal control of quantum evolution

Armin Rahmani, Takuya Kitagawa, Eugene Demler +1

Nonadiabatic unitary evolution with tailored time-dependent Hamiltonians can prepare systems of cold atomic gases with various desired properties. For a system of two one-dimension…

cond-mat.quant-gas201041 cited

Optimal control for unitary preparation of many-body states: application to Luttinger liquids

Armin Rahmani, Claudio Chamon

Many-body ground states can be prepared via unitary evolution in cold atomic systems. Given the initial state and a fixed time for the evolution, how close can we get to a desired…