qutip

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Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.

AI & Automation 26,817 stars 2774 forks Updated today MIT

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# QuTiP: Quantum Toolbox in Python ## Overview QuTiP provides comprehensive tools for simulating and analyzing quantum mechanical systems. It handles both closed (unitary) and open (dissipative) quantum systems with multiple solvers optimized for different scenarios. ## Installation ```bash uv pip install qutip ``` Optional packages for additional functionality: ```bash # Quantum information processing (circuits, gates) uv pip install qutip-qip # Quantum trajectory viewer uv pip install qutip-qtrl ``` ## Quick Start ```python from qutip import * import numpy as np import matplotlib.pyplot as plt # Create quantum state psi = basis(2, 0) # |0⟩ state # Create operator H = sigmaz() # Hamiltonian # Time evolution tlist = np.linspace(0, 10, 100) result = sesolve(H, psi, tlist, e_ops=[sigmaz()]) # Plot results plt.plot(tlist, result.expect[0]) plt.xlabel('Time') plt.ylabel('⟨σz⟩') plt.show() ``` ## Core Capabilities ### 1. Quantum Objects and States Create and manipulate quantum states and operators: ```python # States psi = basis(N, n) # Fock state |n⟩ psi = coherent(N, alpha) # Coherent state |α⟩ rho = thermal_dm(N, n_avg) # Thermal density matrix # Operators a = destroy(N) # Annihilation operator H = num(N) # Number operator sx, sy, sz = sigmax(), sigmay(), sigmaz() # Pauli matrices # Composite systems psi_AB = tensor(psi_A, psi_B) # Tensor product ``` **See** `references/core_concepts.md` for comprehensive coverage of quantum objects, states, operato...

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Author
K-Dense-AI
Repository
K-Dense-AI/scientific-agent-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.

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