Stay up to date with the latest Boulder Opal release notes
Boulder Opal 19.7.3
December 9, 2022
- We've fixed some broken links in the reference documentation.
Boulder Opal 19.7.2
December 8, 2022
- We've renamed the "pulses" toolkit to "signals". To update your code, change calls to, for instance,
graph.signals.gaussian_pulse_pwc. You can see the updated reference documentation .
- We've added a
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
SparsePwcnodes (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
- We've updated the
qctrl-toolkitversion to fix an import error.
Boulder Opal 19.7.0
November 18, 2022
- 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:
- 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
gqlpackage version to 3.4.0.
Boulder Opal 19.6.1
October 24, 2022
Boulder Opal 19.6.0
October 20, 2022
- We've improved the usability of the Q-CTRL Visualizer through a few changes:
figureparameter for all functions is now an optional keyword-only argument. This means you can omit it when calling, for instance,
plot_controls, and just pass the dictionary with your controls:
plot_controls(controls). You can still pass a figure for the function to place the plot in it, using its keyword:
- The default value of
y_axis_login plot_cost_history has been changed from True to False.
- The parameter
seqof plot_sequences has been renamed to
- We've added a new ions toolkit to streamline the workflow of performing calculations trapped ions systems in Boulder Opal. Find out more in the new tutorial
and the reference documentation
- We've added new graph operations to create displacement operators and squeeze operators in Fock spaces.
- We've added a
seedparameter to the calculate_optimization and calculate_stochastic_optimization functions. You can use it to obtain deterministic results from the initial values of optimizable graph nodes. Note that if your graph contains random operations , you need to set seeds for them as well for the optimization to be fully deterministic.
- We've added a
cost_toleranceparameter to the
calculate_optimizationfunction. You can use it to set an early stop condition for the optimizer, halting the optimization when the relative cost improvement over an iteration is smaller than the tolerance. See the reference documentation for more information.
- We've added two parameters to the superconducting toolkit
max_iteration_count: You can use this to set an early stop condition for the optimizer, halting the optimization if these many iterations have been taken.
cost_history: You can use this to retrieve the history of the cost function at each iteration during the optimization.
- See the reference documentation for more information.
- We've improved the performance of the neural network closed-loop optimizer up to 3X speed-up, especially for large test points, by introducing early stopping threshold and parallelizing training.
- We've made changes to the layout of the documentation in order to improve accessibility and ease of navigation. You can see them in the Boulder Opal documentation .
- We've added a new user guide on obtaining optimized controls using a Hann basis .
Boulder Opal 19.5.0
September 19, 2022
- We've added a new closed-loop optimization toolkit to streamline the workflow of setting up and running closed-loop optimizations in Boulder Opal. Find out more in the updated tutorial and user guide .
- We've removed the reminder about using
qctrl.get_resultthat was shown when running calculations on the cloud. You can find more information about retrieving results in this user guide .
- We've added the following new documentation
- New topic on libraries of pulses for Boulder Opal .
- New user guide on how to perform optimization and simulation in the same calculation .
- New user guide on how to reuse graph definitions in different calculations .
- New application note on performing noise spectroscopy in superconducting hardware .
Boulder Opal 19.4.0
September 2, 2022
- We have added a function to the Q-CTRL Visualizer to plot histograms of counts from quantum circuits: qctrlvisualizer.plot_bitstring_probabilities_histogram .
Boulder Opal 19.3.0
August 18, 2022
- You can now mute and unmute status messages when running calculations. See an example in this user guide .
- We have added a function that makes it easier for you to cite Boulder Opal in papers and other works. See an example in this user guide .
Boulder Opal 19.2.0
August 9, 2022
- We've added the Q-CTRL Visualizer package as a dependency of the Q-CTRL Python package. Now you can keep up-to-date with the Visualizer’s latest features without having to install or upgrade it separately.
Boulder Opal 19.1.0
August 8, 2022
- We've added four new non-graph pulses to the pulse library:
- The optimization algorithm CMA-ES is now available to choose among the options for closed-loop optimization. To use it, pass the object CmaesInitializer when using the Boulder Opal function qctrl.functions.closed_loop_optimization_step .
Boulder Opal 19.0.0
August 3, 2022
- We have removed the following deprecated graph operations and parameters:
- We have added two non-graph pulses to the pulse library:
- The message alerting you when there's a new version of the Q-CTRL Python package available now also contains a URL to this Changelog page.
Boulder Opal 18.9.0
July 27, 2022
- We've added new STF pulses in the pulse library.
- We've added non-graph pulses to the pulse library. You can use the Pulse class methods to sample and export them to your hardware.
- We've added an
initial_valuesparameter to graph.utils.real_optimizable_pwc_signal and graph.utils.complex_optimizable_pwc_signal nodes to initialize optimization searches with your desired values.
- We've fixed an authentication issue when using
qctrlcommands in the terminal.
Boulder Opal 18.8.0
July 25, 2022
- We've added new toolkit functions for creating the following STF pulses:
Boulder Opal 18.7.0
July 11, 2022
- The graph operation density_matrix_evolution_pwc , which you can use to simulate the evolution of open systems, now can also accept Tensors for Lindblad operators. This means that now you can pass the output of other graph operations as the Lindblad terms that describe the evolution of the open system.
Boulder Opal 18.6.0
June 22, 2022
We’ve created the Boulder Opal Toolkits (beta), built on top of the existing Boulder Opal functions and graph operations, to provide convenience functions, nodes, and classes that enable you to develop and implement workflows faster and with less code. You can access these toolkit operations from the corresponding namespaces in the Qctrl or Graph object (for example,
graph.pulses.gaussian_pulse_pwc). You can find more information about these in the toolkit topic
and their reference documentation
Please note that the toolkits are currently in beta phase of development. Breaking changes may be introduced.
The main toolkit capabilities include:
- Superconducting toolkit
- Convenience graph operations
- We have introduced nodes to easily create and filter optimizable signals. Find out more in the utils namespace reference , and an example in the optimization tutorial .
- We have created a library of common control signals, such as a Gaussian pulse or a hyperbolic tangent ramp. Find more information in the pulses namespace reference and an example in this user guide .
- System identification
- You can now calculate confidence ellipses for estimated parameters in system identification workflows. Find out more information in the function's reference and an example in the system identification tutorial . You can also easily visualize these confidence ellipses using the plot_confidence_ellipses function from the Q-CTRL Visualizer.
- Format conversion
- We have created functions to convert between two formats representing a piecewise-constant function: a list of value/duration dictionaries (as in the outputs of Boulder Opal functions or the inputs for the plot_controls function from the Q-CTRL Visualizer) and two NumPy arrays with its durations and values. Find out more information in the utils namespace reference and examples in the simulation tutorial and the optimization tutorial .
Boulder Opal 18.4.0
June 14, 2022
- We have added two new graph operations for calculating the minimum and the maximum values of a tensor.
Boulder Opal 18.3.0
May 30, 2022
- We have added two new graph operations for creating operators in composite Hilbert spaces:
Boulder Opal 18.2.0
May 16, 2022
- We've added simpler ways to create common operations of quantum mechanics:
- We've added the operation ms_phases_multitone to calculate the phases produced by a Mølmer–Sørensen gate created with a multitone global beam.
- We've added the unified graph operation hermitian_part for taking the Hermitian part of any of the data types used in our graphs (Tensors, PWCs, or STFs).
- You can now pass any kind of SciPy sparse matrix format to graph operations that use sparse matrices, such as density_matrix_evolution_pwc .
Boulder Opal 18.1.0
April 26, 2022
- We've added new graph operations to create Pauli operators.
Boulder Opal 18.0.0
April 14, 2022
- We’ve removed support for Python 3.6.
- We’ve added support for Python 3.10.
- We’ve added new graph operations to work with quantum harmonic oscillator-like systems. You can use them to easily create states and operators in Fock spaces.
cut_off_frequencyparameter in the sinc_convolution_kernel node is now deprecated and will be removed in the future. Please use