Accelerating the path to useful Quantum Error Correction

While quantum computing research progresses and moves us closer to quantum advantage, it also faces the challenge of error and decoherence. So finding the right quantum error correction strategies is an important part of realizing the full potential of quantum computers.

In this webinar, we are joined by Dany Lachance-Quirion, VP of Quantum Hardware at Nord Quantique to explore exciting developments in quantum computing research. We will also learn firsthand how Nord Quantique is making progress in the quantum error correction space using Boulder Opal, our computational tool for quantum control.

Boulder Opal is a versatile Python package that provides everything you need to accelerate research and improve quantum hardware performance through the power of quantum control and automation. It delivers comprehensive functionality in system characterization, dynamic simulation, error-robust control design, performance validation, and AI-based experimental automation.