Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

no code implementations • 28 May 2024 • Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt Dubhashi, Alexandru Gheorghiu

In this work, we introduce two approaches that achieve a constant sample complexity, independent of system size $n$, for learning ground state properties.

A deep learning model for noise prediction on near-term quantum devices

2 code implementations • 21 May 2020 • Alexander Zlokapa, Alexandru Gheorghiu

We present an approach for a deep-learning compiler of quantum circuits, designed to reduce the output noise of circuits run on a specific device.

Quantum Physics