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Drawing Quantum Diagrams with Matplotlib on Android Termux

Use Matplotlib in Termux to save quantum diagrams on Android, with a Qiskit circuit example and practical limits for custom state plots and interactive display.

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Yes: you can use Matplotlib in Termux to create and save quantum diagrams on Android. For an existing Qiskit circuit, its documented Matplotlib drawer returns a figure you can save as an image; for a diagram made from state-vector calculations, Matplotlib can render the plot while you supply the quantum calculations and visual conventions. Saving to a file is the most predictable starting point because showing an interactive window depends on backend support.

Three parts make up the workflow

Keep the environment, renderer, and diagram representation distinct:

  • Termux supplies an Android terminal and Linux-like package environment. The official project says it runs without rooting or setup and that additional packages are available through APT: Termux.
  • Matplotlib draws the figure and can write it to a file. Its current stable documentation identifies Matplotlib 3.11.2 and lists Agg, ps, pdf, and svg among the non-interactive backends that work out of the box: Matplotlib backends.
  • Your input representation determines what the diagram means. A Qiskit QuantumCircuit can be passed to Qiskit’s circuit drawer; a state-vector or gate calculation requires your own drawing code or another suitable renderer.

These facts establish a route for plotting, not guaranteed compatibility of every Python package or quantum SDK on every Android device.

Choose a drawing route

Route Input Output and trade-off
Qiskit Matplotlib drawer An existing Qiskit QuantumCircuit Qiskit’s documented output="mpl" returns a Matplotlib Figure. It is convenient when you already have the circuit, but does not establish that the full Qiskit stack installs or works on every Termux setup. IBM Quantum: circuit_drawer
Direct Matplotlib drawing Values you calculate yourself, such as a state vector, plus your own plotting code Avoids using the Qiskit drawer, but you are responsible for the calculations and for making the diagram accurately represent the state. A third-party search result describes a NumPy-based Bloch-diagram approach; its implementation could not be verified, so treat it as a reported option rather than a validated recipe. Search result for the exact-title article
Qiskit text output An existing Qiskit circuit A console-readable alternative when a figure is unnecessary or unavailable. Qiskit’s drawer also documents LaTeX and LaTeX source output; the LaTeX-rendered option invokes a system pdflatex, so it is not the simplest default on Android. IBM Quantum: circuit_drawer

Set up Python and Matplotlib in Termux

Use Termux’s package-managed environment as the starting point. The Matplotlib installation page gives the generic Python command python -m pip install -U matplotlib, but that instruction does not establish that pip is the best or compatible installation route for a particular Termux device. Matplotlib installation

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A third-party exact-title search result reports using Termux packages named python, python-numpy, and python-matplotlib. That is not an authoritative, current package listing, so check package names and availability in the package manager on your own installation rather than assuming those names or commands will work everywhere. The official Termux site describes APT as the way additional packages are available: Termux.

Once Matplotlib is installed, first make a simple saved plot. This checks that Python can import the plotting library and write an image, without implying that a quantum SDK is installed:

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python -c 'import matplotlib; print(matplotlib.__version__)'
python -c 'import matplotlib.pyplot as plt; plt.plot([0, 1], [0, 1]); plt.savefig("plot.png")'

If the commands succeed, look for plot.png in the current directory and open it with an Android image viewer. A successful import and save verifies this small plotting path only; it does not verify Qiskit, interactive windows, or other rendering dependencies.

Draw and save an existing Qiskit circuit

Qiskit’s documented circuit_drawer accepts a circuit and can use output="mpl" to produce a Matplotlib Figure. It also accepts a filename for saving, along with styling options, scale, and an optional Matplotlib axes object. IBM Quantum: circuit_drawer

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For a circuit you already have in a Python script, the essential pattern is:

from qiskit import QuantumCircuit
from qiskit.visualization import circuit_drawer

qc = QuantumCircuit(1)
qc.h(0)

fig = circuit_drawer(qc, output="mpl")
fig.savefig("circuit.png", bbox_inches="tight")

This example assumes Qiskit is installed and that your circuit can be constructed in that environment; it is an API illustration, not a claim that Qiskit is available on every Termux device. If your circuit is already built, replace the example circuit with it. You can also pass filename="circuit.png" to circuit_drawer to request file output through the drawer.

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Qiskit’s interactive option depends on whether the selected Matplotlib backend supports opening a new window. In an Android terminal, prefer saving a file first, then view it in a separate app. A successful save does not prove that an interactive display backend is usable.

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Draw a state or Bloch-style diagram without the Qiskit drawer

Matplotlib is a renderer, not a quantum simulator or a source of circuit semantics. For a custom diagram, your code must calculate the state or gate result, decide what quantities to show, and map them correctly onto plot elements. NumPy may be used for array and matrix calculations, but the result depends on the correctness of that code.

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A third-party result for this exact title describes drawing Bloch-state diagrams using NumPy and custom Matplotlib code without a full Qiskit installation. Because that page could not be verified, it does not establish a specific implementation, identical output to a simulator, performance, or memory use. Treat a custom route as an option for readers prepared to implement and validate the underlying math, not as a tested drop-in replacement for Qiskit.

When this workflow fails

  • Matplotlib cannot be imported: Python and the plotting package may not be installed in the same environment. Check the active Python with python --version and retry the package installation method supported by that Termux installation.
  • Image saving works but no window appears: this is consistent with using a non-interactive backend. Save the figure and open the output file in an Android viewer instead; interactive display requires a backend that supports a new window.
  • The Qiskit import or drawer fails: Matplotlib’s availability does not establish Qiskit compatibility. Check whether the SDK and its dependencies support the particular device and Python environment; use Matplotlib directly only if you can supply and validate the circuit or state calculations yourself.
  • LaTeX output fails: Qiskit’s LaTeX-rendered output invokes pdflatex. Unless that executable is installed and working, choose Matplotlib or text output.

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