Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Chinese Journal of Quantum Electronics

Design of FPGA and USB based control board for quantum experiments

Hao Liang

Published Jan 1, 2010• 1 citation
OpenAlex

Abstract

Design and implementation of FPGA-USB-based control board for quantum experiments are discussed. Usage of quantum random number generator, control-logic in FPGA and communication with PC though USB protocol are proposed. Flexible control-signal outputs and inputs are implemented. It has frame auto-sync function when frame error appears.

Related papers

FPGA and USB based control board for quantum random number generator

王坚, 万旭, 张鸿飞 +3 more

为量实验的 FPGA-and-USB-based 控制董事会的设计和实现被讨论。量的用法真随机的数字生成器，控制 -- 在有通过 USB 协议的计算机的 FPGA 和通讯的逻辑在这篇论文被建议。可编程的控制信号输入和输出端口被实现。数据框架头和框架长度的错误察觉被设计。这块板在我们的圈套状态被使用了基于的量钥匙分发(QKD ) 系统成功地。

Optoelectronics Letters•Jan 1, 2009•0 citations

FPGA Utilized to Control the Coincidence Logic of Quantum Entangled Pairs (QEP)

Mohammed Munther A. Majeed, Zuriati Ahmad Zukarnain

Control of quantum signals is very robust design technique and very important in quantum signal processing (QSP). It is not easy in experimentation platforms. Field Programmable Gate Array (FPGA) is using to control very various range of devices in quantum fields through PCs. FPGA needs to run modules of components to communicate and interfacing with the PC, through decode perform commands to direct control of digital hardware’s. If programmer has a real-time control of the FPGA via USB, it can be possible to evaluate design parameters changes in real-time, without reprogramming the FPGA. That makes the proposed design platforms easier for researchers. This paper discusses experiment of control quantum signals by FPGA to control coincidence logic for Quantum Entangled Pair (QEP), that able to measure polarization correlations relationships between photons of the QEP. This FPGA helps to determine detection events at different detectors which can be attributed to a single photon pair. Also to determine the correlation time between two different beams frequencies is extremely accurate according to the delay between the beams, which is very short.

International Journal of Energy•Nov 21, 2021•0 citations

A scalable hardware and software control apparatus for experiments with hybrid quantum systems

Elia Perego, Marco Pomponio, Amelia Detti +3 more

Modern experiments with fundamental quantum systems - like ultracold atoms, trapped ions, and single photons - are managed by a control system formed by a number of input/output electronic channels governed by a computer. In hybrid quantum systems, where two or more quantum systems are combined and made to interact, establishing an efficient control system is particularly challenging due to the higher complexity, especially when each single quantum system is characterized by a different time scale. Here we present a new control apparatus specifically designed to efficiently manage hybrid quantum systems. The apparatus is formed by a network of fast communicating Field Programmable Gate Arrays (FPGAs), the action of which is administrated by a software. Both hardware and software share the same tree-like structure, which ensures a full scalability of the control apparatus. In the hardware, a master board acts on a number of slave boards, each of which is equipped with an FPGA that locally drives analog and digital input/output channels and radiofrequency outputs up to 400 MHz. The software is designed to be a general platform for managing both commercial and home-made instruments in a user-friendly and intuitive graphical user interface. The architecture ensures that complex control protocols can be carried out, such as performing of concurrent commands loops by acting on different channels, the generation of multi-variable error functions, and the implementation of self-optimization procedures. Although designed for managing experiments with hybrid quantum systems, in particular with atom-ion mixtures, this control apparatus can in principle be used in any experiment in atomic, molecular, and optical physics.

arXiv:1901.04851•Review of Scientific Instruments•Nov 1, 2018•22 citations

QubiC: An Open-Source FPGA-Based Control and Measurement System for Superconducting Quantum Information Processors

Yilun Xu, Gang Huang, J. T. Balewski +6 more

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 FPGA (field-programmable gate array) 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 Lawrence Berkeley National Laboratory. The single-qubit and two-qubit process fidelities are measured to be 0.99800.0001 and 0.9480.004 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.

arXiv:2101.00071•IEEE Transactions on Quantum Engineering•Jan 1, 2021•73 citations

Principles of Digital Quantum Coprocessor Based on a FPGA, which Operates under the Control of a Classical Computer

Valerii Hlukhov, Bohdan Havano

Classical quantum computer is analog probabilistic computer. The digital quantum computer that can be implemented in FPGA is described in the article. Digital quantum coprocessor is designed to implement algorithms for execution on analog quantum computers. A digital quantum coprocessor operates under the control of a classical computer and together they are digital quantum computer. The digital quantum coprocessor is a set of digital units called digital qubits that have multibit data input and one bit data output each. The digital qubit is a wave function calculator. There is pseudo random number generator (PRNG) in described digital qubit to generate the probabilistic output bit. One bit qubit output qb is formed by the probable reduction of its multibit result x to one bit (0 or 1) according to result value x and pseudo random code k (x is an angle which determines the position of normalized vector with length 1 in polar grid, it is a result of multibit input data calculation). The decision about output state is made after the functional conversion of the qubit multibit result x to result probability p - sin.x and subsequent comparison p with the pseudo random code k. Qb -1 when kp is described. This variant allows use one PRNG for all digital qubits. Qubit presentation as vector in Bloch's sphere and vector in polar grid is discussed in the work. Also two types of coprocessor data formats (Cartesian and polar) are described. Instruction set of digital quantum coprocessor based in vector presentation in polar coordinates are discussed.

International Conference on Advanced Computer Information Technologies (ACIT)•Jun 1, 2019•3 citations

TRNG integration in FPGA-based QKD Control Electronics

Mohd Razin Ashfaque, Vaibhav Pratap Singh, Mahesh Kondeti +4 more

Our work aims to introduce an FPGA-based electronics architecture designed to enhance the security of quantum key distribution (QKD) networks. The core focus is on integrating a true random number generator (TRNG) IP in an FPGA-based QKD control electronics implemented on Xilinx’s ZYNQ UltraScale+ based FPGA boards. The work presents the challenges in integrating an existing TRNG IP with QKD FPGA design, different bit and timing requirements, the subsequent speed mismatch issues, support for multiple QKD protocols (Coherent One-Way (CoW) and Differential Phase Shift (DPS)) and user-defined QKD implementations. The integrated design also supports external QRNG/TRNG over USB/Ethernet.

IEEE Space, Aerospace and Defence Conference (SPACE)•Jul 22, 2024•1 citation
Control of quantum signals is very robust design technique and very important in quantum signal processing (QSP). It is not easy in experimentation platforms. Field Programmable Gate Array (FPGA) is using to control very various range of devices in quantum fields through PCs. FPGA needs to run modules of components to communicate and interfacing with the PC, through decode perform commands to direct control of digital hardware’s. If programmer has a real-time control of the FPGA via USB, it can be possible to evaluate design parameters changes in real-time, without reprogramming the FPGA. That makes the proposed design platforms easier for researchers. This paper discusses experiment of control quantum signals by FPGA to control coincidence logic for Quantum Entangled Pair (QEP), that able to measure polarization correlations relationships between photons of the QEP. This FPGA helps to determine detection events at different detectors which can be attributed to a single photon pair. Also to determine the correlation time between two different beams frequencies is extremely accurate according to the delay between the beams, which is very short.
Modern experiments with fundamental quantum systems - like ultracold atoms, trapped ions, and single photons - are managed by a control system formed by a number of input/output electronic channels governed by a computer. In hybrid quantum systems, where two or more quantum systems are combined and made to interact, establishing an efficient control system is particularly challenging due to the higher complexity, especially when each single quantum system is characterized by a different time scale. Here we present a new control apparatus specifically designed to efficiently manage hybrid quantum systems. The apparatus is formed by a network of fast communicating Field Programmable Gate Arrays (FPGAs), the action of which is administrated by a software. Both hardware and software share the same tree-like structure, which ensures a full scalability of the control apparatus. In the hardware, a master board acts on a number of slave boards, each of which is equipped with an FPGA that locally drives analog and digital input/output channels and radiofrequency outputs up to 400 MHz. The software is designed to be a general platform for managing both commercial and home-made instruments in a user-friendly and intuitive graphical user interface. The architecture ensures that complex control protocols can be carried out, such as performing of concurrent commands loops by acting on different channels, the generation of multi-variable error functions, and the implementation of self-optimization procedures. Although designed for managing experiments with hybrid quantum systems, in particular with atom-ion mixtures, this control apparatus can in principle be used in any experiment in atomic, molecular, and optical physics.
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 FPGA (field-programmable gate array) 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 Lawrence Berkeley National Laboratory. The single-qubit and two-qubit process fidelities are measured to be 0.99800.0001 and 0.9480.004 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.
Classical quantum computer is analog probabilistic computer. The digital quantum computer that can be implemented in FPGA is described in the article. Digital quantum coprocessor is designed to implement algorithms for execution on analog quantum computers. A digital quantum coprocessor operates under the control of a classical computer and together they are digital quantum computer. The digital quantum coprocessor is a set of digital units called digital qubits that have multibit data input and one bit data output each. The digital qubit is a wave function calculator. There is pseudo random number generator (PRNG) in described digital qubit to generate the probabilistic output bit. One bit qubit output qb is formed by the probable reduction of its multibit result x to one bit (0 or 1) according to result value x and pseudo random code k (x is an angle which determines the position of normalized vector with length 1 in polar grid, it is a result of multibit input data calculation). The decision about output state is made after the functional conversion of the qubit multibit result x to result probability p - sin.x and subsequent comparison p with the pseudo random code k. Qb -1 when kp is described. This variant allows use one PRNG for all digital qubits. Qubit presentation as vector in Bloch's sphere and vector in polar grid is discussed in the work. Also two types of coprocessor data formats (Cartesian and polar) are described. Instruction set of digital quantum coprocessor based in vector presentation in polar coordinates are discussed.
Our work aims to introduce an FPGA-based electronics architecture designed to enhance the security of quantum key distribution (QKD) networks. The core focus is on integrating a true random number generator (TRNG) IP in an FPGA-based QKD control electronics implemented on Xilinx’s ZYNQ UltraScale+ based FPGA boards. The work presents the challenges in integrating an existing TRNG IP with QKD FPGA design, different bit and timing requirements, the subsequent speed mismatch issues, support for multiple QKD protocols (Coherent One-Way (CoW) and Differential Phase Shift (DPS)) and user-defined QKD implementations. The integrated design also supports external QRNG/TRNG over USB/Ethernet.