Insight Search

Sort by:
  • Podcast

    April 19, 2022
    Getting to fault-tolerant quantum computing requires improving qubit quality. The dream of engineers is the “four nines,” or 99.99 percent fidelity. Quantinuum, well known for its H1 trapped-ion system, has found a way to achieve this elusive goal. Join host Konstantinos Karagiannis for a chat with Tony Ransford. Guest: Tony Ransford – Quantinuum
  • Podcast

    February 9, 2022
    It’s amazing how many programming languages and interfaces exist in quantum computing already. What if there was a way to learn and use all of them without installing anything? qBraid is making that possible with a site you can join for free today. Join host Konstantinos Karagiannis for a chat with Kanav Setia from qBraid. Guest: Kanav Setia– CEO qBraid
  • Podcast

    April 20, 2021
    Will continued quantum advancements threaten Bitcoin and other altcoin transactions? Listen as we discuss The Quantum Resistant Ledger (QRL) a cryptocurrency taking a post-quantum safe approach to blockchain. While BTC’s value may plummet at even the threat of quantum tampering, QRLs should remain immune. Can Bitcoin learn a thing or two and adapt? Will the value of QRL go up with the…
  • Podcast

    June 15, 2021
    Finding a specific use case that proves quantum advantage will radically kickstart the quantum computing industry. While universal gate-based quantum computers with error correction are a few years away, annealers;- quantum systems from D-Wave - are proving excellent at specific types of problems today, especially in a hybrid approach aided by classical computers. Just how excellent are these…
  • Podcast

    January 26, 2022
    Nearly US$1 billion in funding poured into the quantum computing industry last year. One company, PsiQuantum, received about half of that! What are they building? Nothing less than a photonic quantum computer with a million qubits. How does this machine compare to trapped ion and transmon approaches from the competition? And, more importantly, how soon could this quantum computing behemoth be…
  • Podcast

    January 12, 2022
    We’re currently in the quantum economy 2.0. What was 1.0? We discuss this with someone who spent over two decades at the National Institute of Standards and Technology (NIST) and who now consults with companies on a range of policy issues relating to the quantum economy. We also explore the business outlook for various quantum computing and sensing technologies. Join host Konstantinos Karagiannis…
  • Podcast

    October 6, 2021
    One of the hottest jobs in quantum computing in the coming years will be that of software engineer. The need for translating complex business needs to quantum algorithms and code will only grow. In this episode we talk to Dr. Anna Hughes from Agnostiq about her unique career path to quantum software engineer. Guest: Dr. Anna Hughes, Quantum Software Engineer at Agnostiq
  • Podcast

    December 11, 2024
    You could summarise 2024 in two quantum computing topics: the release of the NIST PQC standards and the arrival of logical qubits. We dig into the latter in this episode. Atom Computing recently performed computation on 28 logical qubits with the help of Microsoft’s qubit virtualisation. The future roadmap is optimistic and exciting for those looking for quantum advantage from hardware.
  • Podcast

    January 8, 2025
    Most applications businesses rely on are complex, with subroutines, loops, etc. Is it possible to run a binary like this on a quantum computer? Not quite, but one company has a tool that identifies portions of code where quantum computing circuits could make a difference and then manages the necessary handoffs. Join host Konstantinos Karagiannis as he discusses the future of running programs on…
  • Podcast

    January 22, 2025
    Many companies call 2025 the year of quantum computing for reasons ranging from PQC to better applications and hardware. Here comes the Helios system from Quantinuum, and we say it’s all right to celebrate 50 logical qubits this year. We look at the company’s roadmap, aggressive error-correction ratios, and some innovative ways the coming systems will work with AI to solve problems and not just…
Loading...