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Training a quantum neural network requires only a small amount of data, according to a new proof that upends previous assumptions stemming from classical computing’s huge appetite for data in …
Scientists have developed a new machine-learning platform that makes the algorithms that control particle beams and lasers smarter than ever before. Their work could help lead to the development of …
As the tools for science (such as telescopes, particle accelerators, and gene sequencers) have become more sophisticated and exacting, the data that we are able to gather from them is …
Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as …
Machine learning is emerging as a useful tool in the development of quantum computing platforms, particularly in optimizing the methodologies used to simulate quantum systems and speed the time it …
The United States Patent and Trademark Office (USPTO) has extended the deadline for submitting comments on the state of patent eligibility jurisprudence, and its effect on investment and innovation in …
