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  • Podcast Transcript

    March 10, 2023
    As NISQ-era quantum computing improves, we’re on the cusp of practical advantage within a couple of years. But some companies want to see impressive performance today. That’s where quantum-inspired solutions can provide up to triple the power, all on classical hardware. Learning quantum-inspired programming could even help coders migrate to real quantum computers in the future. Could these…
  • Podcast

    March 8, 2023
    Boeing is all about connecting the world and soaring to new heights in every sense of the phrase. Nestled inside this giant is a large team dedicated to using quantum computing and sensing to ensure innovation in aeronautics, ranging from materials science to navigation and other use cases. Join Host Konstantinos Karagiannis for an uplifting chat with Jay Lowell from Boeing.  
  • Podcast

    April 5, 2023
    We often hear that the path to fault-tolerant quantum computing will require error correction. How will this technique work? Join host Konstantinos Karagiannis for a chat with Yonatan Cohen, Chief Technology Officer at Quantum Machines, about this and other scaling technologies. Also, learn how Quantum Machines is working on all aspects of hybrid control of quantum and classical processors to…
  • Podcast

    September 3, 2025
    Imagine a world where quantum computers seamlessly share entangled particles across data centers, solving problems beyond the reach of classical systems. This may be possible soon thanks to a groundbreaking quantum networking entanglement chip capable of generating 200 million entangled photon pairs per second at room temperature. Cisco is redefining networking again, doing everything from…
  • Podcast

    March 5, 2025
    Quantum computing needs low-overhead error correction to truly scale. Building thousands of qubits to end up with a couple of useful logical ones feels like a bad strategy. Photonic recently published a paper describing a new type of error correction code that promises a 20X reduction in the number of qubits needed to run quantum algorithms that solve real business problems. Are these so-called…
  • Podcast

    March 19, 2025
    Migrating to post-quantum cryptography across an organisation will take time. But while you are replacing every cipher to defend against the threat side of quantum computing, you may also want to add systems that bring new functionality and come with PQC out of the gate. Imagine a mobile messaging app like WhatsApp, but with NIST-approved ML-KEM under the hood and enterprise-grade controls. From…
  • Podcast

    May 1, 2024
    Is post-quantum cryptography safe from quantum computing? Do we really need thousands of qubits to attack RSA? We examine some of the challenges to PQC strength and timeline that have recently emerged in scientific papers and consider what makes peer review such a crucial part of the process. Join Host Konstantinos Karagiannis for a chat about the actual state of PQC and how it will affect your…
  • Podcast

    July 24, 2024
    The migration to post-quantum cryptography (PQC) is about to begin and is necessary to protect against the threats of fault-tolerant quantum computing. However, critical assets like those in military, banking, and government environments also require other layers of security and strategies such as zero trust and increased encryption bit sizes. Join host Konstantinos Karagiannis as he discusses a…
  • Podcast

    March 6, 2024
    Quantum computing needs error-corrected, logical qubits to exit the noisy intermediate-scale quantum (NISQ) era and bring real advantage to practical business and other use cases. A recent experiment at Harvard succeeded at creating 48 logical qubits on a neutral atom platform, and the techniques will be implemented in production systems in the future. We may have 100 logical qubits by 2026! Join…
  • Podcast

    June 26, 2024
    Error correction typically involves a lot of physical qubits and using them to create one logical qubit. Ratios vary by modality and approach, so getting a single fault-tolerant qubit may take seven to a thousand physical ones. What if there was a way to correct most of the errors that appear on each qubit instead? Scaling up from there would certainly be much easier, getting us to machines that…
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