This repository is the official implementation of "eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels", published in the Thirteenth ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
Abstract: Quantum federated learning (QFL) is a combination of distributed quantum computing and federated machine learning, integrating the strengths of both to enable privacy-preserving ...
Defiance Quantum ETF's diversified quantum computing exposure. Click for why QTUM's $3B growth matters and how a 2026 ...
Exchange-traded funds (ETFs) can be a great way of gaining access to a complex industry that holds plenty of long-term potential. Quantum computing is one of the world's most intriguing emerging ...
A team of Australian and international scientists has, for the first time, created a full picture of how errors unfold over time inside a quantum computer—a breakthrough that could help make future ...
There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...
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