Quantum computers are known to perform well on a limited problem space. With fast incoming developments in their technology, are quantum computers going to be used as general purpose machines in the future? OR are they going to be used as accelerators such as GPUs as they cannot perform well on general purpose code?
Hi Masab,
Technological advances are so fast nowadays in AI, combinatorial optimization and quantum computing fields that it is really aleatory to make predictions on the long term, especially as alternatives emerge from these advances! I suggest that you follow these few references of interest to quickly catch the big bicture on the subject:
- Calude et al., " The Road to Quantum Computational Supremacy ", 2019 - https://arxiv.org/pdf/1712.01356.pdf
- McCaskey et al., " Hybrid Programming for Near-term Quantum Computing Systems ", 2018 - https://arxiv.org/pdf/1805.09279.pdf
- Beausoleil et al., " Beyond the qubit: quantum computing, practical alternatives, and Memory-Driven Computing ", 2019 - https://h20195.www2.hpe.com/v2/getmobile.aspx?docname=a00061878enw#
Regards
Among the alternative solutions invoked in my prior post, considering the paper by Beausoleil et al. jointly with the following reference might be of particular interest:
- Levine et al., " Quantum Entanglement in Deep Learning Architectures ", 2019 - https://arxiv.org/pdf/1803.09780.pdf
About current hardware and software challenges related to quantum machine Learning:
- Biamonte et al., " Quantum Machine Learning ", 2018 - https://arxiv.org/pdf/1611.09347.pdf
- Badges
- Science topic
- Similar topics
- Biological Science
- Bioecology
- Systems Ecology
- Landscape Ecology
- Connectivity