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Software & tool2021QST

Qibo

Qibo is an open-source quantum-computing framework with built-in visual aids for inspecting small quantum programs and their simulated states. Its circuit tools produce Unicode diagrams or Matplotlib figures showing qubit wires, gates, controls, and measurements. Graphical drawing supports preset styles, gate clustering, and layout adjustments. For state inspection, plot_density_hist displays the real and imaginary density-matrix entries as paired three-dimensional bar charts. Users can adjust labels, colors, transparency, and figure size for these plots. These conventional views support circuit inspection and analysis of simulated states within Python workflows.

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Visualization labels

03 / Visualization

Visual representations

Visualization resources

Explore the tool’s visualization features and documentation.

Circuit visualization examples

Shows Matplotlib circuit drawing with built-in styles, custom colors, scaling, and gate clustering.

Density-matrix visualization example

Demonstrates paired three-dimensional bar plots for the real and imaginary density-matrix entries.

01Publication · 2021

Qibo: a framework for quantum simulation with hardware acceleration

Stavros Efthymiou, et al.

DOI

Cite this work

Download .bib
@article{Efthymiou_2022,
  author = {Efthymiou, Stavros and others},
  publisher = {IOP Publishing},
  doi = {10.1088/2058-9565/ac39f5},
  journal = {Quantum Science and Technology},
  month = dec,
  number = {1},
  pages = {015018},
  title = {Qibo: a framework for quantum simulation with hardware acceleration},
  volume = {7},
  year = {2021},
}

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Bloqade

Bloqade is QuEra's open-source software for developing neutral-atom quantum programs. Its analog Python tools include a visual results report that combines measured bitstring counts with views of the corresponding atom states and spatial Rydberg densities. Selecting a measurement outcome connects its count to the configuration across the atom array, helping users inspect simulated or hardware results. The documented digital workflow also displays conventional circuit diagrams when comparing sequential and parallel programs. Those diagrams are rendered through Cirq after conversion from Bloqade programs. Together, these capabilities support routine inspection of measurement results and circuit structure during program development.

Tool · 2020

Braket

Amazon Braket combines a cloud quantum-computing service with a Python SDK for building and running quantum programs. The SDK renders circuits as text diagrams that show qubit wires and operations, supporting inspection during program construction. Official notebooks also demonstrate how to turn measurement counts into bar charts using Matplotlib. This separates the circuit drawer supplied by the SDK from plotting code supplied in examples. The linked resources offer a small starting workflow: construct a circuit, inspect its diagram, run a simulator, and visualize the resulting measurement distribution.

Tool · 2018

Cirq

Cirq is a Python framework for constructing, transforming, and executing quantum circuits. Its circuit diagrams expose gates, qubit wires, parallel moments, and nested circuit operations, while state histograms summarize measured outcomes. Hardware-oriented views include heatmaps that place single-qubit and two-qubit metrics in a device's spatial layout. The cirq-google package also provides calibration plots and comparison histograms for processor metrics. These visualizations support circuit inspection, result analysis, and examination of hardware characteristics. The linked guides show the relevant APIs and distinguish locally supplied example data from workflows requiring access to Google's quantum service.