Bringing quantum-classical processing into the heart of real-time quantum control

While Quantum computers have the potential to solve important problems beyond the reach of any classical technology, error rates pose a great challenge towards the realization of a practical machine.

In this workshop, we focus on the classical control stack, which is the enabler for mitigating these error sources in building a practical quantum computer, and demonstrate how it is implemented on QM’s Quantum Orchestration Platform (QOP) to enhance performance and optimize results.

Quantum error correction (QEC) reduces the error rates by encoding quantum information in logical qubits and is thus considered the most promising path towards realizing the full potential of quantum computers. However, many future applications of viable quantum computing will require logical error rates on the order of 10^-15, while even the most advanced quantum processors currently achieve physical error rates in the 10^-3 regime. This gap introduces great challenges for practical QEC as the overheads in both quantum and classical control resources can become very large. Moreover, these overheads can introduce new error channels, making QEC even more complex.

While significant challenges remain in designing the quantum hardware necessary for QEC, addressing the requirements on the classical control side is equally important. A highly flexible control platform that allows programming and executing QEC protocols from the software layer while utilizing demanding real-time processing and control flow is required.

We will discuss novel adaptive error syndrome measurements as well as repeat until success protocols introduced in recent works. We will also introduce new protocols we recently developed, and demonstrate their implementation on the QOP.