Programmable high-dimensional Hamiltonian in a photonic waveguide array

The work

AuthorsYang Yang; Robert J. Chapman; Ben Haylock; Francesco Lenzini; Yogesh N. Joglekar; Mirko Lobino; Alberto Peruzzo
Editors
Typearticle
Year2024
Citekeyyang2024programmable

Where it appeared

Published inNature Communications
PublisherSpringer Science and Business Media LLC
Volume15
Issue1
Article number50

Identifiers

DOI10.1038/s41467-023-44185-z
ISSN2041-1723

Related

Contained inyang2025photonic

From crossref.

Abstract

Waveguide lattices offer a compact and stable platform for a range of applications, including quantum walks, condensed matter system simulation, and classical and quantum information processing. However, to date, waveguide lattice devices have been static and designed for specific applications. We present a programmable waveguide array in which the Hamiltonian terms can be individually electro-optically tuned to implement various Hamiltonian continuous-time evolutions on a single device. We used a single array with 11 waveguides in lithium niobate, controlled via 22 electrodes, to perform a range of experiments that realized the Su-Schriffer-Heeger model, the Aubrey-Andre model, and Anderson localization, which is equivalent to over 2500 static devices. Our architecture’s micron-scale local electric fields overcome the cross-talk limitations of thermo-optic phase shifters in other platforms such as silicon, silicon-nitride, and silica. Electro-optic control allows for ultra-fast and more precise reconfigurability with lower power consumption, and with quantum input states, our platform can enable the study of multiple condensed matter quantum dynamics with a single device.

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How it got here

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Added2026-10-22 23:33 UTC
Approved bya person 2026-10-23 07:52 UTC

Cite it as

@article{yang2024programmable,
  title        = {Programmable high-dimensional Hamiltonian in a photonic waveguide array},
  author       = {Yang Yang and Robert J. Chapman and Ben Haylock and Francesco Lenzini and Yogesh N. Joglekar and Mirko Lobino and Alberto Peruzzo},
  year         = {2024},
  journal      = {Nature Communications},
  publisher    = {Springer Science and Business Media LLC},
  volume       = {15},
  number       = {1},
  issn         = {2041-1723},
  articleno    = {50},
  doi          = {10.1038/s41467-023-44185-z},
}

This record lives at https://refs.drheap.org/yang2024programmable/ and will keep doing so.