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MyQLM converter

Minimal code

This section demonstrates the basic usage of the MyQLM converter with a simple example. We’ll create a single-qubit circuit that applies an X gate and convert it to a Perceval photonic processor.

Note that this notebook requires the installation of MyQLM (which can be easily done with pip install myqlm). This repository can also be installed with the command: pip install .[MyQLM-bridge] to automatically install MyQLM.

# Import required libraries
import qat.lang.AQASM as qataqasm
import perceval as pcvl
from perceval_interop import MyQLMConverter

# Create a MyQLM quantum program
qprog = qataqasm.Program()

# Allocate quantum bits
qbits = qprog.qalloc(1)  # Allocate 1 qubit

# Apply quantum gate (X gate = NOT gate)
qprog.apply(qataqasm.X, qbits[0])  # Apply X gate to flip |0⟩ → |1⟩

# Convert program to MyQLM circuit
myqlm_circuit = qprog.to_circ()
myqlm_circuit.display()

# Convert MyQLM circuit to Perceval processor
myqlm_converter = MyQLMConverter(backend_name="Naive")
converted_processor = myqlm_converter.convert(myqlm_circuit, use_postselection=True)

pcvl.pdisplay(converted_processor, recursive=True)

Circuit to generate GHZ State

In this section, we show how circuits from myQLM can be converted into Perceval circuits. To do so, we take the example of a simple gate-based circuit producing GHZ states. We then show the translation to a linear optical circuit. We also show the equivalence between the two circuits (gate-based and perceval).

from perceval.algorithm import Sampler

Conversion from MyQLM Circuit to Perceval

Analogous to QiskitConverter, employ a MyQLMConverter object to convert a MyQLM circuit to a Perceval processor with each qubit of the circuit represented by 2 modes and additional modes for ancillary photons to perform deterministically two-qubit gates. (Read in the qiskit converter notebook for a discussion on how ancillary modes are set).

Circuit to generate GHZ State in MyQLM

# Create a myqlm program
qprog = qataqasm.Program()

# Allocate qbits to the Program
qbits = qprog.qalloc(3)

# Add gates
qprog.apply(qataqasm.H, qbits[0])
qprog.apply(qataqasm.CNOT, qbits[0], qbits[1])
qprog.apply(qataqasm.CNOT, qbits[0], qbits[2])

# Convert program to myqlm circuit
myqlm_circuit = qprog.to_circ()

myqlm_circuit.display()

Conversion of Myqlm circuit to Perceval

myqlm_converter = MyQLMConverter(backend_name="Naive")
converted_processor = myqlm_converter.convert(myqlm_circuit, use_postselection=True)
pcvl.pdisplay(converted_processor, recursive=True)

# computing results with converted processor from myqlm
converted_processor.with_input(pcvl.LogicalState([0,0,0]))

sampler = Sampler(converted_processor)

output_distribution_myqlm_pcvl = sampler.probs()["results"]
pcvl.pdisplay(output_distribution_myqlm_pcvl, precision=1e-2, max_v = 4)

state	probability
|0,1,0,1,0,1>	1/2
|1,0,1,0,1,0>	1/2

Note: The result is exactly the same as previously obtained from converter from Qiskit and is also the expected result.

Few remarks

• Only the following gates are supported:

  • 1-Qubit gates

  • 2-Qubits gates: CNOT, CSIGN, SWAP

  • 3-Qubits gate: Toffoli