Quantum Insights: Accelerating Knowledge Discovery (In person)

Date: Tuesday 15 October 2024, 4.30PM - 6.30PM
Location: 30 Fenchurch Street, London, England, EC3M 3BD
Section Group Meeting
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Ever wondered what the next big leap in technology might be? Quantum computing promises to be a revolutionary field that's set to transform everything from medicine to finance. Come to learn what the experts perceive the current state of the technology allows statisticians and data scientists to do now and in the near future.

It is not just a more powerful computer. It is a paradigm shift to specifying algorithms bases on manipulation of distributions. Something a statistician and a data scientist finds natural

Quantum computers can outperform classical computers in speed and efficiency in certain scenarios. They can also tackle complex tasks currently beyond the reach of conventional machines, making them particularly valuable for modelling intricate processes and complex systems. This event will explore the latest advancements in quantum computing, its integration with analytics, data science, and statistics, and its broader impact on accelerating knowledge discovery:

  • "A Gentle Introduction to Quantum Computing" - Fergus Kidd and Dr. Benedict Hazel, Avanade
  • "The Quantum Paradigm for Accelerating Scientific Discovery" - Deepa Shinde, Microsoft
  • "Quantum Algorithms: The specifics and practicalities of value" - Dr. James Cruise, Cambridge Consultants
  • Panel Discussion featuring the speakers and Dr Ieva Čepaitė, Phasecraft

The presenters will be in the room and we would encourage you to attend in person if you can.

In person attendees should bring some form of ID to show the building security.

To register to this event you do not need to be an RSS member, however the system will require you to create a user if you are not a member.

This event is with no fee.

 
  • Dr. Benedict Hazel is a theoretical chemist turned IT consultant, working as a manager in the Software Engineering Practice at Avanade.  He specialises in the Microsoft .NET and Azure ecosystems and is keen on embracing innovation. [https://www.linkedin.com/in/benedict-hazel-05b98263/]
  • Fergus Kidd is Avanade’s Emerging Technology Research and Development Engineering lead, He works on developing assets and demonstrations around new and future technologies, focussing on innovative use cases to show the power of new technologies in the enterprise. Fergus has an academic background in physics, and a professional background in data science, and artificial intelligence. [https://www.linkedin.com/in/fergus-kidd-1a222667/]
  • Deepa Shinde has 19 years of experience in the IT industry and 5 years teaching STEM subjects. Deepa is part of Microsoft's Innovation team, serving as the Lead Pharma AI Architect for Microsoft UK. As one of the early Quantum Ambassadors at Microsoft, she is certified to engage with customers on both quantum computing and Microsoft's Quantum initiatives. [https://www.linkedin.com/in/deepashinde22/]
  • Dr. James Cruise is the Technical Lead for quantum computing at Cambridge Consultants, developing novel capabilities to deliver early commercial value for clients. He combines deep technical expertise in quantum computing with an understanding of clients’ challenges to identify and develop key value propositions. James has a particular interest in understanding how to deliver value through practical hybrid quantum-classical computing and supporting the most ambitious clients in bringing about the quantum revolution sooner. Recently, he co-authored a report with colleagues on Capgemini on "Seizing the commercial value of quantum technology". (https://www.capgemini.com/insights/research-library/seizing-the-commercial-value-of-quantum-technology/) [https://www.linkedin.com/in/james-cruise/]
  • Dr. Ieva Čepaitė is a Quantum Algorithms Scientist at Phasecraft, a quantum computing company based in the UK and US. During her career, she worked on various topics within the field of Quantum Information, including adiabatic protocols, optimisation, machine learning and condensed matter physics.
    https://www.linkedin.com/in/ieva-c-121a57138/
 
Contact Eli King for RSS Business & Industrial Section
 
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