Calculate with graphs
Learn how Boulder Opal uses computational graphs to represent systems and perform operations
Get an introduction to graphs in Boulder Opal
An overview of how Boulder Opal uses computational graphs to represent systems and perform operations
Implement time-dependent functions in Boulder Opal
An overview of how time-dependent functions are represented in Boulder Opal graphs
Leverage predefined signals in graphs
Create parameterized signals for simulation and optimization
Improve calculation performance in graphs
Tips and tricks to speed up your calculations in Boulder Opal
Understand batches and broadcasting in Boulder Opal
Approaches to handle multidimensional data efficiently in graphs
How to represent quantum systems using graphs
Represent quantum systems for optimization, simulation, and other tasks using graphs
How to perform optimization and simulation in the same calculation
Perform calculations using optimization results in a single graph
How to reuse graph definitions in different calculations
Reapply graph nodes for multiple applications
How to create analytical signals for simulation and optimization
Use predefined signals from Boulder Opal
How to define continuous analytical Hamiltonians
Use analytical expressions to construct your Hamiltonian
