Topics
Background information for the use of Boulder Opal in quantum research
Basics
Learn the basic topics behind using Boulder Opal to Topics.
Boulder Opal overview
An introduction to the capabilities and benefits of Boulder Opal
Boulder Opal for quantum computing
An introduction to the application of Boulder Opal for key tasks in quantum computing
Boulder Opal for quantum sensing
An introduction to the application of Boulder Opal for augmenting the performance of quantum sensors in real environments
Boulder Opal workflows for research
Understand how and when to integrate Boulder Opal into your research: for theorists or experimentalists, new hardware, or established systems
AI automation for quantum experiments
An overview of how Boulder Opal's AI tools can be used to automate the tune-up and optimization of quantum hardware systems
Computational resources in Boulder Opal
Understanding the Boulder Opal computing environment and utilizing the compute resources effectively
Simulation and optimization benchmarks with Boulder Opal
Evaluating Boulder Opal performance across multiple benchmarks
Visualizing your data using the Q-CTRL Visualizer
An introduction to the purpose and functionality of the Q-CTRL Visualizer
Libraries of signals for Boulder Opal
Create parameterized signals for simulation and optimization
Understanding graphs in Boulder Opal
An overview of how Boulder Opal uses computational graphs to represent systems and perform operations
Working with time-dependent functions in Boulder Opal
An overview of how time-dependent functions are represented in Boulder Opal graphs
Improving calculation performance in graphs
Tips and tricks to speed up your calculations in Boulder Opal
Batching and broadcasting in Boulder Opal
Approaches to handle multidimensional data efficiently in graphs