MicroLab

Research in Next Generation Intelligence for Microscopic Systems

MicroLab is run by Cal alumni and members from Berkeley Mathematics, Physics, and Computer Science.

We work at the intersection of computation and fundamental science — from quantum systems to learning algorithms, from micro structure to macro behavior.

Focus micro. Forecast MACRO.

Multi-dimensional Quantum Many-Body System Simulation with Modern Computational Techniques

Quantum Many-BodyMachine LearningLie AlgebraComputational PhysicsQuantum Chemistry

Quantum many-body systems play a central role in condensed matter physics, quantum chemistry, and emerging quantum technologies. However, the dimension of the Hilbert space describing these systems grows exponentially with system size, making accurate simulation one of the long-standing challenges in computational physics....

Formalization of the theoretical effectiveness of Intelligence and Optimization methods for Quantum Simulation

Numerical AnalysisOptimizationLogicAlgebraAlgorithm

Quantum simulation provides a powerful framework for studying complex quantum systems that are difficult to analyze using traditional analytical methods. Recent advances in computational techniques have enabled new approaches to exploring many-body quantum phenomena, yet many aspects of these methods remain poorly understood from a theoretical perspective. In particular, the effectiveness and reliability of large-scale simulation techniques often depend on intricate optimization processes and subtle structural properties of the underlying physical systems....