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Bulletin of the American Physical Society

The IBM Q experience and QISKit open-source quantum computing software

Andrew W. Cross

Published Mar 7, 2018• 179 citations
OpenAlex

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Quantum Computing fast development is leading to the emergence of a wide variety of software development frameworks. In general, in these frameworks users can implement quantum algorithms and circuits, evaluating their behavior through simulations, and in some cases, executing them on Noisy Intermediate-Scale Quantum (NISQ) devices. IBM has been a pioneer in this field, providing public access to their devices through the IBM Q Experience Platform, using Python's open-source framework Qiskit. In this paper, we present the development of a n-bitstring half-adder and half-subtractor algorithm in Qiskit, analyzing the behavior on the IBM Q Experience simulator and real quantum processors.
Abstract In this paper, we present and compare via the computational experiments two distinct realizations of a protocol of two-qubit state teleportation. Our first achievement has been accomplished on the IBM Q quantum computer available for use through the IBM Q Experience online platform and the Qiskit open-source quantum software development kit, which forms a virtual interface for the quantum computer. Our second realization uses the Feynman, classical simulator of quantum computation written in Maple, the user’s language of the computer algebra system. Our experiments with the IBM Q Experience show that the error rate increase, caused by the distortion of quantum states in the course of computing, requires quantum error correction or the technological improvement of quantum hardware to decrease the error rate.
This paper explains the roadmap for running quantum circuit programs based on the Qiskit library in quantum simulators as well as real cloud-based IBM quantum computers. Qiskit is a free and open-source software development platform based on the Python programming language that is used in quantum programming. Qiskit acts as a link between quantum computing’s theoretical foundations and the practical aspects of programming and experimentation. It also allows users to experiment with and develop quantum algorithms, as well as simulate and execute them on simulators and real-world cloud-based quantum devices. It also simplifies the quantum programming process and allows a diverse range of people to participate in the exciting world of quantum computing. The paper, on the other hand, provides the mathematical foundation for analyzing quantum circuits and algorithms using linear algebra principles, as they provide the tools needed to describe and manipulate quantum states and operations. Furthermore, the paper shows quantum circuit design and implementation using real Qiskit codes.