New European Research Project: Neural Networks for Quantum Error Correction

The launch of Project ARTEMIS was announced by Quantum Machines, creator of the Quantum Orchestration Platform. It’s a project in joint cooperation with Alice&Bob, a European developer of quantum processors, and top-European quantum computing research groups led by Prof. Benjamin Huard of the Ecole Normale Supérieure de Lyon and Prof. Florian Marquardt of the Max Planck Institute for the Science of Light. The goal of the three-year research is to develop and market a revolutionary new method to quantum control based on Neural Networks.

Dr. Yonatan Cohen, CTO at Quantum Machines.
“The future viability of practical quantum computing is heavily dependent on achieving error correction in a consistent and efficient way,” said Dr. Yonatan Cohen, CTO at Quantum Machines.

Project ARTEMIS is set to solve two of quantum computing’s most difficult problems: quantum error correction and optimal control. The study will focus on the construction of a quantum controller that includes real-time neural networks capable of creating commands in order to achieve this. This is expected to alleviate one of the most significant barriers in the scaling up of error correction and optimum control systems.

“The future viability of practical quantum computing is heavily dependent on achieving error correction in a consistent and efficient way,” said Dr. Yonatan Cohen, CTO of Quantum Machines. “We expect the neural networks being developed as part of ARTEMIS to help improve our control over larger numbers of qubits, even in the face of environmental decoherence, to help facilitate the real-world deployment of quantum computers.”

“Alice&Bob’s roadmap is predicated on a lean inspiration: we aim to reduce the minimum quantum resources required to build a fault-tolerant quantum computer,” said Dr. Théau Peronnin, CEO of Alice&Bob. “By making control more efficient, ARTEMIS advances that philosophy outside the cryostat and brings the reality of practical quantum computing one step closer.”

Universal Quantum Controller

The following are the project’s projected outcomes:

  • The implementation of the novel technique on a range of quantum processors and devices using a universal quantum controller with a user-friendly interface and associated open-source code libraries.
  • The public release of a cloud-based quantum processor with a unique user interface that can create and execute a wide range of real-time neural networks. Even if they don’t have direct access to quantum hardware, researchers will be able to investigate the new method to practical quantum computing and quantum sensing.

In the disciplines of microwave engineering, machine learning, control theory, experimental quantum physics, commercial product design, and implementation, the project will draw on the combined knowledge of the partnering firms and institutions. Quantum computers at the industrial level will be utilized to fulfill the project’s full potential.

“We expect neural networks to help identify new strategies for quantum control,” said Benjamin Huard, Professor at Ecole Normale Supérieure de Lyon in France. “In particular, we expect a sizable improvement for discovering the optimal control laws in imperfect experimental settings. We are excited to gather such a strong consortium to test these ideas experimentally and build useful tools for quantum computing.”