Quantum

Why Quantum?

⚛️

Physics-Aware AI

Our AI understands physics notation, equations, and research patterns to provide contextually relevant code suggestions.

🚀

Lightning Fast

Real-time code completion that adapts to your coding style and research domain, saving hours of development time.

🔬

Research Optimized

Built specifically for scientific computing, numerical analysis, and physics simulations with support for popular libraries.

🎯

Precision Focused

Accurate suggestions that maintain scientific rigor and mathematical precision essential for physics research.

🔄

Seamless Integration

Works with your existing development environment and research workflows without disrupting your process.

🌐

Collaborative

Share and collaborate on research code with built-in version control and team features designed for academia.

quantum_simulation.py

                    import numpy as np

                    from scipy import linalg

                    import matplotlib.pyplot as
                    plt

                    # Quantum state simulation

                    def quantum_evolution(psi_0, H,
                    t_final, dt):

                        # Time evolution operator

                        U = linalg.expm(-1j * H * dt)

                        psi = psi_0.copy()

                        times = np.arange(0, t_final, dt)

                        states = [psi.copy()]

                        for t in
                    times[1:]:

                            psi = U @ psi

                            states.append(psi.copy())

                        return np.array(states), times

                    # Example: Two-level system

                    H = np.array([[1, 0.5], [0.5, -1]])

                    psi_0 = np.array([1, 0])

                    states, times = quantum_evolution(psi_0, H, 10, 0.1)