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Quantum computing is a type of computation that harnesses the collective properties of quantum states, such as superposition, interference, and entanglement, to perform calculations. It utilizes quantum bits or qubits which, unlike classical bits, can exist in multiple states simultaneously, potentially solving certain problems much faster than classical computers.

Start by understanding basic quantum mechanics concepts like superposition and entanglement. Then learn about qubits, quantum gates, and simple quantum algorithms. IQM Academy offers structured learning paths from fundamental concepts to advanced algorithms and practical implementations.

Quantum computing shows promise in various fields including cryptography (breaking and creating encryption), optimization problems (logistics, financial modeling), drug discovery and materials science (simulating molecular structures), artificial intelligence (enhancing machine learning algorithms), and quantum chemistry (simulating quantum systems).

Quantum computing uses specialized programming languages and frameworks such as Qrisp, Qiskit, Cirq, or Cuda Quantum. These frameworks often have Python interfaces, making Python a common language for quantum programming.

Currently, quantum computers are still in development and primarily used for research. Practical, fault-tolerant quantum computers that can solve real-world problems beyond the capabilities of classical computers are likely several years away. However, specific applications in fields like chemistry and materials science may see practical quantum advantages sooner.

Yes, IQM Academy is designed to be a resource for educators and students alike. You are welcome to use the materials for your university courses (please cite the source). If you have any specific questions or need assistance, feel free to reach out.