Pasqal has published a paper in the APS Physics journal presenting a new machine learning protocol called Quantum Evolution Kernel (QEK) for measuring similarity between graph-structured data on quantum computers. QEK is stable against detection error and comparable to state-of-the-art graph kernels on classical systems.
Researchers at Q-CTRL and University of Sydney have developed a machine learning technique to identify sources of error in quantum computers. This technique enables hardware developers to pinpoint performance degradation with unprecedented accuracy, accelerating the development of useful quantum computers.
The documentary highlights key sustainability topics, including reducing energy requirements for complex computations and minimizing quantum computing's own environmental impact. Industry leaders from global tech giants to start-ups assess the industry's potential to address global sustainability issues.