Freek Witteveen’s work sits at the intersection of physics, mathematics, and computer science – and he effectively aims to move ideas from one domain to another. Through the study of quantum tensor network states, he explores which quantum systems can be examined using a classical computer and which require quantum computation. This research is relevant for both quantum algorithm design and the development of classical algorithms for quantum systems.
Designing the conditions to simulate complex quantum systems
According to Freek, one of the most important applications of quantum computers is the simulation of complex quantum systems, such as molecules and materials, where quantum effects are significant. A key aspect of his research is developing algorithms that make these simulations more effective. “Current quantum computers are not yet outperforming classical computers, except in very exceptional cases,” says Freek, “But quantum computers are already influencing the current understanding of quantum physics by offering us an alternative computational perspective on quantum states.”
His work on tensor network states helps to understand the difference between states that can be efficiently described on a classical computer and states that require a quantum computer.
About the Top Talent Initiative
QDNL’s TTI programme is designed to support and accelerate the careers of exceptional early-stage quantum professionals in the Netherlands. The Top Talent Initiative helps promising researchers and innovators grow their impact, expand their networks, and contribute to the Dutch quantum ecosystem. Each selected talent receives funding, mentorship, and visibility within the national and international quantum community.
