Speaker
Description
The performance of superconducting quantum processors is critically limited by the control stack, where traditional systems often rely on black-box abstractions that hinder full-stack co-design. Notably, superconducting qubit control and particle accelerator radio-frequency (RF) control systems can share the same fundamental FPGA-based, software-defined radio architecture. We present QubiC, an open-source quantum control system designed to bridge this gap. QubiC offers a vertically integrated framework that exposes low-level hardware control while maintaining high-level programming abstractions. Its architecture features native, high-bandwidth links to GPUs, enabling advanced capabilities such as AI-driven automated calibration and enhanced quantum state discrimination. We have experimentally validated QubiC by demonstrating high-fidelity control on superconducting processors. Overall, QubiC serves as a powerful platform to accelerate progress toward robust, high-performance quantum computing through hardware-software co-design.
| Abstract Classification | Control Architecture and Strategies |
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