By 2028, quantum information science is expected to have entered the early fault-tolerant era, driven by rapid advances in hardware and quantum error correction. The aim of this program is to chart the frontiers of quantum computing, with a particular emphasis on the scientific foundations of quantum advantage. The broad goal is to integrate three active and complementary streams of research: (i) Quantum Simulation; (ii) Bridging Quantum Error Correction and Early Fault-Tolerant Algorithms; and (iii) Quantum Learning.

With these three streams as the program’s backbone, the unifying theme will be to understand and demonstrate quantum advantage: the regime where quantum algorithms can outperform the best classical methods in practically relevant applications. The program will explore how fault-tolerant algorithms for simulation and learning can be designed, benchmarked, and realized on emerging hardware, and how advances in error correction can be leveraged to bridge the gap between theoretical models and experimental implementation.

These research themes do not exist in isolation but are deeply connected to each other. Realizing useful quantum advantage on digital quantum computers requires a combination of advances in quantum algorithms and quantum error correction. Quantum learning provides the essential tool to understand the hardware specifics necessary for quantum error correction, and is also connected to quantum simulation since it can oftentimes be seen as the inverse problem of quantum simulation.

The program offers participants the opportunity to learn from diverse research directions. It will convene leading researchers from mathematics, physics, computer science, and industry to define the capabilities of quantum computing in this new phase, to identify the most promising directions for fault-tolerant algorithms, and to cultivate the cross-disciplinary tools required to realize them.

More information coming soon.