Preparation of Hadamard Gate for Open Quantum Systems by the Lyapunov Control Method

In this paper, the control laws based on the Lyapunov stability theorem are designed for a two-level open quantum system to prepare the Hadamard gate, which is an important basic gate for the quantum computers. First, the density matrix interested in quantum system is transferred to vector formation.Then, in order to obtain a controller with higher accuracy and faster convergence rate, a Lyapunov function based on the matrix logarithm function is designed. After that, a procedure for the controller design is derived based on the Lyapunov stability theorem. Finally, the numerical simulation experiments for an amplitude damping Markovian open quantum system are performed to prepare the desired quantum gate. The simulation results show that the preparation of Hadamard gate based on the proposed control laws can achieve the fidelity up to 0.9985 for the different coupling strengths.

Implementing remote controlled-NOT gates and entanglement swapping via geometric phase gates in ion-trap systems

We propose a scheme for the implementation of remote controlled-NOT gates and entanglement swapping via geometric phase gates in ion-trap systems. The proposed scheme uses the two ground states of the A-type ions as memory instead of the vibrational mode. And the system is robust against the spontaneous radiation and the dephasing.

Research on reform schemes of control methods of inlet gate in Jiaxin Hydropower Station

The simple gate control system which is made of traditional manual or proximity switch cannot meet the requirements of connecting with the computer monitoring system of hydropower station, it must be reformed. On the basis of the integrated analysis for small hydropower station, the paper discussed the singlechip as the core to realize the methods of gate automatic control system in small hydropower station. The designs for hardware and software of gate control system were introduced. And the control system was reformed from customary manual control to computer automatic control. The simulation experiment shows that this scheme is feasible.

Two-qubit and three-qubit controlled gates with cross-Kerr nonlinearity

Schemes for two-qubit and three-qubit controlled gates based on cross-Kerr nonlinearity are proposed in this paper.The probability of the success of these gates can be increased by quantum nondemolition detectors,which are used to judge which paths the signal photons pass through.These schemes are almost deterministic and require no ancilla photon.The advantages of these gates over the existing ones include less resource consumption and a higher probability of success,which make our schemes more feasible with current technology.

Nonlocal multi-target controlled controlled gate using Greenberger–Horne–Zeilinger channel and qutrit catalysis

We present a scheme for implementing locally a nonlocal N-target controlled–controlled gate with unit probability of success by harnessing two（N＋1）-qubit Greenberger–Horne–Zeilinger（GHZ） states as quantum channel and N qutrits as catalyser. The quantum network that implements this nonlocal（N＋2）-body gate is built entirely of local single-body and two-body gates, and has only（3N＋2） two-body gates. This result suggests that both the computational depth of quantum network and the quantum resources required to perform this nonlocal gate might be significantly reduced. This scheme can be generalized straightforwardly to implement a nonlocal N-target and M-control qubits gate.

One step to generate quantum controlled phase-shift gate using a trapped ion

This paper presents a very simple scheme for generating quantum controlled phase-shift gate with only one step by using the two vibrational modes of a trapped ion as the two qubits. The scheme couples two vibration degrees of freedom coupled with a suitable chosen laser excitation via the ionic states.

Direct implementation of a scalable non-local multi-qubit controlled phase gate via optical fibres and adiabatic passage

This paper presents a direct implementation scheme of the non-local multi-qubit controlled phase gate by using optical fibres and adiabatic passage. The smaller operation number for implementing the multi-qubit controlled phase gate and needlessness for addressing individually save physical resource and lower the difficulties of experiment. Mean- while, the scheme is immune from some decoherence effects such as the atomic spontaneous emission and fibre loss. In principle, it is scalable.

The Design of PSM-Based ECRH Power Supply Control System

Electron cyclotron resonance heating (ECRH) system is one of the most important Tokamak auxiliary heating methods. However, there are growing demands for ECRH system as the physical experiments progress which meanwhile adds the difficulty of designing and building the control system of its power source. In this paper, the method of designing a control system based on Single Chip Microcomputer (SCM) and Field Programmable Gate Array (FPGA) is introduced according to its main requirements. The experimental results show that the control system in this paper achieves the conversion of different working modes, gets exact timing, and realizes the failure protection in 10us thus can be used in the ECRH system.

智能感潮系统在江都东闸的应用

通过智能感潮系统判断潮位涨落趋势、及时预报引潮开关闸时间,按时自动开关闸引潮,大大减轻了运行值班人员的劳动强度,提高了工作效率,同时避免因人为因素导致引潮不及时,确保最大限度地引水,提升水闸精准调度水平,确保工程安全应用和效益的充分发挥。

AFBNet: A Lightweight Adaptive Feature Fusion Module for Super-Resolution Algorithms

At present,super-resolution algorithms are employed to tackle the challenge of low image resolution,but it is difficult to extract differentiated feature details based on various inputs,resulting in poor generalization ability.Given this situation,this study first analyzes the features of some feature extraction modules of the current super-resolution algorithm and then proposes an adaptive feature fusion block(AFB)for feature extraction.This module mainly comprises dynamic convolution,attention mechanism,and pixel-based gating mechanism.Combined with dynamic convolution with scale information,the network can extract more differentiated feature information.The introduction of a channel spatial attention mechanism combined with multi-feature fusion further enables the network to retain more important feature information.Dynamic convolution and pixel-based gating mechanisms enhance the module’s adaptability.Finally,a comparative experiment of a super-resolution algorithm based on the AFB module is designed to substantiate the efficiency of the AFB module.The results revealed that the network combined with the AFB module has stronger generalization ability and expression ability.

多波束测深声呐自主数据质量监测及门限控制

为满足水面无人艇等海洋无人平台的需求,确保多波束测深声呐系统在无人监控和参数调节下具备可靠自主工作能力,本文提出一种数据质量在线监测及门限参数控制方法。通过建立基于质量和异常因子的监测模型,结合粒子滤波技术,提高海底地形跟踪门限控制抗差性。仿真和湖上试验显示该方法能判定数据有效性、适应地形变化,并提供合理深度门限,适用于多波束测深声呐系统的在线数据质量监测和无人自主控制。

闸门控制系统油缸行程偏差修正模型研究

针对闸门控制系统中油缸行程随开度变化而造成测量偏差的问题,本文通过行程测量装置研究了闸门开度与偏差数据的关系,并根据其非线性关系进行多项式拟合,建立行程偏差修正模型,对闸门的行程实现精确补偿。实验结果表明,经过偏差修正后,闸门启动和停止均正常运行,修正前的最大相对偏差由7.84%减小到修正后的最大相对偏差0.61%,且随着开度的变化,油缸行程偏差无明显波动,提高了闸门安全运行的可靠性。

基于GRU-BP算法的高精度动态物流称重系统

针对动态物流秤测量精度对载重、采样频率、带速较为敏感的问题,提出了一种高精度动态物流称重系统。首先,采用三因素五水平正交试验法,结合皮尔逊相关性检验原则,使用低通巴特沃斯与卡尔曼滤波器对传感器压力信号进行了滤波降噪处理,并将加速度信号作为模型输入信号,进行了特征补偿;然后,基于深度学习算法,提出了一种改进的门控循环单元模型,在该模型采样区间内将压力与振动改写为时序化信号,并将其共同输入门控循环单元(GRU)模型;最后,对GRU模型进行了改进,对其结构输出了层堆叠误差反向传播神经网络(BP),有效加强了模型的非线性映射能力。研究结果表明:在各类传动速度及测试货物下,该模型的最大测量误差相对于同类型深度学习模型长短期记忆(LSTM)神经网络、循环神经网络(RNN)时序模型及传统数值平均模型的误差,依次降低了16.14%、27.14%、76%,可用于各类称重系统。

给煤机出稀煤闸门自动调节系统研发与应用

针对主煤仓下落到甲带式给煤机的煤为稀煤时引发的欻煤现象,设计了一种基于PLC控制的、应用于甲带式给煤机的出稀煤闸门自动调节系统。系统建立4个等级的避险级别,先按照避险级别进行大程度的闸门关闭,再进行PID模糊控制恢复输送量,同时对PLC进行仿真实验。研究表明,通过PLC控制器可以实时调节闸门的开启程度,并且在三元煤业进行试验与应用,实现了对欻煤事故的预防和处理。

基于FPGA误差可控的浮点运算加速器研究

浮点运算是高性能计算(HPC)领域的基础运算。在大数据与云计算的背景下,高性能计算平台需要处理的数据量与日俱增,而且浮点数的舍入误差在大规模、长时程的运算中会产生累积,因此,在提升浮点运算性能的同时保证计算结果的可靠性非常重要。利用现场可编程门阵列(FPGA)可编程、低功耗、灵活性强的特点,针对含复杂单项运算的浮点多项式设计一种浮点运算加速器。基于无误差变换的思想,通过计算得出舍入误差值,将其补偿到浮点数值上,从而实现误差可控。采用异步并行的方式实现运算加速,并通过构建CPU-FPGA平台最大化地利用计算资源,保证计算任务执行的高效性。数据测试结果表明:在不限制对称性下的数值相对论模拟运算中,该加速器在200 MHz的主频下可达到91.85 MFLOPs的峰值性能;与Intel i76700K CPU运行最大线程数的性能相比,该加速器实现了50.54的加速比,并在该条件下获得了平均53.6%的精确结果百分比以及更低的相对误差,表明其具备较高的可靠性。

基于FPGA的中波广播发射台自动化播控系统设计

为提高中波广播发射台播控系统的自动化水平,引入现场可编程门阵列(Field Programmable Gate Array,FPGA)技术,提出一种新的系统软硬件设计方案。实验结果表明,该方案可有效提高播控效率,为中波广播发射台实现自动化提供可行的技术路径。

Allowable Generalized Quantum Gates Using Nonlinear Quantum Optics

In this paper, we give an efficient physical realization of a double-slit duality quantum gate. Weak cross- Kerr nonlinearity is exploited here. The probability of success can reach 1/2. Asymmetrical slit duality control gate also can be constructed conveniently. The special quantum control gate could be realized easily in optical system by our current experimental technology.

Algorithm of Dynamic Operation Process of Hydraulic Automatically Operated Canals with Constant-Downstream Level Gates

On the basis of analysis the governing process of downstream water level gates AVIO and AVIS, a mathematical model for simulation of dynamic operation process of hydraulically automated irrigation canals instalIed with AVIO and AVIS gates is presented, the main point of this rnathematical model is firstly applying a set of unsteady flow equations （St. Venant equations here） and treating the condition of gate movement as its dynamic boundary, and then deeoupling this interaction of gate movement with the change of canal flow. In this process, it is necessary to give the gateg open-loop transfer function whose input is water level deviation and output is gate discharge. The result of this simulation for a practical reach has shown it has satisfactory accuracy.

基于反演控制的DC-MMC双闭环解耦控制策略研究

随着大量分布式电源投入电网,分压式模块化多电平直流变换器(DC-MMC)得到广泛应用。针对模块化多电平变换器控制系统多输入多输出、强耦合非线性的特点,推导变换器拓扑数学模型,建立此类拓扑的电流和能量模型,提出一种基于反演控制的双闭环解耦控制方法。通过消除系统之间的耦合,采用模型反演理论对所建解耦模型进行控制,实现桥臂电流保持稳定并交流分量最小化,增强系统的抗扰动能力。在Matlab/Simulink中搭建DC-MMC双闭环模型,分析表明闭环控制模型具有良好的跟踪效果和调控特性,验证了提出的控制策略控制桥臂电流及高低压侧电流的可行性和有效性,为解耦控制的应用提供了参考依据。

Development of a Reconfigurable Platform for Manufacturing Equipment Control

In modern manufacturing equipment control area,controller is required to deliver higher computing capability for adopting advanced algorithms to meet speed and accuracy requirements,and reconfigurabilities for changing or(and)adding features or functions.This paper presents a methodology in design and implementation of a high performance and reconfigurable platform for manufacturing equipment control.This methodology is in virtue of system on a programmable chip(SoPC)technolo- gy but replacing the on-chip processor by an external high performance,floating-point digital signal processor(DSP).The appli- cation of the DSP is designed as a multi-threaded framework,which has more flexibilities than a traditional single-loop one.Fur- thermore,the field programmable gate array(FPGA)system can be reconfigured easily and quickly to meet a new requirement by dragging and dropping pre-built components in a SoPC building environment.As a result,the controller platform is more recon- figurable in terms of algorithms and functions.This platform is implemented in a 3-axis milling machine control and the result indicates that the design and implementation presented in this paper is feasible.