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  • Podcast

    June 11, 2025
    Quantum computing and sensing are emerging markets, but they are already worth well over a billion dollars. How is growth looking? Some trends may surprise you, including a shift to on-prem quantum computers. Has AI really stolen quantum’s thunder, or is it about to synergistically help our industry and qubit counts grow? Join host Konstantinos Karagiannis for a wide-ranging chat with Celia…
  • Podcast Transcript

    September 9, 2022
    Controlling a quantum computer can mean a lot of things. For Q-CTRL, it includes better error correction and tools that help improve the performance of algorithms … by a factor of 9,000. It also means having a strong educational environment to help solve the talent shortage facing the industry. Join host Konstantinos Karagiannis for a chat with Michael J. Biercuk from Q-CTRL on how control…
  • Podcast Transcript

    September 11, 2022
    Quantum machine learning, or QML, is one of the three major application categories for quantum computing, along with optimisation and simulation. As we’re working with customers at Protiviti to find advantageous use cases in QML, we rely daily on a tool called PennyLane from Xanadu. Join host Konstantinos Karagiannis, and special cohost Emily Stamm, for a chat with Nathan Killoran from Xanadu to…
  • Podcast

    July 28, 2021
    EeroQ is building a new type of quantum computing chip that  uses electrons in superfluid helium. The approach promises over 1-GHz gate speed, spin-state qubits with over 1-second coherence times, and high connectivity or “gateability.” Will these machines also be linkable or modular? In addition we discuss funding for quantum startups, the need for quantum knowledge by all – not just…
  • Podcast Transcript

    May 15, 2023
    Quantum computing has been surrounded by hype from the beginning. While these machines may exceed our most ambitious imaginings in the future, investing in them today brings some challenges to venture capitalists. How do VCs vet companies in the field, and how does the so-called Quantum Winter affect all this? Join Host Konstantinos Karagiannis for a chat with Bill Liao about investing in quantum…
  • Podcast

    March 23, 2022
    Quantum machine learning, or QML, is one of the three major application categories for quantum computing, along with optimisation and simulation. As we’re working with customers at Protiviti to find advantageous use cases in QML, we rely daily on a tool called PennyLane from Xanadu. Join host Konstantinos Karagiannis, and special cohost Emily Stamm, for a chat with Nathan Killoran from Xanadu to…
  • Podcast

    May 3, 2023
    Quantum computing has been surrounded by hype from the beginning. While these machines may exceed our most ambitious imaginings in the future, investing in them today brings some challenges to venture capitalists. How do VCs vet companies in the field, and how does the so-called Quantum Winter affect all this? Join Host Konstantinos Karagiannis for a chat with Bill Liao about investing in quantum…
  • 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 Transcript

    April 21, 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

    October 5, 2022
    Using cardinality constraints for portfolio optimization opens the doors to new applications for creating innovative portfolios and exchange-traded-funds (ETFs). All while providing better returns with less market risk.  Host Konstantinos Karagiannis recently co-authored a paper on portfolio optimization with Sam Palmer from Multiverse Computing. Find out how the team was able to outperform…
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