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Apress eBooks

Qiskit Metal and Introduction to Chip Design

Subhojit Halder, Kinjal A. Chauhan, Muhamad Bagher Barfar, Srinjoy Ganguly, Shalini Devendrababu

Published Jan 1, 2025• 0 citations
Publisher

Abstract

As discussed in previous chapters, the Qiskit Metal framework plays a crucial role in designing superconducting qubits. Moving forward, we will use this framework extensively for simulations, where we’ll need to code specific parameters to generate simulations, matrices, and desired outputs. The framework is built using the Python programming language, and Qiskit Metal supports a Python IDE, which facilitates efficient coding. In this chapter, we will explore how to write Python code to develop superconducting circuits. However, before diving directly into the code for superconducting qubits, it is essential to understand some basic concepts.

DOI
10.1007/979-8-8688-1504-1_4

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One of the fundamental steps for realizing a quantum computing circuit is the coding aspect of it. Quantum computing simulations and realizing quantum computing circuits need coding and that too as expected a pretty complex method of coding. In this segment, we will understand coding in Python by developing simple circuits and code for understanding the basics of circuit building using basic quantum gates such as CNOT gates, Hadamard gates, Pauli gates, and more. This chapter will provide a slight insight into all the gates the Qiskit framework offers. So, let’s start with a short description followed by an intro to quantum gates present in the Qiskit module that will help us in coding the circuits.

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Apress eBooks•Jan 1, 2018•3 citations

Simulating Quantum Hardware using Qiskit Metal

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The process of building a quantum circuit often consists of several steps. We need a quantum framework that enables us to create these circuits and a simulation environment that enables us to analyse the circuit in order to execute these circuits. Qiskit Metal, an open-source framework made available by IBM, is the name of the quantum framework we used. Ansys Electronic Desktop is the modelling software used to evaluate these built-in circuits. In this paper, we go over how to build a quantum circuit and its simulation on Ansys’ electronic desktop. The conventional methods of modelling the circuit—manually by launching the project in Ansys or automatically through a code—don’t always work. This paper will examine the alternative ways of allowing simulations on quantum hardware projects.

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Instituting Superconducting Qubits for Scientists and Engineers

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In the last two decades, a spectacular development in the superconducting qubits has been accomplished experimentally as well as theoretically. The main reason for that is the realization that superconducting qubits can play a crucial role in the emergent field of quantum information processing and quantum computing. The interaction of superconducting qubits with the quantized electromagnetic field leads to make the circuit quantum electrodynamics, inspired by cavity quantum electrodynamics. The field of superconducting qubits and circuit QED is fast growing and branching to diverse applications in multidisciplinary fields. This makes it harder for first-time readers to follow-up. Therefore, this article is targeting to introduce in an intuitive way the topic of superconducting qubit and circuit QED by giving all the mathematical background, Lagrangian formalism for electric circuits, interaction Hamiltonian, and contextual physical interpretation essential to anew scientists and engineers planning to be specialized in this field as well as portraying a wide vantage for higher studies through the suggested recommendation resulted from the simulated examples and written code based on Python packages and Qiskit software. In this article, the superconducting qubits, transmon and fluxonium, are reviewed after introducing the abstract definition of a quantum bit. Moreover, light-matter interaction in fluxonium qubit and quantization of transmission line resonator are discussed briefly. Some of the simulated systems such as the energy levels of fluxonium as a function of offset flux are presented. Finally, applications of superconducting qubits in quantum computing and other fields such as quantum transistors, quantum machines and metamaterials are discussed. Index Terms Superconducting qubits, circuit QED, quantum logic gate, fluxonium, transmon.

•Jan 1, 2025•0 citations
As discussed in previous chapters, the Qiskit Metal framework plays a crucial role in designing superconducting qubits. Moving forward, we will use this framework extensively for simulations, where we’ll need to code specific parameters to generate simulations, matrices, and desired outputs. The framework is built using the Python programming language, and Qiskit Metal supports a Python IDE, which facilitates efficient coding. In this chapter, we will explore how to write Python code to develop superconducting circuits. However, before diving directly into the code for superconducting qubits, it is essential to understand some basic concepts.
One of the fundamental steps for realizing a quantum computing circuit is the coding aspect of it. Quantum computing simulations and realizing quantum computing circuits need coding and that too as expected a pretty complex method of coding. In this segment, we will understand coding in Python by developing simple circuits and code for understanding the basics of circuit building using basic quantum gates such as CNOT gates, Hadamard gates, Pauli gates, and more. This chapter will provide a slight insight into all the gates the Qiskit framework offers. So, let’s start with a short description followed by an intro to quantum gates present in the Qiskit module that will help us in coding the circuits.
In this chapter you will get started with the QISKit, the best SDK out there for quantum programming. You will learn how easy it is to install the SDK in your local system. But before writing your first quantum program, it is always helpful to understand what quantum computation is and how it differs from classical computation. For this purpose, a very basic explanation of qubit states and quantum gates is presented using linear algebra. This section also shows how quantum computation can mirror its classical counterpart and furthermore find shortcuts to get results faster. Next, the chapter walks through the anatomy of a quantum program including system calls, circuit compilation formats, quantum assembly, and more.
The process of building a quantum circuit often consists of several steps. We need a quantum framework that enables us to create these circuits and a simulation environment that enables us to analyse the circuit in order to execute these circuits. Qiskit Metal, an open-source framework made available by IBM, is the name of the quantum framework we used. Ansys Electronic Desktop is the modelling software used to evaluate these built-in circuits. In this paper, we go over how to build a quantum circuit and its simulation on Ansys’ electronic desktop. The conventional methods of modelling the circuit—manually by launching the project in Ansys or automatically through a code—don’t always work. This paper will examine the alternative ways of allowing simulations on quantum hardware projects.
This paper explains the roadmap for running quantum circuit programs based on the Qiskit library in quantum simulators as well as real cloud-based IBM quantum computers. Qiskit is a free and open-source software development platform based on the Python programming language that is used in quantum programming. Qiskit acts as a link between quantum computing’s theoretical foundations and the practical aspects of programming and experimentation. It also allows users to experiment with and develop quantum algorithms, as well as simulate and execute them on simulators and real-world cloud-based quantum devices. It also simplifies the quantum programming process and allows a diverse range of people to participate in the exciting world of quantum computing. The paper, on the other hand, provides the mathematical foundation for analyzing quantum circuits and algorithms using linear algebra principles, as they provide the tools needed to describe and manipulate quantum states and operations. Furthermore, the paper shows quantum circuit design and implementation using real Qiskit codes.
As the field of Quantum Computing continues to grow, so too has the general public's interest in testing some of the publicly available quantum computers. However, many might find learning all of the supplementary information that goes into quantum algorithms to be a daunting task, and become discouraged. This tutorial is a series of lessons, aimed to teach the basics of quantum algorithms to those who may have little to no background in quantum physics and/or minimal knowledge of coding in python. Each lesson covers select physics/coding topics needed for writing quantum algorithms, eventually building up a toolset for tackling more and more challenging quantum algorithms. This tutorial series is designed to provide readers from any background with two services: 1) A concise and thorough understanding of some of the most popular/academically important quantum algorithms. 2) A fluent understanding of how to write code for quantum algorithms, using IBM's publicly available Qiskit.
In the last two decades, a spectacular development in the superconducting qubits has been accomplished experimentally as well as theoretically. The main reason for that is the realization that superconducting qubits can play a crucial role in the emergent field of quantum information processing and quantum computing. The interaction of superconducting qubits with the quantized electromagnetic field leads to make the circuit quantum electrodynamics, inspired by cavity quantum electrodynamics. The field of superconducting qubits and circuit QED is fast growing and branching to diverse applications in multidisciplinary fields. This makes it harder for first-time readers to follow-up. Therefore, this article is targeting to introduce in an intuitive way the topic of superconducting qubit and circuit QED by giving all the mathematical background, Lagrangian formalism for electric circuits, interaction Hamiltonian, and contextual physical interpretation essential to anew scientists and engineers planning to be specialized in this field as well as portraying a wide vantage for higher studies through the suggested recommendation resulted from the simulated examples and written code based on Python packages and Qiskit software. In this article, the superconducting qubits, transmon and fluxonium, are reviewed after introducing the abstract definition of a quantum bit. Moreover, light-matter interaction in fluxonium qubit and quantization of transmission line resonator are discussed briefly. Some of the simulated systems such as the energy levels of fluxonium as a function of offset flux are presented. Finally, applications of superconducting qubits in quantum computing and other fields such as quantum transistors, quantum machines and metamaterials are discussed. Index Terms Superconducting qubits, circuit QED, quantum logic gate, fluxonium, transmon.