We propose that by simulating the startup eco-system as a Brownian motion model with data driven drift and diffusion parameters analogous to methods used in stock analysis, we can provide more rigour and insight in this challenging decision-making scenario.

Given that the model is analogous to a well understood physical system that has quantum effects, we will also show that this method is amenable to using more computationally competitive quantum algorithms that have the potential to solve larger scale and currently intractable scenarios.

Achieving Policy Defined Networking for Military Operations Authors: Hung Xuan Nguyen, Michael Webb (The University of Adelaide, Australia); Sanjeev Naguleswaran (QSPectral Systems, Australia)

Abstract. In the past few years, significant progress has been made in software defined networking in a quest to increase automation, improve network agility and security, simplify network configuration and reduce resources to establish and maintain the network. There are now a vast number of studies exploring how to utilise policies to achieve these goals. Applying outcomes of these studies to military networks requires a clear understanding of military applications and available mechanisms to implement the appropriate policies in a software defined networking environment. In this paper, we identify several military networks where automatic policy defined networking is crucial. We further present a prototype policy defined networking solution that automatically translates high-level policies into device level implementations.