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AUTOMATED CLOSED-LOOP HARDWARE OPTIMIZATION
Register to join us for a webinar on Automated Closed-Loop Hardware Optimization. Hosted by Dr Michael Hush, Chief Scientific Officer at Q-CTRL, and Dr Yuval Baum, Lead Quantum Automation Scientist at Q-CTRL.
AGENDA
How to perform automated closed-loop hardware optimizations.
The webinar will include a conversational Q&A between the presenters and will field audience questions.
Dr Michael Hush
Chief Scientific Officer at Q-CTRL
Dr Yuval Baum
Lead Quantum Automation Scientist at Q-CTRL
PRESENTED BY
WHAT YOU WILL LEARN:
How you can use BOULDER OPAL's machine learning tools to optimize hardware directly in experiment and without the need for user intervention.
How to integrate automated closed-loop optimization with cloud quantum computers to design better quantum logic gates - even if you don’t know much about designing quantum logic gates!
How different algorithms and approaches to performing closed-loop hardware optimization compare in efficiency and effectiveness.
What kinds of parameters can be optimized autonomously: including atomic-gas cooling and transport, storage efficiency of quantum memories, and quantum logic operation fidelity.
Quantum software or algorithm developer who wants to learn how to improve the performance of multi-qubit gates in quantum algorithms without the need for device-specific knowledge.
PhD candidate or postdoc working on quantum technologies who wants to automate parts of their experiment and improve hardware performance.
Quantum hardware engineer who wants to deploy the most efficient automated optimization algorithms to rapidly bring their devices online.
