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International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3)

Simulating Quantum Hardware using Qiskit Metal

Siri Shivashankar Revant, Satyadhan Chickerur

Published Jun 8, 2023• 0 citations
Publisher

Abstract

The process of building a quantum circuit often consists of several steps. We need a quantum framework that enables us to create these circuits and a simulation environment that enables us to analyse the circuit in order to execute these circuits. Qiskit Metal, an open-source framework made available by IBM, is the name of the quantum framework we used. Ansys Electronic Desktop is the modelling software used to evaluate these built-in circuits. In this paper, we go over how to build a quantum circuit and its simulation on Ansys’ electronic desktop. The conventional methods of modelling the circuit—manually by launching the project in Ansys or automatically through a code—don’t always work. This paper will examine the alternative ways of allowing simulations on quantum hardware projects.

DOI
10.1109/ic2e357697.2023.10262633

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The process of building a quantum circuit often consists of several steps. We need a quantum framework that enables us to create these circuits and a simulation environment that enables us to analyse the circuit in order to execute these circuits. Qiskit Metal, an open-source framework made available by IBM, is the name of the quantum framework we used. Ansys Electronic Desktop is the modelling software used to evaluate these built-in circuits. In this paper, we go over how to build a quantum circuit and its simulation on Ansys’ electronic desktop. The conventional methods of modelling the circuit—manually by launching the project in Ansys or automatically through a code—don’t always work. This paper will examine the alternative ways of allowing simulations on quantum hardware projects.
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Quantum computing is being increasingly adopted for solving classically intractable problems across various domains. However, the availability of accessible and scalable software frameworks remains essential for practical experimentation and adoption. IBM's open-source quantum computing toolkit 'Qiskit' has become a key player in this space by offering tools for circuit design, simulation, hardware execution, and domain-specific applications. This survey provides a systematic review of how Qiskit has evolved and what it has contributed to several critical fields including cryptography and cybersecurity, image and signal processing, climate science and energy applications, and finance. We show how Qiskit facilitates hybrid classical-quantum workflows and enables the deployment of algorithms on physical quantum hardware through error mitigation and modular integration approaches. Our exploration covers several key applications, including quantum key distribution, climate simulation, and quantum-enhanced portfolio optimization, while providing practical insights into their implementation. This work also covers the framework's technical structure and current limitations associated with scalability and reproducibility. By bringing together developments that have been scattered across different areas, this work serves as a reference point for researchers and practitioners who want to understand or contribute to Qiskit-enabled quantum computing.
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In this paper, we present the Quantum Information Software Developer Kit - Qiskit, for teaching quantum computing to undergraduate students, with basic knowledge of quantum mechanics postulates. We focus on presenting the construction of the programs on any common laptop or desktop computer and their execution on real quantum processors through the remote access to the quantum hardware available on the IBM Quantum Experience platform. The codes are made available throughout the text so that readers, even with little experience in scientific computing, can reproduce them and adopt the methods discussed in this paper to address their own quantum computing projects. The results presented are in agreement with theoretical predictions and show the effectiveness of the Qiskit package as a robust classroom working tool for the introduction of applied concepts of quantum computing and quantum information theory.