
Soon Teh developed the Quantum Abstract Machine (QUAM) framework within the qua-platform/qua-libs repository, focusing on enabling reproducible and automated quantum experiments for trapped ion qubits. Leveraging Python and the QUAM framework, Soon designed abstractions for experiment management and macro or pulse customization, allowing flexible control of quantum systems. The work included implementing a workflow for QUAM object setup, single-qubit gate execution, and parameter optimization, all supported by comprehensive hands-on documentation. By integrating control systems expertise and quantum computing tools such as Qiskit, Soon established a foundation that streamlines onboarding and supports scalable, end-to-end experimentation for future contributors.

September 2025 monthly summary focusing on delivering the Quantum Abstract Machine (QUAM) framework within qua-libs, accompanied by a practical tutorial for trapped ion qubits. The work established an end-to-end path from QUAM object setup to single-qubit gate execution and parameter optimization, with abstractions for experiment management and macro/pulse customization to control quantum systems. This lays the foundation for reproducible experiments, scalable automation, and faster onboarding for new contributors.
September 2025 monthly summary focusing on delivering the Quantum Abstract Machine (QUAM) framework within qua-libs, accompanied by a practical tutorial for trapped ion qubits. The work established an end-to-end path from QUAM object setup to single-qubit gate execution and parameter optimization, with abstractions for experiment management and macro/pulse customization to control quantum systems. This lays the foundation for reproducible experiments, scalable automation, and faster onboarding for new contributors.
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