European Project Artemis Launches to Explore Using Neural Networks for Quantum Error Correction a...

Participants in the three-year project include Quantum Machines, Alice&Bob, and research groups from Ecole Normale Supérieure de Lyon and the Max Planck Institute for the Science of Light. The goal of the project will be to find ways to leverage neural networks to help identify new strategies for quantum control. The project will have several stages. The first stage will use neural networks to determine the appropriate control pulses for creating and manipulating specific qubit states. Following stages will use neural networks to find the best quantum error correction protocols to prepare, measure and act on multiple qubits. This project will leverage the capabilities of Quantum Machine's pulse processor and programming language which have been optimized for very low latency within the coherence time of the qubits. This is an important requirement for use with error correction algorithms. In addition, the approaches developed during this project will be made available to end users who may want to optimize the use of the neural network routines for their particular application. This neural network routines should also prove to be important for Alice&Bob because they are pursuing development of error corrected machines using a hardware approach called cat qubits. They are planning on delivering their first commercial quantum computer in 2023. You can read more about this project in an announcement provided by Quantum Machines that can be accessed here.

April 14, 2022