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 platformsQinterpreter 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.
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.
To ensure Qinterpreter functions correctly, install the required library versions by executing the following commands in your Python console:
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.
Next, install Qinterpreter by running:
After completing the installation, import the necessary quantum libraries with the following code:
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.
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:
Subsequently, we add the required quantum gates to simulate our bell state
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.
To perform the simulation of our circuit, we implemented the measurement operation as follows:
Select the framework for displaying the simulation (Qiskit, Pyquil, Pennylane, Amazon Braket, or Cirq) and use the following command:
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
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:
Qubithub.org is a Latin American initiative with partners in the US focused on advancing quantum computing and its related interdisciplinary fields, such as quantum optics, quantum information, photonics, artificial intelligence, nanosciences, and robotics.