Quantum Computing in Simulation ¶
In recent years, quantum computing has made tremendous improvements and moved into more feasible areas due to building of various quantum computers outside of military (e.g. Google). This has seen the rise of various quantum computing frameworks such as Q# by Microsoft.
This thesis should investigate the nature of quantum computing as oposed to classical computing and its applicability to simulation in general and ABS in particular. A starting hypothesis is that due to ABS inherent stochastic nature, requiring in general to run a large number of replications, quantum computing, itself being stochastic in nature, is a new and more effective way of dealing with this kind of complexity, making large number of replications effectively computable.
- Interest in quantum computation and willingness to investigate a new computing paradigm.
- Knowledge of Agent-Based Simulation.