Koninklijke Industrieele Groote Club, Dam Square, Amsterdam, Netherlands
Quantum Computing in Banking & Finance
Join Amsterdam Data Science for this conference on the challenges and implications of Quantum Computing on Banking & Finance, with world renowned speakers from academia and the industry.
Programme
| ⠀⠀⠀⠀⠀⠀⠀⠀⠀ | ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
|---|---|
| 14:00 | Quantum Computing Fundamentals Outlook on Quantum Computing Technology by Barbara Terhal Professor at QuTech/TU Delft Algorithms and Software for Quantum Applications by Stacey Jeffery CWI & UvA ⠀⠀⠀⠀⠀⠀⠀ |
| 15:00 | Implications for Banking and Finance (1) General overview by Stefan Woerner Global Lead Quantum Finance & Optimization, IBM Research, Zurich ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 15:30 | Implications for Banking and Finance (2) Risk Analytics by Drona Kandhai & Adil Acun Quantitative Analytics, ING Quantum computing and payment systems by Oscar Covers Cyber Security Analyst, Betaalvereniging Information security by Dimitri van Esch & Shairesh Algoe Quantum Computing Leads, ABN AMRO ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 16:30 | Questions & Discussion with Speakers Moderated by Hans van Loon Cybersecurity Advisory, NVB ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 16:45 | Drinks & Networking ⠀⠀⠀⠀⠀⠀⠀⠀⠀ |
| 17:30 | End |
This programme will be moderated by Hans Amman and Marc Salomon from the University of Amsterdam Business School.
Other details
Date: Friday 8th November 2019
Time: 14:00-17:30
Location: Koninklijke Industrieele Groote Club, Dam 27, 1012 JS Amsterdam
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Registration is free but you must do so in advance through Eventbrite.
The event will be in English and is open to all.
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Amsterdam Data Science (ADS) accelerates data science research by connecting, sharing and showcasing world-class technology, expertise and talent from Amsterdam on a regional, national and international level. Our research enables business and society to better gather, store, analyse and present data in order to gain valuable insights and make informed decisions.
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We will be taking photos of the event and posting them on the ADS website and social media channels. If you have any questions or concerns, please send an email to info@amsterdamdatascience.nl.