3 papers
quant-ph2025
Machine Learning for Arbitrary Single-Qubit Rotations on an Embedded Device
Madhav Narayan Bhat, Marco Russo, Luca P. Carloni +4
Here we present a technique for using machine learning (ML) for single-qubit gate synthesis on field programmable logic for a superconducting transmon-based quantum computer based…
cs.AR2025
Lightweight Congruence Profiling for Early Design Exploration of Heterogeneous FPGAs
Allen Boston, Biruk Seyoum, Luca Carloni +1
Field-Programmable Gate Arrays (FPGAs) have evolved from uniform logic arrays into heterogeneous fabrics integrating digital signal processors (DSPs), memories, and specialized acc…
quant-ph2025
Fast Machine Learning for Quantum Control of Microwave Qudits on Edge Hardware
Flor Sanders, Gaurav Agarwal, Luca Carloni +3
Quantum optimal control is a promising approach to improve the accuracy of quantum gates, but it relies on complex algorithms to determine the best control settings. CPU or GPU-bas…