Online Python and Qiskit Quantum Computing Notebooks
Write and explore quantum computing examples using Python and Qiskit in Quortup's notebook environment. Check the supported packages and execution capabilities.
Zero Local Python Setup
Execute quantum circuits and Python programs directly in the browser without installing Conda, virtual environments, or compiling wheels.
Interactive Cells & Graphs
Render interactive circuit diagrams, state histograms, and Bloch sphere plots right inline with your cell outputs.
Built-in AI Code Explainer
Get instant line-by-line algorithmic explanations and debugging assistance powered by Quortup's quantum intelligence agent.
import numpy as np from qiskit import QuantumCircuit from qiskit.quantum_info import Statevector # Construct 2-qubit Bell State qc = QuantumCircuit(2) qc.h(0) qc.cx(0, 1) # Calculate exact statevector state = Statevector.from_instruction(qc) print("Statevector:", state) print("Probabilities:", state.probabilities_dict()) Output: Statevector: Statevector([0.70710678+0.j, 0.+0.j, 0.+0.j, 0.70710678+0.j]) Probabilities: {'00': 0.5, '11': 0.5}
Supported Packages & Execution Environment
Quortup notebooks provide browser-based execution for Python scripts and quantum circuits using client-side compilation and dedicated cloud fallback. Supported libraries include Qiskit Core, NumPy mathematical operations, and OpenQASM transpilation.
Notebooks can be saved to your personal cloud workspace or downloaded as standard .ipynb files compatible with Google Colab and JupyterLab.
Frequently Asked Questions
Does Quortup require a credit card or subscription to run code?
No. Basic notebook simulation and visual circuit editing are completely free and available immediately to all registered users.
Can I import existing Jupyter Notebooks?
Yes. You can import and export standard Jupyter Notebook (.ipynb) files directly in the Quortup Collaborative Notebook view.