5 papers · 1 filter
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…
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…
Benchmarking the performance of a high-Q cavity qudit using random unitaries
Nicholas Bornman, Tanay Roy, Joshua A. Job +4
High-coherence cavity resonators are excellent resources for encoding quantum information in higher-dimensional Hilbert spaces, moving beyond traditional qubit-based platforms. A n…
End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml
Giuseppe Di Guglielmo, Botao Du, Javier Campos +10
We present an end-to-end workflow for superconducting qubit readout that embeds co-designed Neural Networks (NNs) into the Quantum Instrumentation Control Kit (QICK). Capitalizing…
Inference of response functions with the help of machine learning algorithms
Doga Murat Kurkcuoglu, Alessandro Roggero, Gabriel N. Perdue +1
Response functions are a key quantity to describe the near-equilibrium dynamics of strongly-interacting many-body systems. Recent techniques that attempt to overcome the challenges…