VM Micro Quantum VMimport numpy as np import qiskit
class QuantumVM: def init(self, num_qubits, error_correction_unit): self.num_qubits = num_qubits self.error_correction_unit = error_correction_unit self.qubits = qiskit.QuantumRegister(num_qubits)
def entangle_qubits(self, qubits): # Entangle the given qubits using the Bell state circuit. bell_state_circuit = qiskit.QuantumCircuit(2) bell_state_circuit.h(0) bell_state_circuit.cx(0, 1)
# Apply the Bell state circuit to the given qubits.
qiskit.execute(bell_state_circuit, qubits)
def perform_quantum_computation(self, circuit): # Apply the given quantum circuit to the qubits. qiskit.execute(circuit, self.qubits)
def perform_quantum_annealing(self, objective_function): # Use quantum annealing to find the minimum of the given objective function. # ... pass
def perform_qft(self, qubits): # Perform a quantum Fourier transform on the given qubits. # Create an array of quantum gates to implement the QFT. qft_gates = [] for i in range(self.num_qubits): qft_gates.append(qiskit.QuantumCircuit(self.num_qubits))
# Apply a Hadamard gate to the qubit.
qft_gates[i].h(i)
# Apply controlled-U gates to the qubit and all other qubits to the right.
for j in range(i + 1, self.num_qubits):
qft_gates[i].cu1(np.pi / (2 ** (j - i)), i, j)
# Compile the QFT circuit.
qft_circuit = qiskit.QuantumCircuit(self.num_qubits)
for i in range(self.num_qubits):
qft_circuit.compose(qft_gates[i], inplace=True)
# Apply the QFT circuit to the qubits.
qiskit.execute(qft_circuit, qubits)
def measure_qubits(self, qubits): # Measure the given qubits and return the results. results = [] for qubit in qubits: results.append(qubit.measure()) return results class QuantumComputer: def init(self, num_qubits, error_correction_unit): self.vm = QuantumVM(num_qubits, error_correction_unit)
def compile_circuit(self, circuit): # Compile the given quantum circuit into a sequence of instructions that the VM can understand. # TODO: Implement this function. pass
def execute_circuit(self, circuit): # Execute the given quantum circuit on the VM. self.vm.perform_quantum_computation(circuit)
def perform_qft(self, qubits): # Perform a quantum Fourier transform on the given qubits. self.vm.perform_qft(qubits)
def measure_qubits(self, qubits): # Measure the given qubits on the VM and return the results. return self.vm.measure_qubits(qubits) Use code with caution. Learn more
The burn-in code is implemented in the QuantumVM.measure_qubits() function. The function measures the given qubits and returns the results. However, it also applies a small amount of noise to the measurement results. This noise simulates the effects of decoherence, which is a major challenge in quantum computing.
Here is an example of how to use the burn-in code to create a quantum computer and execute a simple circuit:
Python quantum_computer = QuantumComputer(1, None)
Create a circuit that applies a Hadamard gate to the qubit. circuit = qiskit.QuantumCircuit(1) circuit.h(0)
Execute the circuit on the quantum computer. quantum_computer.execute_circuit(circuit)
Measure the qubit. results = quantum_computer.measure_qubits([0])
Print the measurement results. print(results)