Lawrence Berkeley National Lab’s new open source control & measurement system for superconducting quantum processors, bridging the quantum algorithm and the quantum hardware implementation layers of the computing stack.
Abstract:
“As quantum information processors grow in quantum bit (qubit) count and functionality, the control and measurement system becomes a limiting factor to large-scale extensibility. To tackle this challenge and keep pace with rapidly evolving classical control requirements, full control stack access is essential to system-level optimization. We design a modular field-programmable gate array (FPGA)-based system called QubiC to control and measure a superconducting quantum processing unit. The system includes room temperature electronics hardware, FPGA gateware, and engineering software. A prototype hardware module is assembled from several commercial off-the-shelf evaluation boards and in-house-developed circuit boards. Gateware and software are designed to implement basic qubit control and measurement protocols. System functionality and performance are demonstrated by performing qubit chip characterization, gate optimization, and randomized benchmarking sequences on a superconducting quantum processor operating at the Advanced Quantum Testbed at the Lawrence Berkeley National Laboratory. The single-qubit and two-qubit process fidelities are measured to be 0.9980 ± 0.0001 and 0.948 ± 0.004, respectively, by randomized benchmarking. With fast circuit sequence loading capability, the QubiC performs randomized compiling experiments efficiently and improves the feasibility of executing more complex algorithms.”
Find the open access technical paper link here. Published 2021.
Y. Xu et al., “QubiC: An Open-Source FPGA-Based Control and Measurement System for Superconducting Quantum Information Processors,” in IEEE Transactions on Quantum Engineering, vol. 2, pp. 1-11, 2021, Art no. 6003811, doi: 10.1109/TQE.2021.3116540.
Find more quantum technical papers here.
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