FPGA-based electronic system for the control and readout of superconducting quantum processors

• URL: http://arxiv.org/abs/2110.07965v4
• Date: Wed, 29 Jun 2022 09:41:33 GMT
• Title: FPGA-based electronic system for the control and readout of superconducting quantum processors
• Authors: Yuchen Yang, Zhongtao Shen, Xing Zhu, Ziqi Wang, Gengyan Zhang, Jingwei Zhou, Xun Jiang, Chunqing Deng, and Shubin Liu
• Abstract summary: Electronic systems for qubit control and measurement serve as a bridge between quantum programming language and quantum information processors. We present a field-programmable gate array (FPGA)-based electronic system with a distributed synchronous clock and trigger architecture.
• Score: 7.579273452291658
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Electronic systems for qubit control and measurement serve as a bridge between quantum programming language and quantum information processors. With the rapid development of superconducting quantum circuit (SQC) technology, synchronization in a large-scale system, low-latency execution, and low noise are required for electronic systems. Here, we present a field-programmable gate array (FPGA)-based electronic system with a distributed synchronous clock and trigger architecture. The system supports synchronous control of qubits with jitters of approximately 5 ps. We implement a real-time digital signal processing system in the FPGA, enabling precise timing control, arbitrary waveform generation, IQ demodulation for qubit state discrimination, and the generation of real-time qubit-state-dependent trigger signals for feedback/feedforward control. The hardware and firmware low-latency design reduces the feedback/feedforward latency of the electronic system to 125 ns, significantly less than the decoherence times of the qubit. Finally, we demonstrate the functionalities and low-noise performance of this system using a fluxonium quantum processor.

Related papers

• Demonstrating real-time and low-latency quantum error correction with superconducting qubits [52.08698178354922]
  We demonstrate low-latency feedback with a scalable FPGA decoder integrated into a superconducting quantum processor. We observe logical error suppression as the number of decoding rounds is increased. The decoder throughput and latency developed in this work, combined with continued device improvements, unlock the next generation of experiments.
  arXiv  Detail & Related papers  (2024-10-07T17:07:18Z)
• Quantum Compiling with Reinforcement Learning on a Superconducting Processor [55.135709564322624]
  We develop a reinforcement learning-based quantum compiler for a superconducting processor. We demonstrate its capability of discovering novel and hardware-amenable circuits with short lengths. Our study exemplifies the codesign of the software with hardware for efficient quantum compilation.
  arXiv  Detail & Related papers  (2024-06-18T01:49:48Z)
• Microwave signal processing using an analog quantum reservoir computer [5.236242306967409]
  We show how a superconducting circuit can be used as an analog quantum reservoir for a variety of classification tasks. Our work does not attempt to address the question of whether QRCs could provide a quantum computational advantage.
  arXiv  Detail & Related papers  (2023-12-26T18:54:36Z)
• A system design approach toward integrated cryogenic quantum control systems [0.3182204845791219]
  We provide a system level perspective on the design of control electronics for large scale quantum systems. Cryogenic CMOS plays a crucial role in the realization of scalable quantum computers.
  arXiv  Detail & Related papers  (2022-11-03T18:24:27Z)
• Design and analysis of digital communication within an SoC-based control system for trapped-ion quantum computing [0.0]
  We evaluate the performance of modern System-on-Chip (SoC) architectures in meeting the control demands associated with performing quantum gates on trapped-ion qubits. This paper focuses on trapped-ion control systems, the gate abstraction scheme and measured communication rates are applicable to a broad range of quantum computing technologies.
  arXiv  Detail & Related papers  (2022-09-30T17:28:32Z)
• SQ-CARS: A Scalable Quantum Control and Readout System [1.304268238836389]
  SQ-CARS is a system based on the ZCU111 evaluation kit to control and measure superconducting qubits. The system offers an interactive Python framework, making it user-friendly. It also features on-board data processing like tunable low pass filters and rotation blocks, enabling lock-in detection and low-latency active feedback for quantum experiments.
  arXiv  Detail & Related papers  (2022-03-03T05:33:11Z)
• Pulse-level noisy quantum circuits with QuTiP [53.356579534933765]
  We introduce new tools in qutip-qip, QuTiP's quantum information processing package. These tools simulate quantum circuits at the pulse level, leveraging QuTiP's quantum dynamics solvers and control optimization features. We show how quantum circuits can be compiled on simulated processors, with control pulses acting on a target Hamiltonian.
  arXiv  Detail & Related papers  (2021-05-20T17:06:52Z)
• Entangling Quantum Generative Adversarial Networks [53.25397072813582]
  We propose a new type of architecture for quantum generative adversarial networks (entangling quantum GAN, EQ-GAN) We show that EQ-GAN has additional robustness against coherent errors and demonstrate the effectiveness of EQ-GAN experimentally in a Google Sycamore superconducting quantum processor.
  arXiv  Detail & Related papers  (2021-04-30T20:38:41Z)
• QubiC: An open source FPGA-based control and measurement system for superconducting quantum information processors [5.310385728746101]
  We design a modular FPGA based system called QubiC to control and measure a superconducting quantum processing unit. A prototype hardware module is assembled from several commercial off-the-shelf evaluation boards and in-house developed circuit boards. System functionality and performance are demonstrated by performing qubit chip characterization, gate optimization, and randomized benchmarking sequences.
  arXiv  Detail & Related papers  (2020-12-31T21:06:28Z)
• Extending XACC for Quantum Optimal Control [70.19683407682642]
  Quantum computing vendors are beginning to open up application programming for direct pulse-level quantum control. We present an extension to the XACC system-level quantum-classical software framework. This extension enables the translation of digital quantum circuit representations to equivalent pulse sequences.
  arXiv  Detail & Related papers  (2020-06-04T13:13:55Z)
• Enabling Pulse-level Programming, Compilation, and Execution in XACC [78.8942067357231]
  Gate-model quantum processing units (QPUs) are currently available from vendors over the cloud. Digital quantum programming approaches exist to run low-depth circuits on physical hardware. Vendors are beginning to open this pulse-level control system to the public via specified interfaces.
  arXiv  Detail & Related papers  (2020-03-26T15:08:32Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.