Cutting through the noise: AI enables high-fidelity quantum computing: Researchers at SANKEN use machine learning classification to dramatically improve accuracy when reading the spin states of electrons on quantum dots, which may lead to more robust and practical quantum computing

SANKEN researchers achieved over 95% accuracy when reading the output spin states of qubits by implementing machine learning. By using deep neural networks, the team was able to overcome noise in both simulated and real data sets from quantum dots. This work may lead to a proliferation of real-world quantum computers.