On the 16th at 09:15, our CEO, Shai Machnes, will discuss “Leveraging machine learning and digital twins to characterise and improve gate fidelities in quantum computers”. Discover how QruiseML combines advanced model learning techniques with experimental data to create highly accurate digital twins of quantum devices. These models generate detailed error budgets, allowing users to quantify the sources of error and offering actionable insights to mitigate them. The result? Significantly enhanced gate fidelities and a leap forward in device performance.
Join us at #TPS2025, 14-16 of January in Taiwan 🇹🇼
Discover how QruiseML uses advanced model learning techniques to create highly accurate digital twins of quantum devices, allowing you to identify and mitigate sources of error, leading to significantly enhanced gate fidelities 🚀✨
#QuantumComputing