Quantum Software Engineering Challenges from Developers' Perspective: Mapping Research Challenges to the Proposed Workflow Model
arXiv:2308.01141 · doi:10.1109/QCE57702.2023.10204
Abstract
Despite the increasing interest in quantum computing, the aspect of development to achieve cost-effective and reliable quantum software applications has been slow. One barrier is the software engineering of quantum programs, which can be approached from two directions. On the one hand, many software engineering practices, debugging in particular, are bound to classical computing. On the other hand, quantum programming is closely associated with the phenomena of quantum physics, and consequently, the way we express programs resembles the early days of programming. Moreover, much of the software engineering research today focuses on agile development, where computing cycles are cheap and new software can be rapidly deployed and tested, whereas in the quantum context, executions may consume lots of energy, and test runs may require lots of work to interpret. In this paper, we aim at bridging this gap by starting with the quantum computing workflow and by mapping existing software engineering research to this workflow. Based on the mapping, we then identify directions for software engineering research for quantum computing.
arXiv comment4 pages, 1 figure
References in corpus (9)
- Efficient quantum state tomography
- Quantum algorithms for supervised and unsupervised machine learning
- Mitigation of readout noise in near-term quantum devices by classical post-processing based on detector tomography
- Post-processing procedure for industrial quantum key distribution systems
- Searching in Grover's Algorithm
- On Misbehaviour and Fault Tolerance in Machine Learning Systems
- Certified Quantum Computation in Isabelle/HOL
- Write, Execute, Assess: Program Synthesis with a REPL
- A Serverless Cloud Integration For Quantum Computing