PARIS, November 19, 2024 -- Alice & Bob, a global leader in the race for fault-tolerant quantum computing, has announced the release of Dynamiqs, a pioneering quantum simulation library. Dynamiqs integrates NVIDIA accelerated computing, driving quantum simulations beyond state-of-the-art levels of performance and setting the stage for major breakthroughs in quantum research.

The team composed by researchers from Alice & Bob, University of Sherbrooke, Yale University, INRIA, Ecole de Mines, and ENS, recognized the need for a disruption in the quantum simulation space, leading to the creation of Dynamiqs. From the beginning of development, it was clear that GPUs could provide huge benefits and accelerate simulations at scale. Based on this observation, the team developed Dynamiqs based on the latest machine learning library developed by Google AI, JAX, and on Diffrax, a state-of-the-art library for differential equations. The NVIDIA-powered GPU acceleration increases the efficiency of matrix operations—a critical factor in quantum simulations—by up to 60x, allowing Dynamiqs to simulate large, complex systems such as Quantum Processing Units (QPUs) that involve multiple qubits and physical hardware components like resonators. Dynamiqs underscores Alice & Bob’s core business as QPU developers and cements the company’s role in the quantum computing industry.

Dynamiqs will enable rapid and efficient quantum simulations, which are notoriously complex, particularly when dealing with large Hilbert spaces, open systems interacting with their environments, and fast time-dependent dynamics. These challenges often push conventional computing resources to their limits, resulting in slow performance and inefficient scaling.

Dynamiqs is an open-source Python library sponsored by Alice & Bob that enables high-speed simulation of open and closed quantum systems leveraging NVIDIA accelerated computing. Dynamiqs is engineered to address the limits of traditional quantum simulations libraries by leveraging two key features: GPU acceleration and differentiability, providing researchers with both improved and completely new functionalities.

• GPU acceleration allows researchers to:
• Accelerate large-scale simulations
• Extend the size of systems that can be practically simulated
• Perform parameter sweeps
• Differentiability enables computing gradients for:
• Quantum optimal control
• Parameters estimation
• Quantum state tomography

“Dynamiqs brings unprecedented speed to quantum simulations, empowering researchers and engineers to explore new realms of quantum optimization and system control,” said Ronan Gautier, Part of the core development team for Dynamiqs and Theoretical Physicist at Alice & Bob. “Dynamiqs was designed for performance, and with GPU acceleration, we can now tackle simulations that were previously infeasible.”

“Alice and Bob’s work shows how simulations powered by NVIDIA accelerated computing are increasingly critical to the future of quantum computing,” said Tim Costa, Senior Director CAE EDA & Quantum at NVIDIA. “Dynamiqs is prescient in leveraging accelerated computing to drive research breakthroughs within the quantum computing community.”