### 物理代写|量子计算代写Quantum computer代考|IBM Quantum Experience® – Quantum Drag and Drop

statistics-lab™ 为您的留学生涯保驾护航 在代写量子计算Quantum computer方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写量子计算Quantum computer代写方面经验极为丰富，各种代写量子计算Quantum computer相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 物理代写|量子计算代写Quantum computer代考|A quick introduction to quantum gates

Now that we have sorted out the difference between bits and qubits, and have also understood how to visualize the qubit as a Bloch sphere, we know all that there is to know about qubits, correct? Well, not quite. A qubit, or for that matter, hundreds or thousands of qubits, is not the only thing you need to make a quantum computer! You need to perform logical operations on and with the qubits. For this, just like a classical computer, we need logical gates.
I will not go into any great detail on how logical gates work, but suffice to say that a quantum gate, operates on the input of one or more qubits and outputs a result.
In this recipe, we will work our way through the mathematical interpretation of few quantum gates by using matrix multiplication of single- and multi-qubit gates. Don’t worry, we will not dig deep, just a little to scratch the surface. You will find a deeper look quantum gates in Chapter 6, Understanding the Qiskit Gate Library.
Again, we will not be building any actual Qiskit quantum circuits just yet. We are still using more or less plain Python with some NumPy matrix manipulations to prove our points.

## 物理代写|量子计算代写Quantum computer代考|Introducing IBM Quantum Experience®

IBM Quantum Experience ${ }^{“}$ is an open platform available for someone to start their quantum computing journey. In it, you have free access to a number of IBM quantum computers, ranging in size from a single qubit to 15 qubits (at the time of writing), as well as a 32 -qubit simulator that runs on IBM POWER9” hardware. That’s a lot of power at your fingertips.
IBM Quantum Experience” opened its doors in May 2016, in a world-first announcement that the public would now have access to actual quantum computing hardware in the cloud. Since then, several other companies have announced similar initiatives and opened up for cloud quantum computing, initially on simulators. Notable among this crowd are Google, Microsoft, Rigetti, Qutech, and more. As of this book’s writing, IBM gives free access to both hardware and software quantum computing through its IBM Quantum Experience”, we will focus on that platform.

You are now on the main IBM Quantum Experience” landing page from which you can access all the quantum experience tools.

From here, you will see the following:

• In the right pane, we have backends that are available to you. Clicking on each brings up a data page with the access status, provider access, chip structure and error rate data, the number of qubits, a list of basis gates, and more.
• In the center area, you find your workbench. There’s a list of recent circuits, currently running experiments, and your previous experiment results; when you first drop in here, it will be quite empty. From this area, you can also manage your user profile, configure notifications, get your API key, and more.
• To the left, we have the main tools and help resources. These are described in more detail in the next section’s How to do it….

## 物理代写|量子计算代写Quantum computer代考|Building quantum scores with Circuit

This recipe will walk you through the basic steps of creating a quantum score in IBM Quantum Experience”, to get a feel for how the composer works, how to build and modify a score, and finally how to analyze the score step by step using the Inspect feature.
Drag-and-drop programming
The recipes in this chapter will be run in the IBM Quantum Experience” web environment, using the drag-and-drop interface, which nicely visualizes what you are doing in an intuitive way.
How to do it…
Let’s build ourselves a little quantum score:

2. In the left pane, select Circuit Composer.
This opens the composer to a blank Untitled circuit.
1. Optional: Set the number of qubits to play with.
In the default setting, you will see three lines, much like a music score (hence the term quantum score). Each line represents one of your qubits, and the basic score is designed for a 5-qubit machine. As you will see in the Comparing backends recipe in Chapter 5, Touring the IBM Quantum “Hardware with Qiskit”, this is currently the most common setup for the free IBM quantum machines.

For this example, we want to use only 1 qubit for clarity. If we use all five, the results that will be displayed will also include the results of the four we won’t be using, which can be confusing.

So, in the Untitled circuit tab that you just opened, hover over a qubit label $\left(\mathbf{q}_{0}\right)$. The label shifts to a trash can icon. Use this icon to remove qubits until you have one left. Your quantum score now has only one line.

## 物理代写|量子计算代写Quantum computer代考|Introducing IBM Quantum Experience®

IBM 量子体验“是一个开放平台，可供人们开始他们的量子计算之旅。在其中，您可以免费访问许多 IBM 量子计算机，大小从单个 qubit 到 15 qubit（在撰写本文时）不等，以及在 IBM POWER9 硬件上运行的 32 qubit 模拟器。触手可及的强大功能。
IBM Quantum Experience”于 2016 年 5 月开业，这是世界上第一次宣布公众现在可以访问云中的实际量子计算硬件。从那时起，其他几家公司也宣布了类似的举措，并开始使用云量子计算，最初是在模拟器上。在这群人中值得注意的是谷歌、微软、Rigetti、Qutech 等。在撰写本书时，IBM 通过其 IBM Quantum Experience 提供了对硬件和软件量子计算的免费访问”，我们将重点关注该平台。

• 在右侧窗格中，我们有可供您使用的后端。单击每个会打开一个数据页面，其中包含访问状态、提供商访问、芯片结构和错误率数据、量子比特数、基础门列表等。
• 在中心区域，您可以找到您的工作台。有一个最近的电路列表，当前正在运行的实验，以及你以前的实验结果；当你第一次来这里时，它会很空。在此区域，您还可以管理您的用户配置文件、配置通知、获取您的 API 密钥等等。
• 在左侧，我们有主要工具和帮助资源。这些将在下一节的如何做……中更详细地描述。

## 物理代写|量子计算代写Quantum computer代考|Building quantum scores with Circuit

1. 从您的 Web 浏览器（Chrome 似乎效果最好），转到以下 URL，然后使用您的 IBM Quantum Experience 帐户登录：https:/quantumcomputing。IBM , com/.
2. 在左侧窗格中，选择 Circuit Composer。
这会将作曲家打开到一个空白的无标题电路。
3. 可选：设置要使用的量子比特数。
在默认设置中，您将看到三行，很像乐谱（因此称为量子乐谱）。每条线代表你的一个量子位，基本分数是为 5 量子位机器设计的。正如您将在第 5 章“使用 Qiskit 浏览 IBM Quantum 硬件”中的比较后端秘籍中看到的，这是目前免费的 IBM 量子机器最常见的设置。

## 有限元方法代写

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。