ojb-quantum / navaho-linguistics

A repository for Indigenous American language material for quantum hardware education from the Diné/Navaho/Navajo tribe. Collected & written by Onri Jay Benally, an Indigenous American quantum engineer.

• 👋🏽 Hi, I’m Onri @OJB-Quantum. I'm a Diné (Navaho) tribesman, 100% Indigenous American, doing PhD work on quantum computing chip hardware.
• 👀 My interest is in quantum hardware engineering, nanofabrication engineering, quantum computation, generative design, & data-driven 3D modeling.
• 🏢 I'm currently a Quantum Hardware Engineer at IBM Research, Yorktown Heights, New York (TJ Watson Research Center). At IBM I advance the scaling/ accuracy of quantum systems via cryogenic/ quantum-limited amplifier engineering for higher density quantum processor readout. I also write documentation on Bluefors dilution fridge components and quantum chip measurement automation.
• 🌱 As an NSF Graduate Research Fellow, I’m leading a team of quantum hardware engineers for the duration of my PhD program @UMN, working on the integration of nature-inspired designs into quantum processor chips & cryogenic magnetic random-access memory made of beyond-CMOS nanotechnology in my nanofabrication facility (cleanroom). I spend a lot of time back & forth between my office & the cleanroom.
• 🧑🏻‍🔬 Onri's 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
• 🖥️ You can ask GPT or Copilot 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.
• ⚛️ Details about my National Science Foundation Graduate Fellowship.
• 📔 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.

Some of my stuff: 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):