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Project Features

Advanced Simulation

Our simulator utilizes advanced algorithms to model quantum states with high fidelity. This allows students and researchers to experiment with complex quantum circuits without needing access to physical quantum hardware. We’ve focused on performance and accuracy to provide a realistic simulation environment.

• State vector simulation
• Density matrix support
• Noise modeling

Example Usage

Here is a small example of how to define a quantum circuit using our Python SDK.

from quantum_simulator import QuantumCircuit

# Create a circuit with 2 qubits
qc = QuantumCircuit(2)

# Add a Hadamard gate on qubit 0
qc.h(0)

# Add a CNOT gate on control qubit 0 and target qubit 1
qc.cnot(0, 1)

# Run the simulation
result = qc.run()
print(result.get_counts())

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