The NSF Discover Superconducting Podcast explores groundbreaking research in superconducting electronics that promises to revolutionize computing with unmatched speed, energy efficiency, and sustainability. Join experts from the NSF Discover Expedition project as they dive into topics like supercomputer design, superconductive memory, and new components such as Josephson junctions. Learn how this technology aims to green data centers, reduce energy consumption, and advance fields like AI, climate modeling, and drug discovery, paving the way for a sustainable digital future.
NSF Discover Superconducting Podcast
Claim This Podcastby Julie Albright
14 episodes
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Podcast Overview
The NSF Discover Superconducting Podcast explores groundbreaking research in superconducting electronics that promises to revolutionize computing with unmatched speed, energy efficiency, and sustainability. Join experts from the NSF Discover Expedition project as they dive into topics like supercomputer design, superconductive memory, and new components such as Josephson junctions. Learn how this technology aims to green data centers, reduce energy consumption, and advance fields like AI, climate modeling, and drug discovery, paving the way for a sustainable digital future.
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Publishing Since
10/18/2024
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Recent Episodes
April 4, 2026
Probabilistic Computing with Magnetic Tunnel Junctions and Digital CMOS
<p>What if your computer didn't need to be certain to be powerful? In this episode, we take a deep dive into Professor Pedram Khalili's work in the emerging field of probabilistic computing — a fundamentally different approach to tackling problems that have stumped classical systems for decades. From cracking integer factorization to navigating complex energy landscapes, Khalili shows how pairing magnetic tunnel junctions with CMOS circuits unlocks speed and efficiency that deterministic computing simply can't match. Along the way, he introduces p-dits, a multi-dimensional twist on traditional computing variables, and makes the case for a future where cutting-edge spintronic devices and scalable digital architectures finally speak the same language. Essential listening for anyone curious about the hardware frontier reshaping AI and beyond.</p>
February 22, 2026
Beyond CMOS: Ballistic Fluxons and the Future of Reversible Computing with Dr. Kevin Osborn, University of Maryland
<p>What if computers could think faster while using a fraction of the energy? That future may already be in the lab.</p><p>In this episode of <strong>NSF Discover Superconducting</strong>, we take a deep dive into a talk by Dr. Kevin Osborn of the Joint Quantum Institute at the University of Maryland — exploring ballistic and reversible superconducting logic, a radical rethinking of how digital gates work at the quantum level.</p><p>As AI data centers push toward 20–30 megawatt power loads, Osborn's research couldn't be more timely. His team is building logic gates that harness the momentum of fluxons — magnetic flux quanta — to process information without constant power input. The result? Simulations showing over 97% energy efficiency and a potential path to zeptojoule-level computing.</p><p>We cover the physics behind Long Josephson Junctions, the Ballistic Flip-Flop (BFF), two-polarity bit systems using fluxons and anti-fluxons, and a theoretical framework for sub-nanosecond qubit readout. Plus: early experimental results from the MIT Lincoln Labs fabrication process.</p><p>Perfect for students and researchers in quantum computing, electrical engineering, and sustainable technology.</p>
December 15, 2025
What comes after CMOS?
<p>In this episode, we explore the future of superconductor electronics—a promising post-CMOS computing paradigm offering ultra-low energy consumption and ultra-high processing speeds. Dr. Sasan Razmkhah of USC’s SPORT Lab joins the conversation to discuss cutting-edge research aimed at making superconductor very-large-scale integration (sVLSI) a practical reality.</p><p>We dive into the development of <strong>Fast-Phase Logic (FPL)</strong>, a next-generation logic family that uses π-Josephson junctions and stacked zero-Josephson junctions to dramatically increase logic density while reducing power requirements. The discussion also covers hybrid system architectures that integrate superconductor logic with CMOS, spanning multiple temperature zones to balance performance, efficiency, and manufacturability.</p><p>Together, these advances outline a roadmap toward scalable, energy-efficient computing systems—pointing to a future where superconductors play a central role in high-performance and AI-driven computing.</p>
14 total episodes available
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