Quantum computing employs specialized programming languages tailored to its unique principles, distinct from classical computing languages. Some of the most commonly used quantum programming languages include Qiskit, Cirq, and Quipper.

Qiskit, developed by IBM, is a Python-based framework that enables users to create quantum circuits and algorithms. It is designed to work with IBM’s quantum computers and simulators, offering tools for quantum computing research, education, and application development.

Cirq, created by Google, is also Python-based and focuses on designing, simulating, and executing quantum circuits. Cirq is optimized for Google’s quantum processors and provides a platform for experimenting with quantum algorithms and error correction techniques.

Quipper is a higher-level functional programming language designed for quantum computing. It enables the description of quantum algorithms in a concise and expressive manner, facilitating the development of complex quantum circuits and algorithms.

These languages differ significantly from classical computing languages like Python, Java, and C++. Quantum programming languages are designed to handle the principles of quantum mechanics, such as superposition and entanglement. They provide tools for constructing and manipulating quantum circuits, which operate on qubits instead of classical bits. Unlike classical languages, quantum languages often include features for dealing with quantum-specific concepts like quantum gates, measurement, and quantum error correction.