IBM Develops The AI-Quantum Link
What role do classical computers play in quantum algorithm development?
Classical computers play a crucial role in quantum algorithm development. They are used for preprocessing in the development of quantum algorithms and circuits, and for postprocessing to manage errors, improve results, and complete the processing task. Classical computers also help in the integration of AI with quantum computing, enhancing quantum computing capabilities and accelerating its adoption.
How do quantum computers enhance classical computing architectures?
Quantum computers can enhance classical computing architectures by acting as accelerators for complex calculations, performing tasks that even classical supercomputers cannot. Classical computers are used for preprocessing in developing quantum algorithms and circuits, and for postprocessing to manage errors and complete tasks. AI integration can also improve quantum computing capabilities, enhancing ease of use, circuit optimization, resource management, and error suppression.
What AI solutions is IBM developing for better quantum resource management?
IBM is developing AI solutions to enhance quantum resource management1. These solutions include better estimation of quantum runtime, flagging workloads likely to fail, and partitioning circuits for parallel processing to optimize both classical and quantum resources1. IBM is leveraging AI supercomputers and integrating AI technology into the Qiskit software for improved SDK tools and OpenQASM3.