### 物理代写|量子计算代写Quantum computer代考|Tossing a quantum coin

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
• Advanced Probability Theory 高等概率论
• Advanced Mathematical Statistics 高等数理统计学
• (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|Tossing a quantum coin

One of the examples I use is what is arguably the simplest useful quantum program that you can build: a simulated coin toss.
We will go into more detail about the quantum coin toss in Chapter 4, Starting at the Ground Level with Terra, but I will use that program as an example here. It is very small, and not too complicated to understand.
As we discussed briefly in Chapter 2, Quantum Computing and Qubits with Python, a quantum computer, in contrast to a classical computer, provides you with probabilistic, or randomized, computation. In this case, we set up our qubit as a superposition that results in probabilities to get an outcome of 0 or 1 , or heads or tails in coin toss nomenclature, when we measure the qubit.

Build the quantum circuit and then run it. This is the circuit we will come back to later in the book, on the Qiskit” side of things:

1. Log in to IBM Quantum Experience at https: / quantum-computing . ibm. com/composer.
2. From IBM Quantum Experience”, select Circuit Composer from the left pane.
3. Create a new circuit.
4. Find the gates that you need.
In this recipe, we will just use two quantum instructions, one of which we briefly discussed in Chapter 2, Quantum Computing and Qubits with Python, in the Hadamard gate recipe. Remember that the H gate takes the input qubit and creates a superposition.
We will also use a measurement instruction to measure the qubit and write the result to the classical bit line at the bottom of the score.

## 物理代写|量子计算代写Quantum computer代考|Moving between worlds

Now you have seen how to create your quantum scores in Circuit Composer, and how to run them on a simulator, and on a real IBM quantum computer. But the rest of the book will be about working in Qiskit” with your programs. Do we just say farewell to IBM Quantum Experience” then?
Not so fast. IBM Quantum Experience ${ }^{*}$ is a great environment for learning how to build quantum scores, and you do not have to troubleshoot Python code or worry about your environment being up to date (IBM takes care of that for you), and it is actually pretty easy to take what you create in IBM Quantum Experience and just move it over to Qiskit”.
You have two options:

• Qiskit”: With Qiskit” code export, your quantum score is translated into Python code that you can paste directly into your Python interpreter and run. This is a one-way trip from IBM Quantum Experience” to Qiskit”.

## 物理代写|量子计算代写Quantum computer代考|Technical requirements

display (qc.draw (‘mpl’)) 这个例子将量子电路 qc 打印到 iPython 控制台。

## 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。