In the past year, there has been a growing focus on the integration of quantum computers with classical computing systems. Quantum computers have the potential to enhance complex calculations beyond the capabilities of traditional supercomputers. Classical computers play a crucial role in preprocessing quantum algorithms and circuits, as well as postprocessing to manage errors and enhance results. The combination of quantum and classical computing, along with the integration of AI technologies, holds great promise for advancing the field of quantum computing.
While AI and quantum computing are distinct technologies, companies like IBM are working towards integrating AI capabilities to enhance quantum computing development. IBM is a leader in both quantum computing and AI technologies, with advancements in hardware, software, and systems. By leveraging its watsonx platform, IBM aims to improve quantum computing with AI-generated digital agents, circuit optimization, resource management, and error correction. The company is committed to integrating AI into quantum computing to accelerate its adoption and improve its usability.
In a recent development, IBM has launched the Quantum System Two and a roadmap to achieve Quantum Advantage. The company is integrating AI technology into its Qiskit software to enhance the usability of SDK and OpenQASM3 tools. Through the use of AI models, IBM is focusing on circuit optimization, resource management, and error suppression in quantum computing. The introduction of the Qiskit Code Assistant service and quantum chatbots will provide support to developers and IT users, further bridging the gap between AI and quantum computing
By incorporating AI models as plugins to the Qiskit SDK, IBM aims to improve circuit optimization and accelerate quantum processing. The company’s research in resource management includes estimating quantum execution time, identifying potential failures, and optimizing circuit splitting for better resource utilization. As IBM works towards reaching milestones such as 100 million gates by 2033, the future of quantum computing looks promising. Heterogeneous data centers are expected to emerge, combining CPUs, AI accelerators, and QPUs to deliver enhanced computing performance.
IBM’s Quantum Development and Innovation Roadmaps outline a strategic approach to advancing quantum computing technology. With a focus on integrating AI capabilities, improving circuit optimization, and enhancing resource management, IBM is paving the way for practical quantum applications in the near future. The convergence of classical computing, AI, and quantum computing is set to revolutionize the technological landscape and drive innovation across various industries.
Article Source
https://www.forbes.com/sites/tiriasresearch/2024/06/24/ibm-develops-the-ai-quantum-link/