An atomic boson sampler

Aaron W. Young (), Shawn Geller, William J. Eckner, Nathan Schine, Scott Glancy, Emanuel Knill and Adam M. Kaufman ()
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Aaron W. Young: University of Colorado and National Institute of Standards and Technology and Department of Physics, University of Colorado
Shawn Geller: National Institute of Standards and Technology
William J. Eckner: University of Colorado and National Institute of Standards and Technology and Department of Physics, University of Colorado
Nathan Schine: University of Colorado and National Institute of Standards and Technology and Department of Physics, University of Colorado
Scott Glancy: National Institute of Standards and Technology
Emanuel Knill: National Institute of Standards and Technology
Adam M. Kaufman: University of Colorado and National Institute of Standards and Technology and Department of Physics, University of Colorado

Nature, 2024, vol. 629, issue 8011, 311-316

Abstract: Abstract A boson sampler implements a restricted model of quantum computing. It is defined by the ability to sample from the distribution resulting from the interference of identical bosons propagating according to programmable, non-interacting dynamics1. An efficient exact classical simulation of boson sampling is not believed to exist, which has motivated ground-breaking boson sampling experiments in photonics with increasingly many photons2–12. However, it is difficult to generate and reliably evolve specific numbers of photons with low loss, and thus probabilistic techniques for postselection7 or marked changes to standard boson sampling10–12 are generally used. Here, we address the above challenges by implementing boson sampling using ultracold atoms13,14 in a two-dimensional, tunnel-coupled optical lattice. This demonstration is enabled by a previously unrealized combination of tools involving high-fidelity optical cooling and imaging of atoms in a lattice, as well as programmable control of those atoms using optical tweezers. When extended to interacting systems, our work demonstrates the core abilities required to directly assemble ground and excited states in simulations of various Hubbard models15,16.

Date: 2024
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DOI: 10.1038/s41586-024-07304-4

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