Book Image

Quantum Computing in Practice with Qiskit® and IBM Quantum Experience®

By : Hassi Norlen
5 (1)
Book Image

Quantum Computing in Practice with Qiskit® and IBM Quantum Experience®

5 (1)
By: Hassi Norlen

Overview of this book

IBM Quantum Experience® is a leading platform for programming quantum computers and implementing quantum solutions directly on the cloud. This book will help you get up to speed with programming quantum computers and provide solutions to the most common problems and challenges. You’ll start with a high-level overview of IBM Quantum Experience® and Qiskit®, where you will perform the installation while writing some basic quantum programs. This introduction puts less emphasis on the theoretical framework and more emphasis on recent developments such as Shor’s algorithm and Grover’s algorithm. Next, you’ll delve into Qiskit®, a quantum information science toolkit, and its constituent packages such as Terra, Aer, Ignis, and Aqua. You’ll cover these packages in detail, exploring their benefits and use cases. Later, you’ll discover various quantum gates that Qiskit® offers and even deconstruct a quantum program with their help, before going on to compare Noisy Intermediate-Scale Quantum (NISQ) and Universal Fault-Tolerant quantum computing using simulators and actual hardware. Finally, you’ll explore quantum algorithms and understand how they differ from classical algorithms, along with learning how to use pre-packaged algorithms in Qiskit® Aqua. By the end of this quantum computing book, you’ll be able to build and execute your own quantum programs using IBM Quantum Experience® and Qiskit® with Python.
Table of Contents (12 chapters)

Correcting for the expected with readout correction

Now that we have some knowledge about what might go wrong when we use our qubits for quantum calculations, is there anything that we can do about it? There are essentially two approaches here, at least for the small quantum backends that we have at our disposal.

First, we can make sure that the quantum programs that we run have a fighting chance of completing before the qubits get lost due to decoherence, the T1 and T2 times that we explored. This means that we make the programs short.

Second, we can take a good look at various readout errors and see if we can mitigate those. If you remember in Chapter 7, Simulating Quantum Computers with Aer, we could pull in actual backend qubit data to qasm_simulator and have it behave like an NISQ backend. We can do the same in reverse, analyze the measurement errors for a backend, and use that data to create a mitigation map to counteract erroneous measurements.

Getting ready

The...