Return types.I have some installation issues with conanĪfter my Ubuntu 18.04 told "Command 'conan' not found", I guessed the Python These instructions now return qiskit.quantum_info classes for their Save_unitary(), and save_superop() has been deprecated, and Save_statevector(), save_density_matrix(), Using NumPy ndarray methods and attributes on the return type of QasmSimulator simulators as an alternative Objects directly to a QuantumCircuit without convertingĬircuits containing quantum errors can now be run on the Note that the original JSON-based input format is deperecated.Īdded a utility function .transform_noise_model()įor constructing a noise model by applying a supplied function to all error = QuantumError (), 0.9 ), (( XGate (), ), 0.1 ), ]) # A short-hand for the iterable form above, where the qubits are implicit, # and each instruction is over all qubits. error = QuantumError (( Reset (), )) # Construction from an iterable of objects in the same form as above, but # where each also has an associated probability. cx ( 0, 1 ) error = QuantumError ( qc ) # Construction from a tuple of (Instruction, List), where the list of # integers represents the qubits. array (, ], dtype = complex ) ]) print ( QuantumError ( kraus )) # Construction from a QuantumCircuit qc = QuantumCircuit ( 2 ) qc. Import numpy as np from qiskit import QuantumCircuit from import IGate, XGate, Reset from qiskit.quantum_info import Kraus from import QuantumError # Quantum channels kraus = Kraus (, ], dtype = complex ), np. Schedule your circuit to insert scheduled delay instructions as To enable this noise when running noisy simulations you must first Upgraded to allow adding duration-dependent relaxation errors on The basic device noise model implemented by The supplied relaxation time constant parameters of the pass. Qubit in an instruction, dependent on the instruction’s duration and Predefined noise function that returns a tensor product of This function can be applied to all instructions in a circuit, or a That can depend on any properties or parameters of the instruction and RelaxationNoisePassīe used to implement custom parameterized noise models by defining aĭef fn ( inst : Instruction, qubits : Optional ] = None, ) -> InstructionLike That instruction will return the saved state as aĪdded two transpiler passes for inserting instruction-dependent quantum Note that this instruction is essentially equivalent to the Saving the state of the stabilizer simulation method as a Improved the performance of the measure instruction for the "matrix_product_state"
Install conan 0.25.0 for mac simulator#
Mps_sample_measure_algorithm simulator option is set to "mps_probabilities". Is used only when all qubits are measured and when the simulator "matrix_product_state" simulation method of the Implemented a new measurement sampling optimization for the The direction of the swaps may affect performance, depending on the circuit. Possible values are "mps_swap_right" and "mps_swap_left". The direction of internal swaps, when they are inserted for aĢ-qubit gate. Will split the shots of a noisy circuit into multiple circuits.Īfter all individual shots have finished executing, the job resultsĪre automatically combined into a single ResultĪdded the mps_swap_direction simulator option that allows the user to determine Running multiple shots of a noisy circuit in parallel.įor example configuring max_shot_size with a custom executor:īackend = AerSimulator ( max_shot_size = 1, max_job_size = 1, executor = custom_executor ) job = backend. The default value of this option is 16.Īdded the new max_shot_size option to a custom executor for Optimization can be configured using the batch_shots_gpu_max_qubits The maximum number of active circuit qubits for enabling this
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Where there is sufficient GPU memory to run multiple simulations in This optimization is most beneficial for small to medium numbers of qubits
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Setting batched_shots_gpu=False in the simulator options. Simulation method of either "statevector" or "density_matrix" This option is enabled by default when using device="GPU" and a
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Multi-shot simulations with noise models and/or intermediate measurements. Simulation shots in parallel for greatly improved performance on Optional feature will use available memory on 1 or more GPUs to run multiple Supported instructions are ForLoopOp,Īdded a batched-shot simulation optimization for GPU simulations. This table tracks the meta-package versions and the version of each Qiskit element installed: Table 1 Version History ¶