Variational Quantum Circuits
PulseAugur coverage of Variational Quantum Circuits — every cluster mentioning Variational Quantum Circuits across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New Quantum Graph Neural Network Framework Promises Scalability and Expressivity
Researchers have developed a novel message-passing quantum graph neural network (QGNN) framework designed for scalability and expressivity. This new QGNN is permutation equivariant and can be precisely positioned within…
-
New Quantum-Inspired Model Achieves Scalable Sequence Learning
Researchers have developed a new quantum-inspired sequence learning framework called gated QKAN-FWP, which integrates Fast Weight Programmers (FWPs) with Quantum-inspired Kolmogorov-Arnold Networks (QKANs). This approac…
-
Quantum Machine Learning thesis explores industrial applications
A new thesis explores Quantum Machine Learning (QML) for industrial applications, addressing challenges in trainability, expressivity, and classical simulation resistance. It introduces subspace-preserving QML algorithm…
-
Quantum circuits enhance hierarchical reinforcement learning agents, saving parameters
Researchers have developed a hybrid hierarchical reinforcement learning agent that integrates variational quantum circuits into its architecture. This approach substitutes classical components with quantum circuits for …