2023 article
Exploring Architecture of Qiskit Runtime for Educational Enablement
2023 IEEE INTERNATIONAL CONFERENCE ON QUANTUM COMPUTING AND ENGINEERING, QCE, pp. 112–118.
author keywords: quantum education; quantum workforce; IBM Qiskit Runtime; REST APIs
TL;DR:
This paper shows how the recent architecture of Qiskit Runtime environment, now accepting QASM strings into REST API calls, starts to bridge the gap between programming languages & quantum computing frameworks.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education
(OpenAlex)
Source: Web Of Science
Added: January 8, 2024
A multitude of programming languages and frame-works exist for quantum computing today (Qiskit, Intel Quantum SDK, Pennylane, Cirq, Microsoft Quantum SDK, Yao.jl, etc.). Simultaneously, a given language or framework plays a vital role in a particular area of STEM education, and focuses on specialised features that can benefit specific domain(s) of computing & science. Accessing quantum computing compute resources from a software framework requires the development of integrations for every hardware platform, which becomes a challenge in the long run. The Qiskit Runtime environment is composed of Primitives: Sampler/Estimator, Sessions, and a rich set of Error mitigation techniques and compiler optimization methods. In this paper, we show how the recent architecture of Qiskit Runtime environment, now accepting QASM strings into REST API calls, starts to bridge the gap between programming languages & quantum computing frameworks. More specifically, we highlight the students' needs of interfacing between languages & frameworks, along with the needed development for an individual to generate accepted inputs which complete a quantum program.