We introduce a new quantum R\'enyi divergence $D^{\#}_{\alpha}$ for $\alpha \in (1,\infty)$ defined in terms of convex optimization program. This has several desirable computational and operational properties such as an efficient semidefinite programming representation states channels, chain rule property. An important property this is that its regularization equal to the sandwiched (also known...