Quantum annealing solves a combinatorial feature-map selection problem for CNNs, yielding improved class disentanglement over GradCAM and GradCAM++ in the reported evaluation.
On the computational complexity of ising spin glass models.Journal of Physics A: Mathematical and General15, 3241 (1982)
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Numerical simulations confirm that the 3D SU(2) gauge glass model retains O(4) universality for the ferromagnetic-paramagnetic transition under weak disorder and shows disorder-independent universal behavior at the paramagnetic-spin glass transition.
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Towards interpretable AI with quantum annealing feature selection
Quantum annealing solves a combinatorial feature-map selection problem for CNNs, yielding improved class disentanglement over GradCAM and GradCAM++ in the reported evaluation.