3 papers - avg viability 2.7
A quantum-classical generative adversarial network for seismic data processing that leverages quantum mechanics to overcome the representational limitations of traditional neural networks.
A comprehensive review of generative systems for quantum circuit and code generation, highlighting gaps in practical deployment.
Developing noise-resilient quantum algorithms for multi-armed and stochastic linear bandits to improve performance on current quantum hardware.