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Andrew Martin,  IQT Research, Senior Associate Analyst, will present on “Quantum Safe: A Survey of QKD, QRNG and PQC in Banking and Finance” at IQT Quantum Cybersecurity in NYC October 25-27

By Sandra Helsel posted 30 Sep 2022

Andrew Martin,  IQT Research, Senior Associate Analyst, will present on “Quantum Safe: A Survey of QKD, QRNG and PQC in Banking and Finance” at IQT Quantum Cybersecurity in NYC October 25-27.
Andrew has a profound hands-on experience in building successful commercial strategies for various deep-tech and IT startups. He works together with the IQT Research team as a part-time Analyst to make best-in-class industry-related marketing reports. Before joining IQT he was responsible for the development and implementation of the business strategy of QRate – vendor of the QKD hardware. In the recent decade he managed sales and marketing activities in top-tier telecom and IT vendors of complex high-tech solutions in various European countries.

IQT Quantum Cybersecurity New York October 25-27 is the first international conference and exhibition focused on QUANTUM CYBERSECURITY. Nine vertical topics encompassing more than 40 panels and talks, curated by IQT Research’s Lawrence Gasman, will provide attendees with a deep understanding on the current impact of quantum technology on cybersecurity and how it will evolve. Cybersecurity is of growing importance to business, government, and the intelligence/military in a world of hacking and geopolitical instability. IQT Fall 2022 will be primarily “in person” (limited virtual participation available) to ensure maximum networking and discussion missing from larger hybrid events.

(Exclusive sponsorships available for each of the 9 vertical topics as well as the overall sponsorship for the entire event: apply to info@3drholdings.com)

Register here for IQT-NY Quantum Cybersecurity

Sandra K. Helsel, Ph.D. has been researching and reporting on frontier technologies since 1990.  She has her Ph.D. from the University of Arizona.

 

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Quantum computing can significantly help the finance industry through machine learning, annealing, and other processes.