Researchers have found that quantum error mitigation techniques are not a long-term solution for addressing errors in quantum computation. This method becomes inefficient as…
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A team at Terra Quantum AG designed a parallel hybrid quantum neural network and demonstrated that their model is “a powerful tool for quantum…
Dr Arnu Pretorius from Stellenbosch University was awarded the Thamsanqa W. Kambule Award for the best doctoral dissertation in the computational and statistical sciences…
MIT researchers have developed a technique called Probably Approximately Correct (PAC) Privacy, which enables users to add the smallest amount of noise possible to…
Robustify is a GitHub repository focused on evaluating the effects of adding structurally conserving noise to data. It provides a comprehensive set of tools…
Support Vector Machines (SVMs) are a powerful and widely used machine learning algorithm for classification. SVMs are supervised learning algorithms that can be used…
This article discusses the development of Information-Set Deep Learning (ISDL) architectures, which are designed to address the critical problem of the absence of robust…
This paper presents a framework for testing and benchmarking the robustness of machine learning models by simulating biological sequences with errors. It introduces several…