IBM-Q is IBM’s initiative to build commercially available universal quantum computers for business and science. IBM-Q currently recommends using QISKit and Quantum Composer for building quantum computing experiments, programs and applications which could run on real quantum computing hardware provided by IBM cloud. The details on how to get started with building and running Quantum applications can be provided on IBM’s website, IBM Q Experience (IBM-QX).
In this article, let’s look at further details in relation with QISKit SDK.
IBM-Q recommends Python software development kit (SDK) namely Quantum Information Software Kit (QISKit) which can be used for building programs, applications that could run on IBM quantum computers (quantum computing hardware). Here are some reference links:
One can get started with QISKit for working with OpenQASM (Quantum circuits gate specification) and IBM-Q Experience (Quantum computing hardware by IBM). QISKit can be used to create programs which can be run on one of the following:
Interestingly, QISKit applications can be run on a real Quantum Chip, thanks to IBM-QX
Last updated: 3rd May, 2024 Have you ever wondered why some machine learning models perform…
Last updated: 2nd May, 2024 The success of machine learning models often depends on the…
When working on a machine learning project, one of the key challenges faced by data…
Last updated: 1st May, 2024 The bias-variance trade-off is a fundamental concept in machine learning…
Last updated: 1st May, 2024 As a data scientist, understanding the nuances of various cost…
Last updated: 1st May, 2024 In this post, you will learn the concepts related to…