Challenges in Simulating Quantum Matter
(CSQM)

Understanding entangled quantum systems with many interacting particles is a major challenge in physics, crucial for discovering new phases of matter, designing advanced materials, and driving quantum technology. 

• In equilibrium, quantum correlations lead to emergent exotic phases like topological insulators, high-temperature superconductors, and more. 

• Out of equilibrium, the growing quantum entanglement challenges our understanding.

Recent advancements in both quantum and classical simulations are pivotal in addressing the complex challenges of modern quantum science. Quantum simulations will offer unique insights into problems that are computationally intensive or even intractable for classical systems, particularly in studying non-equilibrium systems and quantum phase transitions. Meanwhile, classical simulation techniques—like tensor networks and machine learning algorithms—already enable efficient analysis of large-scale quantum systems, bridging the gap between theoretical models and experimental data. 

This workshop will bring together experts from quantum and classical computing, discussing novel theoretical developments and their practical applications in fields like condensed matter, quantum chemistry, and materials science. Researchers from academia and industry will collaborate to explore the future of quantum simulation over three days of discussion and idea exchange.