Published systematic literature review on quantum machine learning and its applications in Computer Science Review journal. Analyzed 94 studies from 2017-2023, identifying two primary algorithm categories and highlighting image classification as a key application area, while noting that quantum hardware improvements are necessary for QML full potential.
IBM Quantum team recruiting AI Engineer interns based in Spain to work on introducing new AI-based capabilities in the software stack, including AI circuit transpilers compatible with Qiskit and LLM-powered code assistants. Interns will support AI model training, deployment, software service development, and MLOps work.
Honored by major announcements from IBM Quantum Summit 2023, including IBM Heron chip with 3-5x performance improvement, 1,121-processor Condor system, operational Quantum System Two, Qiskit 1.0 release, Quantum Serverless beta, and AI integration for automated code development and enhanced transpiler tools.