Insight Search

Sort by:
  • Podcast

    September 22, 2021
    Engineering challenges abound in quantum computing. Technologies like interconnect and improved memory for repeaters will enable these machines to accelerate and power connectivity in the future. Q-NEXT is one of five quantum information science research centers funded by the DOE to help develop these technologies in addition to strengthening the nation’s leadership position in the quantum arms…
  • 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

    May 5, 2021
    What do you do when you’re working on what could be the world’s most powerful quantum computer … but it’s not quite ready? Well, you give access to other powerful systems via your cloud environment. During this episode we discuss Microsoft Azure Cloud, software development environments and abstracting away complexity, muse on when or if topological computing will arrive (and explain it), and…
  • 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

    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…
  • Podcast

    February 5, 2025
    I'm always asked the same question when talking to customers about the threats of quantum computing and the move to post-quantum cryptography. What are similar companies doing about it? It’s only been half a year since the NIST standards were published, but we’re starting to see some traction. Join host Konstantinos Karagiannis for a chat with Samantha Mabey from Entrust about an interesting…
  • 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. 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 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

    May 29, 2024
    Large Language Models are … large. Forget Bitcoin and recharging electric vehicles; the grid could be toppled by powering AI in a few years. It would be optimal if AI could run on more underpowered edge devices. What if there was a quantum-inspired way to make LLMs smaller without sacrificing overall performance in combined metrics? We explore a way to do that and other advanced ideas like…
Loading...