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Explore Carlo.jl, a high-performance Monte Carlo simulation framework for Julia, through this 29-minute conference talk from JuliaCon Global 2025. Begin with a comprehensive overview of Carlo.jl's key features and capabilities for building efficient Monte Carlo simulations. Learn from two distinct perspectives: first as an implementer developing Monte Carlo codes from scratch by creating callbacks for updates and measurements using Carlo.jl's framework, and second as a practitioner running existing implementations to calculate quantum magnet properties using the advanced StochasticSeriesExpansion.jl package built on Carlo.jl. Gain practical insights into leveraging Julia's performance advantages for Monte Carlo methods while understanding both the development and application aspects of this powerful simulation toolkit.
