QISKit and IBM-QX for Running Quantum Computing Applications

GISKit and IBMQ Experience for Quantum Computing.png

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.


QISKit SDK for building Quantum Computing applications

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:

  • Github page on QISKit: COnsists of files and details on how to install/setup QISKit and get started. It also presents a sample program (Hello World Quantum program) for getting you started with Quantum Superposition example.
  • QISKit Website

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:

  • Real quantum processors
  • Online simulators
  • Local simulators

Interestingly, QISKit applications can be run on a real Quantum Chip, thanks to IBM-QX

Ajitesh Kumar
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Ajitesh Kumar

I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia etc and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. I would love to connect with you on Linkedin.
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