Create lynx_quantum_computing.py

sidra_chain_integration/src/space_exploration/project/Lynx/lynx_quantum_computing/lynx_quantum_computing.py

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+import numpy as np
+from qiskit import QuantumCircuit, execute, Aer
+
+class QuantumComputing:
+    def __init__(self, backend):
+        self.backend = backend
+
+    def create_circuit(self, num_qubits):
+        circuit = QuantumCircuit(num_qubits)
+        return circuit
+
+    def add_hadamard_gate(self, circuit, qubit):
+        circuit.h(qubit)
+        return circuit
+
+    def add_pauli_x_gate(self, circuit, qubit):
+        circuit.x(qubit)
+        return circuit
+
+    def add_pauli_y_gate(self, circuit, qubit):
+        circuit.y(qubit)
+        return circuit
+
+    def add_pauli_z_gate(self, circuit, qubit):
+        circuit.z(qubit)
+        return circuit
+
+    def measure_circuit(self, circuit):
+        job = execute(circuit, self.backend)
+        result = job.result()
+        counts = result.get_counts(circuit)
+        return counts
+
+    def run_quantum_algorithm(self, circuit):
+        # Run a quantum algorithm (e.g. Shor's algorithm)
+        # For simplicity, we'll just run a Hadamard gate on each qubit
+        for qubit in range(circuit.num_qubits):
+            circuit = self.add_hadamard_gate(circuit, qubit)
+        return circuit
+
+# Example usage:
+backend = Aer.get_backend('qasm_simulator')
+quantum_computing = QuantumComputing(backend)
+
+num_qubits = 5
+circuit = quantum_computing.create_circuit(num_qubits)
+
+circuit = quantum_computing.add_hadamard_gate(circuit, 0)
+circuit = quantum_computing.add_pauli_x_gate(circuit, 1)
+circuit = quantum_computing.add_pauli_y_gate(circuit, 2)
+circuit = quantum_computing.add_pauli_z_gate(circuit, 3)
+
+counts = quantum_computing.measure_circuit(circuit)
+print(counts)
+
+circuit = quantum_computing.run_quantum_algorithm(circuit)
+counts = quantum_computing.measure_circuit(circuit)
+print(counts)