JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks

arXiv:2403.11048v1 Announce Type: cross
Abstract: Despite the success of Quantum Neural Networks (QNNs) in decision-making systems, their fairness remains unexplored, as the focus primarily lies on accuracy. This work conducts a design space exploration, unveiling QNN unfairness, and highlighting the significant influence of QNN deployment and quantum noise on accuracy and fairness. To effectively navigate the vast QNN deployment design space, we propose JustQ, a framework for deploying fair and accurate QNNs on NISQ computers. It includes a complete NISQ …

abstract accuracy arxiv automated cs.cy cs.lg decision decision-making systems deployment design exploration fair fairness focus highlighting influence lies making networks neural networks noise quant-ph quantum quantum neural networks space success systems type work