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Apress eBooks

Qiskit and Introduction to Qiskit Metal

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

Published Jan 1, 2025• 0 citations
Publisher

Abstract

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.

DOI
10.1007/979-8-8688-1504-1_3

Related papers

Qiskit Metal and Introduction to Chip Design

Subhojit Halder, Kinjal A. Chauhan, Muhamad Bagher Barfar +2 more

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.

Apress eBooks•Jan 1, 2025•0 citations

QISKit, Awesome SDK for Quantum Programming in Python

Vladimir Silva

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.

Apress eBooks•Jan 1, 2018•3 citations

Implementation of Quantum Gates based Logic Circuits using IBM Qiskit

Enaul Haq Shaik, Nakkeeran Rangaswamy

Quantum computing is an emerging field that depends upon the basic properties of quantum physics and principles of classical systems. This leads a way to develop systems to solve complex problems that a classical system cannot do. In this article, we present simple methods to implement logic circuits using quantum gates. Logic gates and circuits are defined with quantum gates using Qiskit in Python. Later, they are verified with quantum circuits created by using IBM Quantum. Moreover, we propose a way of instantiating the basic logic circuits to design high-end logic expressions. As per our knowledge, the proposed simple approach may be helpful to solve the complex logical problems in near future.

International Conference on Computing, Communication and Security (ICCCS)•Oct 14, 2020•30 citations

Introduction

Robert Hundt

This book is an introduction to quantum computing from the perspective of a classical programmer. Most concepts are explained with code, based on the insight that much of the complicated-looking math typically found in quantum computing may look quite simple in code. For many programmers, reading code is faster than reading complex math notation. Coding also allows experimentation, which helps with building intuition and understanding of the fundamental mechanisms of quantum computing. This introductory chapter details the methodology used in this book and provides an overview of the major chapters. It suggests two alternative paths through the text, one with a focus on algorithms, the other focusing on infrastructure and simulation.

Cambridge University Press eBooks•Feb 28, 2022•0 citations

Introduction to Coding Quantum Algorithms: A Tutorial Series Using Qiskit

Daniel Koch, Laura Wessing, Paul M. Alsing

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.

arXiv:1903.04359•Mar 7, 2019•8 citations

Qiskit

Andreas Wichert

This chapter describes how to install qiskit and demonstrates the two main backend simulator functions. It demonstrates the working principles of qiskit software development kit on the simple example of a quantum coin. The chapter indicates how to represent simple quantum circuits by unitary matrices using qiskit get unitary command. It indicates step by step how to define quantum circuits on an example of four-bit conjunction. The qiskit software development kit is in constant development and there are some changes between different versions. The Deutsch algorithm exploits the superposition of qubits generated by Hadamard gates and is more powerful than any classical algorithm.

Chapman & Hall/CRC eBooks•Nov 28, 2023•4 citations
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.
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.
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.
Quantum computing is an emerging field that depends upon the basic properties of quantum physics and principles of classical systems. This leads a way to develop systems to solve complex problems that a classical system cannot do. In this article, we present simple methods to implement logic circuits using quantum gates. Logic gates and circuits are defined with quantum gates using Qiskit in Python. Later, they are verified with quantum circuits created by using IBM Quantum. Moreover, we propose a way of instantiating the basic logic circuits to design high-end logic expressions. As per our knowledge, the proposed simple approach may be helpful to solve the complex logical problems in near future.
This book is an introduction to quantum computing from the perspective of a classical programmer. Most concepts are explained with code, based on the insight that much of the complicated-looking math typically found in quantum computing may look quite simple in code. For many programmers, reading code is faster than reading complex math notation. Coding also allows experimentation, which helps with building intuition and understanding of the fundamental mechanisms of quantum computing. This introductory chapter details the methodology used in this book and provides an overview of the major chapters. It suggests two alternative paths through the text, one with a focus on algorithms, the other focusing on infrastructure and simulation.
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.
This chapter describes how to install qiskit and demonstrates the two main backend simulator functions. It demonstrates the working principles of qiskit software development kit on the simple example of a quantum coin. The chapter indicates how to represent simple quantum circuits by unitary matrices using qiskit get unitary command. It indicates step by step how to define quantum circuits on an example of four-bit conjunction. The qiskit software development kit is in constant development and there are some changes between different versions. The Deutsch algorithm exploits the superposition of qubits generated by Hadamard gates and is more powerful than any classical algorithm.