Stefano Carrazza

Benchmarking machine learning models for quantum state classification

2023 · arXiv (Cornell University)

Quantum computing is a growing field where the information is processed by two-levels quantum states known as qubits. Current physical realizations of qubits require a careful calibration, composed by different experiments, due to noise and …

Qibosoq: an open-source framework for quantum circuit RFSoC programming

2023 · arXiv (Cornell University)

We present Qibosoq, an open-source server-side software package designed for radio frequency system on chip (RFSoC) for executing arbitrary pulse sequences and algorithms on self-hosted quantum processing units using only open-source software. Qibosoq connects the …

Designing a machine learning-driven, cross-hardware emulator for noisy quantum computers with gate-based protocols

2026 · Quantum Science and Technology

Abstract Quantum computer emulators model the behavior and error rates of specific quantum processors. Without accurate noise models in these emulators, it is challenging for users to optimize and debug executable quantum programs prior to …