Python lmap示例

示例#1

文件： qaoa-grover_alleq.py 项目： Quantum-Machine-Learning-Initiative/Variationally_learning_grover

def grover_u_s(n_qubits):
    plus_state = (qit.state('0') + qit.state('1')) / np.sqrt(2)
    state = (qit.state('0') + qit.state('1')) / np.sqrt(2)
    for i in range(1, n_qubits):
        state = qit.state.tensor(state, plus_state)
    I = qit.tensor(qit.lmap(np.eye(2)))
    for i in range(1, n_qubits):
        I = qit.tensor(I, qit.lmap(np.eye(2)))
    return -1 * I + 2 * qit.state.projector(state)

示例#2

文件： qaoa-grover_alleq.py 项目： Quantum-Machine-Learning-Initiative/Variationally_learning_grover

def grover_u_w(state, n_qubits):
    I = qit.tensor(qit.lmap(np.eye(2)))
    for i in range(1, n_qubits):
        I = qit.tensor(I, qit.lmap(np.eye(2)))
    return -2 * qit.state.projector(state) + I