2019
DOI: 10.48550/arxiv.1903.05195
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Introduction to Coding Quantum Algorithms: A Tutorial Series Using Pyquil

Abstract: 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… Show more

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Cited by 3 publications
(3 citation statements)
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“…The information about quantum platforms, tools, and simulators is displayed in Table 1. These algorithms can also run on real quantum devices that are accessible over the cloud thanks to certain state-of-the-art quantum platforms (Qiskit [14], ProjectQ [15], PyQUil [16]). However, a great deal of others (like QDK [17]) just offer quantum simulators.…”
Section: Quantum Computation Overview and Scopementioning
confidence: 99%
“…The information about quantum platforms, tools, and simulators is displayed in Table 1. These algorithms can also run on real quantum devices that are accessible over the cloud thanks to certain state-of-the-art quantum platforms (Qiskit [14], ProjectQ [15], PyQUil [16]). However, a great deal of others (like QDK [17]) just offer quantum simulators.…”
Section: Quantum Computation Overview and Scopementioning
confidence: 99%
“…Qiskit is one of the most widely used open-source frameworks for quantum computing, allowing us to create algorithms for quantum computers [17]. As a Python package, it provides tools for creating and manipulating quantum programs and running on prototype quantum devices and simulators [18] and can use built-in modules for noise characterization and circuit optimization to reduce the impact of noise.…”
Section: A Qiskitmentioning
confidence: 99%
“…IBM's quantum computer is programmed with a Python-based language called Qiskit. An introduction to the language is provided in [19] and details can be found in the official Qiskit documentation.…”
Section: Introductionmentioning
confidence: 99%