A quantum computing measurement and control system with an FPGA-based scheduling system.

Area of Science:

• Quantum Computing
• Superconducting Qubits
• Control Systems Engineering

Background:

• Current qubit control architectures face scalability challenges with increasing qubit counts in superconducting quantum computing.
• Efficient management of multi-channel, long-sequence pulses is critical for advanced quantum experiments.
• Limited storage and computational resources hinder the expansion of large-scale qubit systems.

Purpose of the Study:

• To develop a scalable control architecture for large-scale superconducting quantum computing.
• To enable the generation of multi-channel, long-sequence pulses with minimal resource utilization.
• To demonstrate a field-programmable gate array (FPGA)-based scheduling system for enhanced qubit control.

Main Methods:

• Designed and implemented a field-programmable gate array (FPGA)-based scheduling system for qubit control.
• Utilized reusable envelope and instruction designs preloaded into electronics for pulse generation.
• Conducted performance tests and characterization experiments, including randomized benchmarking, on the deployed system.

Main Results:

• The FPGA system efficiently generates multi-channel long sequence pulses with minimal storage.
• Achieved a single-qubit relaxation time (T1) of 34.1 μs and dephasing time (T2*) of 25.8 μs.
• Demonstrated an average gate fidelity of 99.962% using randomized benchmarking.

Conclusions:

• The developed FPGA-based scheduling system offers a scalable solution for controlling large-scale superconducting qubit systems.
• The architecture supports extended pulse control lengths and complex experiments without external storage.
• The system's high performance and efficiency pave the way for advancing quantum computing.