The deployment of a universal quantum controller with a user-friendly interface and accompanying open-source code libraries for the implementation of the new approach on a variety of quantum processors and devices.The expected outcomes of the project are: The use of neural networks is expected to enhance the accuracy and performance of quantum processors, and heavily reduce the classical control resources needed, which is a true bottleneck towards scaling up error correction and optimal control methods. The three-year project will focus on the development of a quantum controller that incorporates real-time neural networks capable of generating controls. In order to overcome these challenges, Quantum Machines and Alice&Bob, a leading European developer of quantum processors together with top European quantum computing research groups have launched a project to establish and commercialize a radically new approach to quantum control based on Neural Networks.
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Helping achieve the full potential of any quantum processor, the QOP allows for unprecedented advancement and speed-up of quantum technologies as well as the ability to scale into the thousands of qubits.ĭespite this, there are still two main challenges in quantum computing –quantum error correction and optimal control. This includes quantum error correction, multi-qubit calibration, and more. The full-stack hardware and software platform is capable of running even the most complex algorithm. Created by Quantum Machines, the platform fundamentally redefines the architecture of the quantum control stack for the control and operations of quantum processors. And this is where the Quantum Orchestration Platform (QOP) comes in.
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