Bootcamp: Quantum Algorithms For Near-Term Applications
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This bootcamp will provide a presentation and discussion on quantum algorithms for near-term applications.
In the near future quantum computations must account for the limitations of “Noisy Intermediate Scale Quantum” (NISQ) devices by reducing the number of qubits and gates and employing classical computers to perform significant parts of the calculations. Most quantum algorithms suitable for NISQ devices belong to the class of Variational Quantum Algorithms, which will be discussed and demonstrated via worked-out examples during this bootcamp.
Instructors
Dr. Franz Klein, HPC Engineer and Director of the National Quantum Laboratory at Maryland, has been active in software development and in particle/nuclear and quantum physics research for many years.
Alex Khan, a QLab fellow, is an advisor, entrepreneur, and educator in quantum computing, principal consultant at Aligned IT and CEO of ZebraKet.
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Logistics
Monday, September 9th 9:00AM - 12:00PM ET - at Quantum World Congress, Capital One Hall (7750 Capital One Tower Rd., Tysons, VA 22102)
Agenda
The bootcamp will cover a general introduction and overview of the following topics:
The bootcamp will comprise of a sequence of presentation and discussion sessions:
Overview of quantum algorithms
Variational Quantum Algorithms for quantum physics simulations (VQE)
Optimization problems (QAOA, QUBO)
Solving linear equations (VQLS)
Various machine learning use cases (QML & QNN).
Who Can Attend?
Any registered delegates of the Quantum World Congress who are interested in quantum algorithms are invited to attend. No prior knowledge of quantum information science or quantum physics is assumed.
Cost
This bootcamp is free of charge for all Quantum World Congress attendees.
Registration & PreRequisites
No prerequisites; Registration on a first-come, first-served basis.