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Neural networks have become an important tool in modern computational analysis. Recent years have seen the successful application of artificial neural networks to hosts of problems in various areas of scientific research, including finance, image and language processing to name a few. Quantum computing has seen an exponential rate of advancement in the past decade, with the majority of big technology corporations starting their own divisions in this field. It is evident that the field of quantum computing is bound to bring a lot of much needed innovation to computer science, including resolutions to long-standing algorithmic and computational problems. In this talk I will review the area of intersection of these two technologies, and will offer an insight into the kind of problems which would become tractable with the application of quantum neural networks. I will also present the roadmap of advancement of quantum computing, and explain the important milestones which need to be met in order to see the mass adoption of this technology.
