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  • Podcast

    November 15, 2023
    Quantum computing faces several scaling issues to achieve fault-tolerant systems that can solve practical business problems. We need high-fidelity interconnect to have modules or even full quantum computers work as one powerful system. And qubits could stand to run a little hotter as refrigeration gets out of hand as we add more of the sensitive little entities. Join host Konstantinos Karagiannis…
  • Podcast Transcript

    October 31, 2023
    It’s the 11th hour as we approach 2024 and the release of NIST’s post-quantum cryptography standards. Is it possible for your business to start protecting some critical assets today from tomorrow's cryptanalytically relevant quantum computing? Find out how a few applications already do so. Join Host Konstantinos Karagiannis for a chat with Denis Mandich from Qrypt.Guest: Denis Mandich from Qrypt
  • Video

    November 1, 2023
    A financial institution needed to effectively assign its relationship managers to optimise service, balance resource workloads and maximise revenue. We helped them develop a graph data structure and algorithms in the Microsoft Azure environment to organise and analyse nested banking customer relationships.This reduced daily data processing time by nearly 96% and automated more than 90% of client…
  • Whitepaper

    March 19, 2021
    Skills and Scale: The New Finance Labor Model Proves Its Real-World Value The finance labor model of the future has passed a major test – and it was a massive one. The results of Protiviti’s latest global survey of CFOs and finance leaders show that finance organisations which leverage a diverse talent pool of full-time employees, contract and temporary workers, expert external consultants, and…
  • Podcast

    September 7, 2022
    Eine 85 Jahre alte Idee könnte der Schlüssel zu nahezu fehlerfreien Qubits sein. Das Majorana-Fermion erlangte einen fast mythischen Status, aber Microsoft hat kürzlich eine kritische technische Hürde genommen, um topologische Qubits mit Teilchen zu erzeugen. Wie nah sind wir an Quantencomputern mit dieser Technologie?
  • Video

    April 12, 2020
    Coronavirus disease 2019 (COVID-19) continues to expand its global impact on individuals, businesses, communities and governments. The dynamic nature of this pandemic makes it hard to assess what will happen next. We share resources for our clients on how we are adapting to support them and resources for all business leaders for managing effectively through these challenging times.
  • Podcast Transcript

    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 Transcript

    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 Speaker: Dr. Anna Hughes, Quantum Software Engineer at Agnostiq
  • 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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