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| Poster (Invited) | FZJ-2022-03645 |
2022
Please use a persistent id in citations: http://hdl.handle.net/2128/32026
Abstract: Quantum computers are promising to solve tasks that seem unsolvable with state-of-the-art computers. Because of the significant progress in qubit quality, error correction and scaling quantum computing is of increasing industrial interest. Many open scientific and engineering challenges need to be solved for the realization of a universal quantum computer. Within QSolid the Central Institute of Engineering, Electronics and Analytics - Electronic Systems (ZEA-2) at Forschungszentrum Jülich will be driving the development of an integrated quantum computing demonstrator system. This demonstrator is fully embedded in an HPC system, based on cryogenic superconducting quantum processors. The quantum processor is integrated in a fully developed hardware system with control, readout, and infrastructure down to specific optimized firmware and software. To solve the challenges of implementing such a complex system, it is essential to combine quantum expert knowledge with industrial systems engineering. The technical requirements are developed together with PGI-13 from Forschungszentrum Jülich. In parallel the system architecture of the control electronics for control pulse generation and data acquisition as well as low-level processing performed in real-time on an FPGA is defined together with the partner IPE from KIT. Quantum Control Systems from commercial vendors show significant limitations in terms of full control over hardware, firmware and software behavior as well as further performance improvements. While QSolid scales to Keystone- and Moonshot QPUs with up 30 Qubits, commercial control system solutions are typically not fully customized, providing a larger feature set than required. Therefore, tailored room temperature electronics will be implemented for the full-scale demonstrator to control the quantum processor. This will provide a flexible control over the behavior of the electronics, which is an essential prerequisite for the ultimate optimization of fidelities and a prerequisite for full parallelizability.
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