AI Powered Verusen and Machine Compare Partnership Targets Supply Chain Pain Points

Researchers at the US-based Lawrence Berkeley National Lab (LBNL) recently reported a new approach to error mitigation in a quantum computer (QC) that targets error-producing noise, a ubiquitous problem that can severely limit the performance and utility of existing and near-future quantum computers. The method developed at LBNL consists of taking an initial noisy target circuit and constructing an analogous estimation circuit that is configured specifically for accurate noise characterization. The information gathered from running the estimation circuit is then applied to correct the noise in the original target circuit.

Building on its Budget 2021 commitment to launch a seven year $360 million National Quantum Strategy, the Government of Canada recently stood up a public survey website to gather insights on how to implement the plan. The survey covers a comprehensive set of issues including best practices on academic, government and private sector partnerships, talent and workforce challenges and opportunities, mechanisms to ensure equity, diversity, and inclusion, adoption of quantum technologies by Canadian entities, and identification of any significant gaps, barriers, or challenges that could hinder Canadian efforts to become a global leader in quantum technologies.