Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published November 25, 2016 | Submitted + Supplemental Material
Journal Article Open

Atom-by-atom assembly of defect-free one-dimensional cold atom arrays

Abstract

The realization of large-scale fully controllable quantum systems is an exciting frontier in modern physical science. We use atom-by-atom assembly to implement a platform for the deterministic preparation of regular one-dimensional arrays of individually controlled cold atoms. In our approach, a measurement and feedback procedure eliminates the entropy associated with probabilistic trap occupation and results in defect-free arrays of over 50 atoms in less than 400 milliseconds. The technique is based on fast, real-time control of 100 optical tweezers, which we use to arrange atoms in desired geometric patterns and to maintain these configurations by replacing lost atoms with surplus atoms from a reservoir. This bottom-up approach may enable controlled engineering of scalable many-body systems for quantum information processing, quantum simulations, and precision measurements.

Additional Information

© 2016 American Association for the Advancement of Science. Received for publication 17 June 2016. Accepted for publication 17 October 2016. We thank K.-K. Ni, N. Hutzler, A. Mazurenko, and A. Kaufman for insightful discussion. This work was supported by NSF, CUA, NSSEFF, and Harvard Quantum Optics Center. H.B. acknowledges support by a Rubicon Grant of the Netherlands Organization for Scientific Research (NWO). During the completion of this work, we became aware of a related approach (39).

Attached Files

Submitted - 1607.03044.pdf

Supplemental Material - Endres-SM.pdf

Supplemental Material - aah3752_Supplementary_Movie_mov1_seq1_v2.mp4

Supplemental Material - aah3752_Supplementary_Movie_mov2_seq2_v2.mp4

Supplemental Material - aah3752_Supplementary_Movie_mov3_seq3_v2.mp4

Files

1607.03044.pdf
Files (12.9 MB)
Name Size Download all
md5:766b5bad8264c5a66778e0a48d847905
2.8 MB Download
md5:d35137372c433bc2a1ee344e4f821752
6.3 MB Preview Download
md5:b99b8e59004163ae18d0a3bf88df6466
755.0 kB Preview Download
md5:b39b84b2a5542a0421f5aea9b5d19742
2.3 MB Download
md5:f042ac365dc3449e81e12e060b316518
727.1 kB Download

Additional details

Created:
August 19, 2023
Modified:
October 20, 2023