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  • Podcast Transcript

    July 20, 2023
    AI is disrupting almost every industry right now, so it’s not surprising that machine learning techniques are being used to improve quantum computers and accelerate the coming of fault-tolerant systems. Applications may have an advantageous business impact sooner than we thought. Join Protiviti’s Konstantinos Karagiannis for a chat with Michael Hush from Q-CTRL and learn how they’re squeezing a…
  • Podcast

    July 12, 2023
    AI is disrupting almost every industry right now, so it’s not surprising that machine learning techniques are being used to improve quantum computers and accelerate the coming of fault-tolerant systems.
  • 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 11, 2022
    Quantum machine learning, or QML, is one of the three major application categories for quantum computing, along with optimization 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 optimization 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 Transcript

    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

    November 25, 2022
    Using cardinality constraints for portfolio optimisation 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 optimisation with Sam Palmer from Multiverse Computing. Find out how the team was able to outperform…
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