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GeezerVison is showing github.com — OJB-Quantum - Overview

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@OJB-Quantum
OJB-Quantum
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💭
I build quantum systems for a living

Onri Jay Benally OJB-Quantum

💭
I build quantum systems for a living
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Quantum Hardware Engineering. Lead, Doctoral Researcher, NSF Graduate Research Fellow, Carpenter from Red Valley, AZ, USA (Diné).
154 followers · 54 following
  • Nano Magnetism & Quantum Spintronics Lab, University of Minnesota-Twin Cities
  • Minneapolis, MN
  • z.umn.edu/OJB-LinkedIn
  • https://orcid.org/0000-0002-8391-9105
  • onri_jay_benally
  • https://scholar.google.com/citations?user=PuZFxQ4AAAAJ&hl=en
  • https://credly.com/users/onri-jay-benally/badges
  • https://medium.com/@ojb-quantum

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OJB-Quantum/README.md

20240724_222153_857

  • 👋🏽 Hi, I’m Onri @OJB-Quantum. I'm a Diné (Navaho) tribesman, 100% Indigenous American, doing PhD work on quantum computing chip hardware & beyond-CMOS quantum-adjacent memory devices based on advanced spintronics. I advocate for open source hardware & software technologies. Also, I create knowledge systems through GitHub repositories based on my expertise.
  • 🧑🏻‍🏫 My areas of expertise include: electron-beam lithography, nanodevice engineering/patterning, quantum hardware systems engineering, materials integration, process engineering/development, idea generation, implementation, & demonstration.
  • 🤠 I'm self-taught in practical electronics, mathematics, linguistics, & scientific computing.
  • 👀 My interest is in sustainable quantum hardware engineering, nanofabrication engineering, quantum scientific computing, generative design, fractal geometry, & data-driven 3D modeling.
  • 🏢 I'm a former Quantum Hardware Engineer at IBM Research, Yorktown Heights, New York (TJ Watson Research Center). At IBM I advanced the scaling/ accuracy of quantum-centeric supercomputing via quantum-limited parametric amplifier superconducting materials research for high bandwidth quantum processors. I also generated extensive documentation on XLDs Bluefors dilution fridges & highly experimental processes on superconducting chiplet measurement automation. (This made me the 1st Native/ Indigenous American Quantum Hardware Engineer/ Quantum Computing Engineer).
  • 🌱 As an NSF Graduate Research Fellow, I’m currently leading a team of quantum hardware engineers for the duration of my PhD program @UMN. I work on the integration of nature-inspired designs into quantum processor chips & cryogenic magnetic random-access memory made of sustainable metallic spintronic materials, in my nanofabrication facility (cleanroom). I spend a lot of time back & forth between my office & the cleanroom.
  • ☢️ My quantum device lithography repository known as 'Qiskit-Metal-to-Litho' was officially integrated into the Quantum Metal Ecosystem, formerly known as Qiskit Metal, in 2026. This was a huge personal milestone.
  • 🧑🏻‍🔬 Explanation of quantum computing hardware: "In a sense, the physical realization of a quantum computer is an automated 'scatterometry' of quantum logic gates." - Onri Jay Benally
  • 🤳 "To sum up electrical engineering & electronics in ~6 words: information, conversion, efficiency, transmission, & design automation." - Onri Jay Benally
  • 📚 "Etymologies, anatomies, and classification trees are some of the best ways to learn about anything, especially to build the strongest grounding for knowledge systems." - Onri Jay Benally
  • 🖥️ You can ask ChatGPT or Gemini about me & it will tell you more about my research over the past decade.
  • 📫 How to reach me: z.umn.edu/ojb-LinkedIn.
  • 🌐 Google snippet about Onri.
  • 📻 International podcast about my research journey available on Spotify & Amazon Music.
  • ⚛️ Details about my National Science Foundation Graduate Fellowship & NSF GRFP 2024 Cohort.
  • 📔 National magazine about my life journey available on Winds of Change.
  • ▶️ My Quantum Hardware Lecture Series available on YouTube.
  • 📖 Encyclopedia feature of me speaking in the Diné (Navaho) language.
  • ⚡ A website I made on ArchGIS on things to consider when building electric bicycles.
  • 🎬 My quantum chip rendering tutorials featured by Dr. Zlakto Minev from IBM Research.
  • 🎬 My quantum chip rendering tutorials featured in the Brian Siegelwax blog.
  • 📖 An article feature of me on A.I. & linguistics by Sean Dudley & Al Kuslikis from ASU/AIHEC.
  • 🆆 My high resolution open access renderings & graphics contributions on Wikimedia Commons.

Some of my creations: quantum computer modeled in Blender (first), 3D-printed quantum computer (second), nano MTJ array memory chip (third), & 400-qubit Mo superconductor-based quantum processor chip (fourth):

ezgif-1-731c8dbc9e ezgif-7-614ee69646 ezgif-3-e77a35f60e ezgif-3-f914e0a24c


GitHub Streak


Click to view Onri's CV: Open

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  1. QC-Hardware-How-To QC-Hardware-How-To Public

    Everything you need for quantum hardware engineering in the field. Curated by Onri Jay Benally, an Indigenous American Quantum Hardware Engineer.

    Jupyter Notebook 105 14

  2. Qiskit-Metal-to-Litho Qiskit-Metal-to-Litho Public

    From Qiskit Metal to pattern generation to real nanofabrication demo. Here, quantum devices on a chip are patterned via direct-write electron-beam lithography in a nanofabrication facility. Written…

    Jupyter Notebook 65 18

  3. Free-Education Free-Education Public

    A collection of free educational materials, most of which are interactive or 3D animated. (See README below). You may find inspiration for measurement techniques here. They may improve your compreh…

    75 10

  4. Generative-Layout-Notebooks Generative-Layout-Notebooks Public

    GDSII/OASIS layouts, including fractals, generated in working Google Colab notebooks. Layout previews are plotted as 2D graphics before exporting.

    Jupyter Notebook 10 2

  5. MuMax3-How-To MuMax3-How-To Public

    Installation, scripting, & data generation demo of GPU-accelerated computational micro and nanomagnetism in MuMax3 and MuMax+. Formed & written by Onri Jay Benally, an Indigenous American quantum h…

    Jupyter Notebook 13 3

  6. Quantum-Native-Solvers Quantum-Native-Solvers Public

    A compilation of quantum-native solver techniques that can be used to map and run on a quantum computer. Compiled by Onri Jay Benally.

    Jupyter Notebook 6

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