首页|University of Melbourne Researcher Publishes New Data on Machine Learning (Drast ic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning)
University of Melbourne Researcher Publishes New Data on Machine Learning (Drast ic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Parkville, Australia, by NewsRx editors, the research stated, “Quantum machine learning (QML) is emerging as an application of quantum computing with the potential to deliver quantum advantage, but its realization for practical applications remains impeded by challenges.” Financial supporters for this research include Australian Army Quantum Technology Challenge; Australian Research Council.
University of MelbourneParkvilleAust raliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine Learning
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