Statevector Run

Haiqu.statevector_run(circuits, job_name=None, job_description=None)

Run quantum circuits on a statevector simulator and obtain exact amplitudes of the wavefunctions. For the behaviour before 1.7.0, which returned a RunJobModel, use Legacy.statevector_run() (haiqu.legacy.statevector_run). This execution type is restricted to non-parametrized circuits up to 24 qubits in size. Circuits may contain Haiqu gates, but no mid-circuit measurements or other logical operations. Final measurements are mandatory, but ignored: the statevector is measured over all qubits in their standard Qiskit order. The returned amplitude ordering matches the indexing convention used by amplitude-based data loaders (vector_loading(), block_vector_loading(), function_loading(), distribution_loading(), mps_loading()): index i corresponds to the computational-basis ket whose binary label has rightmost bit = qubit 0.

Parameters:
- circuits (QuantumCircuit | list *[*QuantumCircuit ] | CircuitModel | list *[*CircuitModel ]) — The quantum circuit(s) to execute. Can be a single circuit or a list of circuits.
- job_name (str | None) — The name for the job. If None (default), a name will be automatically generated.
- job_description (str | None) — The description for the job.
Returns: The Hybrid job that will execute the circuit. : Call job.result() to retrieve a list of complex-valued statevectors (one numpy array per input circuit), each of length 2**num_qubits in standard Qiskit ordering (rightmost bit = qubit 0). In a notebook, a link to the job on the Dashboard is also displayed when haiqu.verbosity is "high".
Return type: HybridJobModel

Examples

Single circuit:

>>> from qiskit import QuantumCircuit
>>> qc = QuantumCircuit(2)
>>> qc.h(0)
>>> qc.cx(0, 1)
>>> qc.measure_all()
>>> job = haiqu.statevector_run(qc)
>>> job.result()  # Returns: [statevector]
[array([0.70710678+0.j, 0.        +0.j, 0.        +0.j, 0.70710678+0.j])]

Multiple circuits:

>>> from qiskit import QuantumCircuit
>>> import numpy as np
>>> qc_bell = QuantumCircuit(2)  # standard bell state
>>> qc_bell.h(0)
>>> qc_bell.cx(0, 1)
>>> qc_bell.measure_all()
>>> bell_gate_phased = haiqu.vector_loading([1, 0, 0, 1.j]).result()  # notice the imaginary amplitude
>>> qc_bell_phased = QuantumCircuit(2)  # bell state with different phase on |11> state
>>> qc_bell_phased.compose(bell_gate_phased, inplace=True)
>>> qc_bell_phased.measure_all()
>>> job = haiqu.statevector_run([qc_bell, qc_bell_phased])
>>> np.round(job.result(), 3)
array([[0.707+0.j   , 0.   +0.j   , 0.   +0.j   , 0.707+0.j   ],
       [0.707-0.j   , 0.   +0.j   , 0.   +0.j   , 0.   +0.707j]])

Core platform functions

Data loading

Middleware

Circuit Execution

Optimization

Variational Algorithms

SKQD

Statevector Run

Haiqu.statevector_run(circuits, job_name=None, job_description=None)

Examples

​Haiqu.statevector_run(circuits, job_name=None, job_description=None)

​Examples

Haiqu.statevector_run(circuits, job_name=None, job_description=None)

Examples