Alexander Hankin, Tufts University
Mark Hempstead, Tufts University
I too can Quantum! (I2Q) at ISCA 2021. Best project award winner.
Quantum computers (QCs) have quickly transitioned from the theoretical realm to being physically present in both academic and industry research labs. One of the most promising QC architectures to emerge is the ion trap architecture. Currently, there are no publicly available tools to evaluate the performance (timing) of such architecture which makes it difficult to conjecture about the scalability of the architecture to larger numbers of qubits. In this work, we propose building an open-source software-based timing model of an ion trap QC to evaluate its potential for scalability, especially with respect to performance.