Executing QIR programs

If you have a QIR string or bitcode, you can start by creating Pulla-compatible circuits representation. You can also generate a QIR string or bitcode from a qiskit circuit using IQM’s fork of qiskit_qir, available as the package iqm-qiskit-qir.

import os
from qiskit import QuantumCircuit, visualization
from qiskit.compiler import transpile
from iqm.qiskit_iqm import IQMProvider
from iqm.pulla.pulla import Pulla
from iqm.pulla.utils_qiskit import station_control_result_to_qiskit
from iqm.pulla.utils_qir import qir_to_pulla
from qiskit_qir import to_qir_module

# Create a Pulla object and a qiskit-iqm backend for accessing the quantum computer.
cocos_url = os.environ['PULLA_COCOS_URL']                      # or set the URL directly here
station_control_url = os.environ['PULLA_STATION_CONTROL_URL']  # or set the URL directly here

p = Pulla(station_control_url)
provider = IQMProvider(cocos_url)
backend = provider.get_backend()

# Define a quantum circuit.
qc = QuantumCircuit(3)
qc.h(0)
qc.cx(0, 1)
qc.cx(0, 2)
qc.measure_all()
qc.draw(output='mpl')

# Transpile the circuit using Qiskit
qc_transpiled = transpile(qc, backend=backend, layout_method='sabre', optimization_level=3)

print(qc_transpiled.draw(output='text'))

#Generate the QIR
module, _ = to_qir_module(qc_transpiled, "BasicExecution")

qir = str(module)
print(qir)

         ┌─────────────┐   ┌─────────────┐                ░    ┌─┐   
q_2 -> 1 ┤ R(π/2,3π/2) ├─■─┤ R(π/2,5π/2) ├────────────────░────┤M├───
         ├─────────────┤ │ └─────────────┘┌─────────────┐ ░    └╥┘┌─┐
q_0 -> 2 ┤ R(π/2,3π/2) ├─┼────────■───────┤ R(π/2,5π/2) ├─░─────╫─┤M├
         ├─────────────┤ │        │       └─────────────┘ ░ ┌─┐ ║ └╥┘
q_1 -> 0 ┤ R(π/2,3π/2) ├─■────────■───────────────────────░─┤M├─╫──╫─
         └─────────────┘                                  ░ └╥┘ ║  ║ 
 ancilla ────────────────────────────────────────────────────╫──╫──╫─
                                                             ║  ║  ║ 
 meas: 3/════════════════════════════════════════════════════╩══╩══╩═
                                                             0  1  2 
; ModuleID = 'circuit-166'
source_filename = "circuit-166"

%Qubit = type opaque
%Result = type opaque

define void @circuit-166() #0 {
entry:
  call void @__quantum__rt__initialize(i8* null)
  call void @__quantum__qis__r__body(double 0x3FF921FB54442D1A, double 0x4012D97C7F3321D2, %Qubit* inttoptr (i64 1 to %Qubit*))
  call void @__quantum__qis__r__body(double 0x3FF921FB54442D1A, double 0x4012D97C7F3321D2, %Qubit* inttoptr (i64 2 to %Qubit*))
  call void @__quantum__qis__r__body(double 0x3FF921FB54442D1A, double 0x4012D97C7F3321D2, %Qubit* null)
  call void @__quantum__qis__cz__body(%Qubit* inttoptr (i64 1 to %Qubit*), %Qubit* null)
  call void @__quantum__qis__r__body(double 0x3FF921FB54442D1A, double 0x401F6A7A2955385E, %Qubit* inttoptr (i64 1 to %Qubit*))
  call void @__quantum__qis__cz__body(%Qubit* inttoptr (i64 2 to %Qubit*), %Qubit* null)
  call void @__quantum__qis__r__body(double 0x3FF921FB54442D1A, double 0x401F6A7A2955385E, %Qubit* inttoptr (i64 2 to %Qubit*))
  call void @__quantum__qis__mz__body(%Qubit* null, %Result* null)
  call void @__quantum__qis__mz__body(%Qubit* inttoptr (i64 1 to %Qubit*), %Result* inttoptr (i64 1 to %Result*))
  call void @__quantum__qis__mz__body(%Qubit* inttoptr (i64 2 to %Qubit*), %Result* inttoptr (i64 2 to %Result*))
  call void @__quantum__rt__array_record_output(i64 3, i8* null)
  call void @__quantum__rt__result_record_output(%Result* inttoptr (i64 2 to %Result*), i8* null)
  call void @__quantum__rt__result_record_output(%Result* inttoptr (i64 1 to %Result*), i8* null)
  call void @__quantum__rt__result_record_output(%Result* null, i8* null)
  ret void
}

declare void @__quantum__rt__initialize(i8*)

declare void @__quantum__qis__r__body(double, double, %Qubit*)

declare void @__quantum__qis__cz__body(%Qubit*, %Qubit*)

declare void @__quantum__qis__mz__body(%Qubit*, %Result* writeonly) #1

declare void @__quantum__rt__array_record_output(i64, i8*)

declare void @__quantum__rt__result_record_output(%Result*, i8*)

attributes #0 = { "entry_point" "output_labeling_schema" "qir_profiles"="custom" "required_num_qubits"="4" "required_num_results"="3" }
attributes #1 = { "irreversible" }

!llvm.module.flags = !{!0, !1, !2, !3}

!0 = !{i32 1, !"qir_major_version", i32 1}
!1 = !{i32 7, !"qir_minor_version", i32 0}
!2 = !{i32 1, !"dynamic_qubit_management", i1 false}
!3 = !{i32 1, !"dynamic_result_management", i1 false}

# qiskit-qir has a bug, which causes qubit pointers to not be generated correctly
# according to the final_layout. So we replicate this logic here and generate a new mapping.
# Then we assign qiskit-qir index to the qiskit logic qubit idx.

# For simplicity, reverse the mapping
layout_reverse_mapping = {bit: idx for idx, bit in qc_transpiled.layout.final_layout.get_physical_bits().items()}
qiskit_qir_mapping = {}
# Replicate qiskit-qir logic for defining qubit pointer indices
for register in qc_transpiled.qregs:
    qiskit_qir_mapping.update(
        {layout_reverse_mapping[bit]: n + len(qiskit_qir_mapping) for n, bit in enumerate(register)}
)

# In the generated QIR qubit pointers will use qiskit-qir qubit labels,
# but we already know how to map them to IQM physical qubits, through qiskit logical qubit indices.
qubits_mapping = {qiskit_qir_mapping[i]: backend.index_to_qubit_name(i) for i in range(qc_transpiled.num_qubits)}

Executing QIR

p = Pulla(station_control_url)
# Pass qubit mapping to qir_to_pulla coverter to correctly interpret opaque qubit pointer indices in QIR
# and convert them to physical IQM qubit names.
circuits, compiler = qir_to_pulla(p, qir, qubits_mapping)

playlist, context = compiler.compile(circuits)

shots = 5000
settings, context = compiler.build_settings(context, shots=shots)
response_data = p.execute(playlist, context, settings, verbose=False)
print(response_data)

qiskit_result = station_control_result_to_qiskit(response_data, shots=shots, execution_options=context['options'])
print(f"Qiskit result counts: {qiskit_result.get_counts()}")
visualization.plot_histogram(qiskit_result.get_counts())

[04-01 15:14:51;I] Required number of qubits: 4
[04-01 15:14:51;I] Required number of results: 3
[04-01 15:14:51;I] QIR version: 1.0
[04-01 15:14:52;I] Submitted sweep with ID: 47aee4b7-8165-4726-8b38-f408005d042f
[04-01 15:14:52;I] Created task in queue with ID: 588b588c-2732-464f-b782-bf273f7993fb
[04-01 15:14:52;I] Sweep link: http://varda.qc.iqm.fi/station/sweeps/47aee4b7-8165-4726-8b38-f408005d042f
[04-01 15:14:52;I] Task link: http://varda.qc.iqm.fi/station/tasks/588b588c-2732-464f-b782-bf273f7993fb
[04-01 15:14:52;I] Waiting for the sweep to finish...
[04-01 15:14:53;I] Celery task ID: 588b588c-2732-464f-b782-bf273f7993fb
[04-01 15:14:57;I] Sweep status: SweepStatus.SUCCESS
StationControlResult(sweep_id=UUID('47aee4b7-8165-4726-8b38-f408005d042f'), task_id=UUID('588b588c-2732-464f-b782-bf273f7993fb'), status=<TaskStatus.READY: 'READY'>, start_time='2025-04-01T12:14:52.888688+00:00', end_time='2025-04-01T12:14:55.296134+00:00', result=[{'m_1_2_0': [[0.0], [0.0], [0.0], [0.0], [1.0], [0.0], [0.0], [1.0], [1.0], [0.0], [1.0], [0.0], [0.0], [0.0], [0.0], [0.0], [0.0], [1.0], [0.0], [0.0], [1.0], [0.0], [1.0], [0.0], [1.0], [1.0], [0.0], [0.0], [0.0], [1.0], [0.0], [1.0], [1.0], [0.0], [1.0], [0.0], [0.0], [1.0], [1.0], [0.0], [1.0], [0.0], [0.0], [0.0], [1.0], [0.0], [0.0], [1.0], [0.0], [1.0], [0.0], [1.0], [1.0], [1.0], [0.0], [1.0], [0.0], [1.0], [1.0], [1.0], [1.0], [0.0], [1.0], [0.0], [1.0], [1.0], [0.0], [0.0], [1.0], [0.0], [1.0], [1.0], [0.0], [0.0], [0.0], [1.0], [0.0], [0.0], [0.0], [0.0], [1.0], [0.0], [1.0], [1.0], [0.0], [1.0], [1.0], [0.0], [1.0], [0.0], [0.0], [0.0], [0.0], [0.0], [1.0], [0.0], [0.0], [1.0], [1.0], [1.0], [1.0], [1.0], [1.0], 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Qiskit result counts: {'0 0 0': 2150, '0 1 0': 340, '1 1 1': 1604, '1 0 1': 280, '0 1 1': 241, '1 0 0': 209, '0 0 1': 91, '1 1 0': 85}