Quantum Computing Simulator
Simulate quantum algorithms and circuits with real-time visualization and cross-platform execution support.
Key Capabilities
Quantum Circuit Design
Create, simulate, and analyze quantum circuits using a visual editor or quantum programming APIs.
Cross-Platform Execution
Run quantum simulations on local hardware or cloud-based quantum processors.
Performance Optimization
High-speed simulation engine with hardware acceleration and parallel processing capabilities.
Technical Architecture
Technology Stack
- Python-based kernel with C++ acceleration
- Integration with Qiskit, Cirq, and ProjectQ
- Web-based IDE with circuit visualization
Performance Benchmarks
50ms
Average simulation time for 100-qubit circuit
Code Integration
Circuit Simulation
q = QuantumCircuit(3)
> q.x(0)
> q.h(1)
> q.cx(0, 1)
# Run simulation
> backend = AER.get_backend('statevector_simulator')
> result = execute(q, backend).result()
> print(result.get_statevector())
Measurement & Visualization
result = execute(qc, backend).result()
> counts = result.get_counts()
> plot_histogram(counts)
> display(circuit_drawer(qc))
Circuit Simulation
q = QuantumCircuit(3)
> q.x(0)
> q.h(1)
> q.cx(0, 1)
# Run simulation
> backend = AER.get_backend('statevector_simulator')
> result = execute(q, backend).result()
> print(result.get_statevector())
Measurement & Visualization
result = execute(qc, backend).result()
> counts = result.get_counts()
> plot_histogram(counts)
> display(circuit_drawer(qc))
Build Quantum Solutions Today
Start experimenting with quantum algorithms, test new ideas, and push the boundaries of quantum computing through this open source simulator.
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