Changelog

Boulder Opal 20.1.1

February 10, 2023

What's new

• We've deprecated the plot_smooth_controls and plot_cost_history functions in the Q-CTRL Visualizer, and they will be removed in the future. Please use plot_controls and plot_cost_histories instead.
• We've added a population_size parameter to the CMA-ES optimizer. You can use this to tweak the search behavior of the optimization.
• We've added the following to the documentation:
  • We’ve updated and simplified the Boulder Opal overview topic with the latest product capabilities.
  • We've improved and simplified the examples in the How to represent quantum systems user guide.
  • We've overhauled the look of the Reference documentation.

Boulder Opal 20.1.0

January 19, 2023

What's new

• The Q-CTRL Python package now supports Python 3.11. Note that we will soon remove support for Python 3.7 since it will reach its end-of-life status on June 26th, 2023.
• When using the closed-loop optimization function, you can now cancel the calculation with a KeyboardInterrupt. The optimization will stop and return the best results obtained thus far. You can throw a KeyboardInterrupt by pressing control+C when running a Python script, or interrupting the kernel when running a Jupyter notebook.
• We've added an application note on designing robust Rydberg blockade two-qubit gates in cold atoms.

Boulder Opal 20.0.2

January 3, 2023

What's new

• You can now pass list or tuple input for sample_times in graph nodes such as time_evolution_operators_pwc, state_evolution_pwc or sample_stf, simplifying the syntax for these operations when only a single sample is required.

Bug fixes

• Fixed an error where graph.state_evolution_pwc would fail when using an int krylov_subspace_dimension in eager graph execution mode.

Boulder Opal 20.0.1

December 21, 2022

What's new

• Upgraded gql package version to 8.1.0.

Boulder Opal 20.0.0

December 20, 2022

Breaking changes

• We've removed the optional initial_covariance parameter from the CMA-ES closed-loop optimizer.
• We've removed the action-export and action-input-export commands from the CLI tool.

What's new

• We've deprecated the rng_seed parameter of the closed-loop optimizer initializer types in favor of a seed parameter. The new parameter has the same behavior as the deprecated one. The deprecated parameter will be removed in the future.

Boulder Opal 19.7.3

December 9, 2022

Bug fixes

• We've fixed some broken links in the reference documentation.

Boulder Opal 19.7.2

December 8, 2022

What's new

• We've renamed the "pulses" toolkit to "signals". To update your code, change calls to, for instance, graph.pulses.gaussian_pulse_pwc to graph.signals.gaussian_pulse_pwc. You can see the updated reference documentation.
• We've added a segmentation parameter to graph.signals.square_pulse_pwc, graph.signals.gaussian_pulse_pwc, graph.signals.linear_ramp_pwc, and graph.signals.cosine_pulse_pwc. It allows you to choose between a uniform segmentation (default) and a minimal segmentation (reserving most of the segments for the non-constant parts of the signal). For more information, see the reference page of the nodes or of the segmentation type. You can also see an example in this user guide.
• You can now provide Tensor operators to operations creating SparsePwc nodes (graph.sparse_pwc_operator and graph.constant_sparse_pwc_operator). They will be internally converted into a sparse representation, and allows you to build the operators inside of the graph itself. You can see an example in this user guide.
• We've added a new function to the Visualizer to plot Wigner functions. You can see it in action in this application note.
• We've added the following to the documentation:
  • We've added a new user guide for the gradient-free optimizer, which is useful when the gradient is very costly to compute or inaccessible.
  • We've added a new application note on how to generate noise-robust gates for Rigetti Quil-T with Boulder Opal.
  • We've added examples of the new graph-based filter function and frequency-domain noise operator nodes. You can see some of them in this user guide and this application note.
  • We've updated the documentation to use the new filter function and frequency-domain noise operator nodes. You can see examples in this user guide.
  • We've improved the navigation of the user guides page with an updated organization for their categories.

Boulder Opal 19.7.1

November 22, 2022

Bug fix

• We've updated the qctrl-toolkit version to fix an import error.

Boulder Opal 19.7.0

November 18, 2022

What's new

• We've built a new graph-based gradient-free optimization function. It provides an alternative to gradient-based optimization when the gradient is inaccessible or very costly to compute.
• We've added three new graph operations:
  • You can compute the Wigner function associated with a density matrix with graph.wigner_transform.
  • You can calculate filter functions and their associated frequency-domain noise operators in graphs with the operations graph.filter_functions and graph.frequency_domain_noise_operator.
• The Q-CTRL Visualizer function plot_filter_functions now also accepts filter functions as exported from graph calculations.

Boulder Opal 19.6.2

October 27, 2022

What's new

• Upgraded gql package version to 3.4.0.