IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-63486-z.html
   My bibliography  Save this article

Programmable circuits for analog matrix computations

Author

Listed:
  • Rasool Keshavarz

    (University of Technology Sydney)

  • Kevin Zelaya

    (Queens College of the City, University of New York)

  • Negin Shariati

    (University of Technology Sydney)

  • Mohammad-Ali Miri

    (Queens College of the City, University of New York
    The Graduate Center of the City, University of New York
    Rochester Institute of Technology)

Abstract

Matrix operations are at the core of signal processing in radiofrequency and microwave networks. While analog matrix computations can dramatically speed up signal processing in multiport networks, they can also reduce the size, weight, and power of radiofrequency and microwave devices by partially eliminating the need for power-hungry electronics. These computing devices exploit fundamental properties of electromagnetic waves, enabling parallel signal processing at the speed of light. Here, we propose and demonstrate a microwave-integrated circuit capable of implementing universal unitary matrix transformations. The proposed device operates by alternating non-reconfigurable and reconfigurable layers of basic RF components, comprising cascaded power dividers and programmable phase elements, respectively. The controllable multipath interference through conjunctive use of linear wave mixing with active phase control enables creating complex transformations in this device. We experimentally demonstrate this device concept using a four-port integrated circuit operating across the frequency range of 1.5–3.0 GHz and at hundreds of micro-Watt power levels. The proposed device can pave the way for universal analog radiofrequency and microwave processors and preprocessors with programmable functionalities for multipurpose applications in advanced communications and radar systems.

Suggested Citation

  • Rasool Keshavarz & Kevin Zelaya & Negin Shariati & Mohammad-Ali Miri, 2025. "Programmable circuits for analog matrix computations," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63486-z
    DOI: 10.1038/s41467-025-63486-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-63486-z
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-63486-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dimitrios C. Tzarouchis & Brian Edwards & Nader Engheta, 2025. "Programmable wave-based analog computing machine: a metastructure that designs metastructures," Nature Communications, Nature, vol. 16(1), pages 1-7, December.
    2. H. Aghaee Rad & T. Ainsworth & R. N. Alexander & B. Altieri & M. F. Askarani & R. Baby & L. Banchi & B. Q. Baragiola & J. E. Bourassa & R. S. Chadwick & I. Charania & H. Chen & M. J. Collins & P. Cont, 2025. "Scaling and networking a modular photonic quantum computer," Nature, Nature, vol. 638(8052), pages 912-919, February.
    3. Jingtian Hu & Deniz Mengu & Dimitrios C. Tzarouchis & Brian Edwards & Nader Engheta & Aydogan Ozcan, 2024. "Diffractive optical computing in free space," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jie Fang & Rui Chen & David Sharp & Enrico M. Renzi & Arnab Manna & Abhinav Kala & Sander A. Mann & Kan Yao & Christopher Munley & Hannah Rarick & Andrew Tang & Sinabu Pumulo & Yuebing Zheng & Vinod M, 2024. "Million-Q free space meta-optical resonator at near-visible wavelengths," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Yuntian Wang & Yuhang Li & Tianyi Gan & Kun Liao & Mona Jarrahi & Aydogan Ozcan, 2025. "Optimizing structured surfaces for diffractive waveguides," Nature Communications, Nature, vol. 16(1), pages 1-21, December.
    3. Ivan Sinev & Felix Ulrich Richter & Ivan Toftul & Nikita Glebov & Kirill Koshelev & Yongsop Hwang & David G. Lancaster & Yuri Kivshar & Hatice Altug, 2025. "Chirality encoding in resonant metasurfaces governed by lattice symmetries," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    4. Yingheng Tang & Ruiyang Chen & Minhan Lou & Jichao Fan & Cunxi Yu & Andrew Nonaka & Zhi Yao & Weilu Gao, 2025. "Optical neural engine for solving scientific partial differential equations," Nature Communications, Nature, vol. 16(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63486-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.