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Estimator is returning a complex type for the variance
EstimatorResult(values=array([0.4376]), metadata=[{'shots': 10000, 'variance': (0.80850624+0j), 'simulator_metadata': [{'parallel_state_update': 8, 'parallel_shots': 1, 'sample_measure_time': 0.010197875, 'noise': 'ideal', 'batched_shots_optimization': False, 'remapped_qubits': False, 'device': 'CPU', 'active_input_qubits': [0, 1, 2, 3, 4, 5], 'measure_sampling': True, 'num_clbits': 6, 'input_qubit_map': [[0, 0], [1, 1], [2, 2], [3, 3], [4, 4], [5, 5]], 'num_qubits': 6, 'method': 'statevector', 'fusion': {'applied': False, 'max_fused_qubits': 5, 'threshold': 14, 'enabled': True}}]}])
Variance should be real
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Informations
What is the current behavior?
Estimator is returning a complex type for the variance
Steps to reproduce the problem
What is the expected behavior?
Variance should be real
Suggested solutions
The text was updated successfully, but these errors were encountered: