We consider the problem of minimizing a continuous function given quantu...
Quantum algorithms for optimization problems are of general interest. De...
Recent results suggest that quantum computers possess the potential to s...
Adversarial attacks hamper the functionality and accuracy of Deep Neural...
Quantum simulation is a prominent application of quantum computers. Whil...
Escaping saddle points is a central research topic in nonconvex optimiza...
Deep neural networks (DNN) can achieve high performance when applied to
...
We initiate the study of quantum algorithms for escaping from saddle poi...
The problem of resolving virtual method and interface calls in
object-or...
Probabilistic game structures combine both nondeterminism and stochastic...