2024-12-12 –, Mission 2
Quantum science and technologies are rapidly developing and hold great potential to revolutionize numerous fields in academia and industry. As we progress, it is crucial to support education, awareness, and scientific curiosity in the topic. In this panel, we will discuss the current state of quantum computing and what this means for researchers interested in exploring and exploiting quantum technology.
In this panel, different players in the field of quanutm computing will exchange perspectives and ideas around questions like: How much should HPC-users know and care about quantum computing? Are researchers using quantum computers for research now? What type of research are they conducting? What is the current benefit (if any) of exploring this technology? Is there an advantage to use a quantum computer and not just simulator? How should you get involved in quantum computing? What are the biggest barriers for uptake? etc.
Nicolas Renaud is the Director of Technology of the Netherlands eScience Center. He is responsible for technology developments in all the research projects of the eScience Center. Aside from these activities, he his affiliated with the Quantum Application Lab, a cross institution initiaive that aims at devloping near-term quantum computing applications in the public and private sector.
Matthias Möller is Associated Professor in the Department of Applied Mathematics at Delft University of Technology. His research focusses on numerical methods for the computational analysis and optimisation of problems that are modelled by partial differential equations (PDE). He is particularly interested in the combination of classical numerical methods with modern scientific machine learning techniques. A second pillar of his research is the development of quantum and quantum-inspired numerical methods for PDE analysis and optimization.
Allan Francis Beechinor is an experienced professional, with over 20 years of technology experience, primarily known for his expertise in the field of Artificial Intelligence (AI), Quantum computing, data analytics, and digital transformation. He has an extensive background in leading and developing AI-driven technologies and solutions across various industries.
Key Areas of Experience:
1. Artificial Intelligence and Machine Learning:
o Allan F. Beechinor has a deep understanding and experience in AI and machine learning technologies. He has worked on developing and deploying
AI-driven solutions that optimize business processes, enhance decision-making, and drive innovation.
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Data Analytics:
o His experience includes significant work in data analytics, where he has helped organizations leverage data to gain actionable insights, improve operational efficiency, and support strategic initiatives. -
Digital Transformation:
o Allan F Beechinor has played a crucial role in guiding businesses through digital transformation journeys. His expertise lies in helping companies adopt new technologies and methodologies to stay competitive in the digital age. -
Entrepreneurship:
o He is also recognized for his entrepreneurial skills, having co-founded and led successful startups focused on AI and technology solutions. His leadership and vision have been instrumental in driving these ventures forward. -
Leadership and Strategic Vision:
o Allan F Beechinor has held various leadership positions, where he has demonstrated his ability to set strategic directions, build high-performing teams, and manage large-scale projects. -
Industry Impact:
o Through his work, Allan F Beechinor has contributed significantly to the advancement of AI and digital technologies, making a notable impact on industries such as finance, healthcare, and manufacturing.
Notable Positions:
• CEO and Co-Founder of Quantum Gen LTD and EmergeGen AI: Allan F Beechinor is the CEO Quantum Gen, a company specializing in AI-driven solutions for data driven solutions and security. Under his leadership, Quantum Gen has grown rapidly, gaining recognition for its innovative approaches to quantum computing use cases.
Achievements:
• Awards and Recognition: Allan Beechinor's work has earned him several accolades in the tech industry. He is known for his contributions to the development of AI solutions that prioritize ethical considerations and data privacy.
• Public Speaking and Thought Leadership: He is also a sought-after speaker and thought leader, often participating in conferences and panels on AI, data privacy, and the future of technology.
Educational Background:
• Allan F Beechinor has a strong educational foundation in technology and business, which has supported his career in AI and entrepreneurship. His experience has provided him with the theoretical and practical knowledge necessary to innovate and lead in his field.
Allan Francis Beechinor's experience and expertise make him a prominent figure in the AI, Quantum computing and digital transformation space, with a track record of driving significant advancements in technology and business strategy.
David studied physics at LMU Munich before graduating from TU Delft working on simulating quantum networks. Since 2023 he has worked for SURF as a quantum technology advisor and is leading the QCINed testbed deployment in the Utrecht-Amsterdam area.
Evert is an assistant professor at Leiden University, where is a group leader in the Applied Quantum Algorithms (aQa) division. His research focuses on the application of machine learning techniques to quantum physics, in order to design, optimize and control quantum systems. He also researches practical benefits of quantum machine learning in the form of collaborations with industrial or governmental parties. The framework of gamification is prominent in his research group, serving as an excellent playground for developing quantum control and interpretable quantum AI questions.