An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment
A quantum machine learning model, specifically an IQP Born Machine, was developed to generate calorimeter images for high-energy physics. The model was deployed on a 64-qubit system using compiled IQP circuits for efficient execution. The work was published as a preprint on arXiv.
OutlookPlausible
The compiled-IQP deployment method could be extended to larger qubit counts and more complex imaging tasks, offering a viable quantum alternative for fast event simulation in particle physics.