Introducing DMRjulia v1.0 - Tensor Network Computations in Julia

Discover the latest developments in tensor network computations with the introduction of DMRjulia v1.0. Explore the fundamentals of this powerful library, designed for efficient modeling of quantum systems. Learn about the software's optimization for shared memory environments and high-performance computing clusters. Gain insights into the design principles native to Julia, with practical lessons and recommendations for implementation. Delve into new capabilities and cutting-edge research applications of DMRjulia in scientific studies. Understand the library's performance improvements through parallelism and parameter tuning. Get a preview of upcoming features and helper tools scheduled for release. Benefit from the presenter's experience in optimizing the software for specific hardware infrastructures, including the Digital Research Alliance of Canada's systems.