Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions
| Autor: | Christoph Segler, Josef Pichlmeier, Koen Bertels, Aritra Sarkar, Thomas Hubregtsen, Thomas Gabor |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
FOS: Computer and information sciences
Quantum Physics Computer Science - Machine Learning Quantum machine learning Computer science FOS: Physical sciences 02 engineering and technology Quantum devices 01 natural sciences Data-driven Machine Learning (cs.LG) Computer engineering 020204 information systems 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Systems architecture IBM Latency (engineering) 010306 general physics Quantum Physics (quant-ph) Quantum Quantum computer |
| Zdroj: | ISQED |
| DOI: | 10.48550/arxiv.1912.06032 |
| Popis: | Quantum computers hold great promise for accelerating computationally challenging algorithms on noisy intermediate-scale quantum (NISQ) devices in the upcoming years. Much attention of the current research is directed to algorithmic research on artificial data that is disconnected from live systems, such as optimization of systems or training of learning algorithms. In this paper we investigate the integration of quantum systems into industry-grade system architectures. In this work we propose a system architecture for the integration of quantum accelerators. In order to evaluate our proposed system architecture we implemented various algorithms including a classical system, a gate-based quantum accelerator and a quantum annealer. This algorithm automates user habits using data-driven functions trained on real-world data. This also includes an evaluation of the quantum enhanced kernel, that previously was only evaluated on artificial data. In our evaluation, we showed that the quantum-enhanced kernel performs at least equally well to a classical state-of-the-art kernel. We also showed a low reduction in accuracy and latency numbers within acceptable bounds when running on the gate-based IBM quantum accelerator. We, therefore, conclude it is feasible to integrate NISQ-era devices in industry-grade system architecture in preparation for future hardware improvements. Comment: 6 pages, accepted to ISQED 2020 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|