Qinterpreter

The Qinterpreter is an open-source tool designed to integrate five popular Python-based quantum libraries: Qiskit, Pyquil, Pennylane, Amazon Braket, and Cirq. Developed by top industry leaders such as IBM, Amazon, Google, Rigetti Computing, and Xanadu, these libraries are unified by Qinterpreter into a single framework.

This integration allows users to interact with and execute code across all five quantum computing platforms. Essentially, Qinterpreter acts as a simulator that translates algorithms between these frameworks and is freely available online. This is especially useful for researchers and newcomers who lack access to physical quantum computers.

For more information, please see the following article for more details.

Unleashing quantum algorithms with Qinterpreter: bridging the gap between theory and practice across leading quantum computing platforms

What is the main purpose of the Qinterpreter?

Qinterpreter serves as an educational and training tool, offering a user-friendly entry point for those new to quantum computing. It enables users to develop and execute quantum circuits across multiple platforms with ease.

Additionally, the development and implementation of Qinterpreter serve as a pilot test for the Quantum Science Gateway platform, marking the first step towards creating an inclusive, collaborative space that fosters innovation and education in quantum science.

How Qinterpreter works

Qinterpreter operates in three sequential steps. The first step involves creating a common language called Qinterpreter. The second step is translating this language into the five distinct frameworks: Qiskit, Cirq, PennyLane, PyQuil, and Amazon Braket. The final step involves managing the simulation process. By following this approach, Qinterpreter provides an environment where users can interact with these five quantum backends. These backends serve as interfaces to quantum simulators, enabling users to perform simulations or execute code without needing to understand the underlying technical details.

The process relies on predefined rules centered around the basic gates used in quantum computation. Since most libraries follow a standard set of basic gates, Qinterpreter adapts these simple gates for each specific library. The core of the translation process is mapping gates from the framework-agnostic model to the corresponding gates in the target framework, ensuring compatibility and successful execution on the chosen backend. Each translator uses its respective library's backend for circuit translation and simulation. For example, Qiskit uses the Aer backend for state vector simulation, while PennyLane uses its default qubit device. Before we proceed with an example, let’s review the installation process.

Installation and backends

To ensure Qinterpreter functions correctly, install the required library versions by executing the following commands in your Python console:

pip install qiskit==0.42.0
pip install qiskit_terra==0.23.2
pip install qiskit_aer==0.12.0
pip install qiskit-ibmq-provider==0.20.2
pip install qiskit_nature==0.6.0
pip install Pennylane==0.29.1
pip install Cirq==0.9.1
pip install Pyquil==3.3.4
pip install amazon_Braket_sdk==1.36.4
pip install plotly

If you're working in Jupyter Notebook or JupyterLab, simply add ! at the beginning of each command to install the specific versions of the libraries.

Installation

Next, install Qinterpreter by running:

pip install git+https://github.com/Qubithub/Qinterpreter.git

Importing te quantum libraries

After completing the installation, import the necessary quantum libraries with the following code:

from quantumgateway.quantum_circuit import QuantumCircuit, QuantumGate
from quantumgateway.quantum_translator.braket_translator import BraketTranslator
from quantumgateway.quantum_translator.cirq_translator import CirqTranslator
from quantumgateway.quantum_translator.qiskit_translator import QiskitTranslator
from quantumgateway.quantum_translator.pennylane_translator import PennyLaneTranslator
from quantumgateway.quantum_translator.pyquil_translator import PyQuilTranslator
from quantumgateway.main import translate_to_framework, simulate_circuit

Qinterpreter Functions

Users should become familiar with Qinterpreter's rules and instructions. As an example, let’s simulate a basic quantum circuit that creates the Bell state

|Ψ+⟩ = (1/√2)(|00⟩ + |11⟩)

An entangled state between two qubits.

Function Quantum Circuit

The QuantumCircuit() function, into the Qinterpreter, is responsible for create a circuit based on the specified number of qubits and classical registers. For our Bell state example, we need two quantum registers and two classical registers:

n=2
circuit = QuantumCircuit(n,n)

Function Circuit.Add_Gate()

Subsequently, we add the required quantum gates to simulate our bell state

circuit.add_gate(QuantumGate("h", [0]))
circuit.add_gate(QuantumGate("cnot", [0,1]))

where the Hadamard gate (h) creates a superposition, resulting in the state (|00⟩ + |01⟩) / √2, while the cnot gate entangles the qubits to form the Bell state (|00⟩ + |11⟩) / √2.

Measurement Function

To perform the simulation of our circuit, we implemented the measurement operation as follows:

circuit.add_gate(QuantumGate("MEASURE", [0,0]))
circuit.add_gate(QuantumGate("MEASURE", [1,1]))

Function Translate_to_framework()

Select the framework for displaying the simulation (Qiskit, Pyquil, Pennylane, Amazon Braket, or Cirq) and use the following command:

selected_framework = 'qiskit' # For Qiskit framework
selected_framework = 'cirq' # For Cirq framework
selected_framework = 'Pyquil' # For Pyquil framework
selected_framework = 'pennylane' # For Pennylane framework
selected_framework = 'amazonbraket' # For Amazon-Braket framework
translated_circuit = translate_to_framework(circuit, selected_framework)

Function Translated_circuit.print_circuit()

Printing the circuit in any quantum computing library allows users to visualize and debug their created quantum circuits. In this case, to visualize the circuit and ensure it works correctly, the following rule is applied

translated_circuit.print_circuit()

Function simulate_circuit()

For circuit simulation, we employ the appropriate simulators provided by each library. In the case of Qiskit, the QASM simulator is used. However, for the specific pyquil framework, the user is required to install the software requirements outlined in the documentation provided by Rigetti (Installation and Getting Started — pyQuil 3.5.4 documentation (rigetti.com)). The command to perform and print the simulations is as follows:

print("The results of our simulated circuit are: ")
counts = simulate_circuit(circuit, selected_framework)
print(counts)
# Plot the histogram
from qiskit.visualization import plot_histogram
plot_histogram(counts, title='Histogram of Quantum States (Qiskit)')

Congratulations! You have created and simulated your first quantum circuit.

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