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This module enables conversion from Quantum Intermediate Representation (PyQIR) to Squin kernels, allowing you to execute QIR circuits using the Bloqade SDK’s Squin execution engine. Squin provides a high-performance quantum circuit execution environment, and this conversion opens the door to running QIR circuits on Bloqade simulators and hardware backends.

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Installation

pip install 'qbraid-qir[squin]'

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Conversions

This section highlights the different ways in which the converter load() can be used with various formats and input types. Each conversion method is demonstrated with practical examples below.

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PyQIR String to Squin kernel

Convert PyQIR IR string to a Squin kernel: 
from qbraid_qir.squin import load

qir_str = """
; ModuleID = 'bell'
source_filename = "bell"

%Qubit = type opaque

define void @main() #0 {
entry:
  call void @__quantum__qis__h__body(%Qubit* null)
  call void @__quantum__qis__cnot__body(%Qubit* null, %Qubit* inttoptr (i64 1 to %Qubit*))
  ret void
}

declare void @__quantum__qis__h__body(%Qubit*)

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

attributes #0 = { "entry_point" "output_labeling_schema" "qir_profiles"="custom" "required_num_qubits"="2" "required_num_results"="2" }

!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}
"""

squin_kernel = load(qir_str, kernel_name="bell")
squin_kernel.print()

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PyQIR Module to Squin kernel

Convert a PyQIR Module object to a Squin kernel: 
from qbraid_qir.squin import load
from pyqir import BasicQisBuilder, SimpleModule

mod = SimpleModule("ghz", num_qubits=3, num_results=3)
qis = BasicQisBuilder(mod.builder)

qis.h(mod.qubits[0])
qis.cx(mod.qubits[0], mod.qubits[1])
qis.cx(mod.qubits[1], mod.qubits[2])

squin_kernel = load(mod._module)
squin_kernel.print()

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Conversion from File

Load PyQIR IR from a file (.ll for LLVM IR text or .bc for LLVM bitcode):
Code
from qbraid_qir.squin import load

# Load from .ll file (LLVM IR text)
kernel = load("path/to/circuit.ll", kernel_name="my_circuit")

# Load from .bc file (LLVM bitcode)
kernel = load("path/to/circuit.bc", kernel_name="my_circuit")

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Integration with OpenQASM 3

Convert OpenQASM3 programs to Squin kernels using qbraid-qir: 
from qbraid_qir.qasm3 import qasm3_to_qir
from qbraid_qir.squin import load

program = """
OPENQASM 3;
include "stdgates.inc";
qubit[2] q;
bit[2] c;
h q[0];
x q[0], q[1];
rx(pi/2) q[0];
"""

module = qasm3_to_qir(program, name="my_program")

squin_kernel = load(str(module))

squin_kernel.print()

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Integration with CUDA-Q

Convert CUDA-Q kernels to Squin kernels
Code
import cudaq
from qbraid_qir.squin import load

@cudaq.kernel
def bell():
    q = cudaq.qvector(2)
    h(q[0])
    cx(q[0], q[1])

# Generate QIR from kernel
qir_str = cudaq.translate(bell, format="qir-base")

squin_kernel = load(qir_str, kernel_name="bell")
squin_kernel.print()
CUDA-Q is capable of exporting QIR using multiple profiles (such asqir-base, qir-adaptive, etc.). Currently, the qbraid-qir Squin integration supports only QIR generated with the qir-base profile. Ensure that when using cudaq.translate, you specify format=“qir-base” for compatibility.

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Using Qubit Register as Argument

Create a kernel that accepts a qubit register as an argument, enabling composition of kernel functions: 
from qbraid_qir.squin import load
from pyqir import BasicQisBuilder, SimpleModule

mod = SimpleModule("main", num_qubits=3, num_results=3)
qis = BasicQisBuilder(mod.builder)
qis.h(mod.qubits[0])
qis.cx(mod.qubits[0], mod.qubits[1])

squin_kernel = load(
module=mod._module,
kernel_name="bell",
register_as_argument=True,
register_argument_name="qreg"
)
squin_kernel.print()

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Supported Gates

The following gates are currently supported for conversion from PyQIR to Squin kernels:
QIR GateSquin GateDescription
__quantum__qis__h__bodysquin.hHadamard gate
__quantum__qis__x__bodysquin.xPauli-X gate
__quantum__qis__y__bodysquin.yPauli-Y gate
__quantum__qis__z__bodysquin.zPauli-Z gate
__quantum__qis__s__bodysquin.sS gate (π/2 phase)
__quantum__qis__t__bodysquin.tT gate (π/4 phase)
__quantum__qis__s__adjsquin.s_adjS† gate (adjoint S)
__quantum__qis__t__adjsquin.t_adjT† gate (adjoint T)
__quantum__qis__rx__bodysquin.rxRotation around X-axis
__quantum__qis__ry__bodysquin.ryRotation around Y-axis
__quantum__qis__rz__bodysquin.rzRotation around Z-axis
__quantum__qis__cnot__bodysquin.cxControlled-NOT gate
__quantum__qis__cz__bodysquin.czControlled-Z gate

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Next Steps

Our current implementation provides comprehensive support for standard QIR gates and circuit conversion. We are actively working on expanding functionality in the following areas:
  • Measurement operations: Support for measurement operations is planned for a future release.
  • Classical control flow: Conditional gates and classical control flow are on our roadmap.
  • Custom gates: We currently support all standard QIR gates listed in the Supported Gates table, with plans to extend support for custom gate definitions.