### 物理代写|量子计算代写Quantum computer代考|Starting at the Ground Level with Terra

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|Building a Qiskit® quantum program

Generally speaking, there are just a few required building blocks to create a quantum program using Qiskit”. First, you have to set up the required infrastructure and create the quantum circuit (what we call the quantum score in IBM Quantum Experience*). Then, you have to configure a backend to run your quantum program on, and finally execute and retrieve the results of your calculations.

The following section is a summary of the Python building blocks that are required to make up a quantum program.

Listing the required classes, modules, and functions
Qiskit” includes a large number of Python classes, but for our initial foray, we just need the basic ones. These are used to configure each of the components that follow:

• QuantumCircuit: This is used to create the circuit-the program-that you will execute. You will add gates and other components to the circuit.
• QuantumRegister: This represents the qubits that you can use to build your quantum program.
• ClassicalRegister: This represents the classical bits that are used to store the output of your quantum program.
• Aer: This is the Qiskit” simulation layer, which we will discuss in greater detail in Chapter 7, Simulating Quantum Computers with Aer.
• IBMQ: This module is required to execute your quantum programs on actual IBMQ hardware. It includes the tools you need to interact with IBMQ.
• execute: This component lets you run your program by providing the circuit, a backend, and a number of shots.
Working with quantum registers and classical registers
To be able to build your quantum program, you first need to decide how many qubits you want to work with, and how many classical bits you want to include to store your output. You can either set these up explicitly or use the QuantumCircuit class to automatically create the registers.

## 物理代写|量子计算代写Quantum computer代考|Understanding your quantum circuit

The quantum circuit instance that you create will hold the qubits and classical bits. You will manipulate each instance by adding gates.
A quantum program can be assembled by combining more than one quantum circuit. You can, for example, create a circuit that holds the quantum gates and one circuit that holds the measurement gates. You can then add these circuits together to create a main quantum circuit that makes up your quantum program.
Selecting a backend to run on
To be able to execute your quantum program, you must define a backend. A backend can be a local simulator, an IBM Quantum” simulator in the cloud, or actual IBM Quantum” hardware accessed through the cloud.

Initially, we will use the qasm_simulator backend that is included with Qiskit Aer, but we will also run our quantum programs on some of the freely available IBM Quantum” backends.
Running your circuit as a job
You run the quantum program as a job by providing the circuit, a backend, and a number of shots. If you run your quantum programs on IBM Quantum” hardware, you can also include a job monitor to keep track of your place in the queue.
Receiving the results of your job
When your job has run, the results are returned. In these initial recipes, where we use the qasm_simulator backend or the IBM Quantum” hardware, the returned results will be Python dictionaries.

## 物理代写|量子计算代写Quantum computer代考|Quantum coin toss revisited

In this recipe, we will take a closer look at the very first quantum program we created in IBM Quantum Experience – the quantum coin toss. Again, this is arguably the simplest quantum program that still provides real quantum computing value. It demonstrates the probabilistic nature of quantum computing. For a refresher, see Chapter 3, IBM Quantum Experiences $^{*}$ – Quantum Drag and Drop.
In IBM Quantum Experience”, the coin toss program looked like this:

With the quantum coin toss, we will again use the Hadamard gate to create a quantum superposition, and a measurement gate to force the superposition to collapse into one of the two qubit states $|0\rangle$ or $|1\rangle$, representing heads or tails. This time, however, we will create the circuit in Python with Qiskit”, which means that we need to also create the framework for the gates and measurement by defining and creating quantum circuits and classical circuits using Python commands.
This is a quantum circuit that simulates the probabilistic nature of a single qubit in superposition. The 1 -qubit circuit initializes the qubit in the ground state $-|0\rangle-$ and then uses a Hadamard gate to put the qubit in superposition.
During our calculations, the statevector of the qubit looks like this:
$$|\psi\rangle=\frac{|0\rangle+|1\rangle}{\sqrt{2}}$$
Figure $4.2$ – Formula for the statevector of the qubit
You can also write it in the vector form:
$$|\psi\rangle=\left[\begin{array}{c} \frac{1}{\sqrt{2}} \ \frac{1}{\sqrt{2}} \end{array}\right]$$
Figure $4.3$ – Statevector of the qubit in the vector form
Another vector form is the Qiskit” statevector form that you will see in these examples:
$$\left[\begin{array}{lll} 0.70710678+0 . j & 0.70710678+0 . j \end{array}\right]$$
Measuring the qubit causes it to collapse into one of the states $|0\rangle$ or $|1\rangle$ with a $\sim 50 \%$ probability, that is, a coin toss. The result is displayed as a numeric readout, as a bar diagram, and as a Bloch sphere.

## 物理代写|量子计算代写Quantum computer代考|Building a Qiskit® quantum program

Qiskit”包含大量 Python 类，但对于我们最初的尝试，我们只需要基本的类。这些用于配置以下每个组件：

• QuantumCircuit：这用于创建您将执行的电路——程序。您将在电路中添加门和其他组件。
• QuantumRegister：这代表你可以用来构建你的量子程序的量子比特。
• ClassicalRegister：这表示用于存储量子程序输出的经典位。
• Aer：这是 Qiskit 模拟层，我们将在第 7 章用 Aer 模拟量子计算机中更详细地讨论它。
• IBMQ：需要此模块才能在实际 IBMQ 硬件上执行您的量子程序。它包括与 IBMQ 交互所需的工具。
• 执行：此组件允许您通过提供电路、后端和多个镜头来运行程序。
使用量子寄存器和经典寄存器
为了能够构建您的量子程序，您首先需要确定要使用多少量子比特，以及要包含多少经典比特来存储您的输出。您可以显式设置这些，也可以使用 QuantumCircuit 类自动创建寄存器。

## 物理代写|量子计算代写Quantum computer代考|Quantum coin toss revisited

|ψ⟩=|0⟩+|1⟩2

|ψ⟩=[12 12]

[0.70710678+0.j0.70710678+0.j]

## 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。