Author: Bakhmat M.
Developing and running algorithms on quantum computers requires a specialized software stack and tools. This includes programming languages, libraries, compilers, and environments for managing workloads that often combine quantum and classical resources.
Quantum Programming Libraries
Key open-source software libraries enable developers to build and run quantum circuits. Cirq is one such library supported by Google Quantum AI. Qiskit is described as the toolkit for useful quantum computing, provided by IBM. These libraries offer stable documentation and interoperable capabilities.
Software Models and Environments
To facilitate the use of quantum and classical resources together, new programming models are emerging. Quantum Serverless, for instance, is a new model for leveraging both types of resources and is part of IBM’s offerings. Qiskit Serverless provides a simple interface for running workloads across quantum and classical systems.
Environments like Qiskit Runtime provide a way to access and execute workloads on IBM’s quantum computers. Google’s Coursera course on quantum error correction utilizes industry-standard software tools like Stim and Crumble for hands-on experience.
The Quantum Stack
The quantum software stack involves multiple layers, from the low-level control of qubits to high-level applications. This stack includes quantum languages, quantum instruction set architectures, compilers, quantum operating systems, and error correction mechanisms. Quantum control, which involves precisely manipulating qubits through external fields, is a significant component. Achieving optimal algorithmic performance requires tailored quantum control systems.
The goal is to create user-friendly interfaces and reliable software tools that allow developers to harness the power of quantum hardware effectively, even as the hardware is still maturing.
