Conceptual plot of the non-thermal states classified by QCNN.

Uncovering quantum many-body scars with quantum machine learning

Quantum convolutional neural networks successfully identify known quantum many-body scars with over 99% accuracy in simulations and 63% on IBM quantum hardware, while also discovering new non-thermal states that can be characterized as spin-wave modes of specific quasiparticles in complex quantum systems.