Abstract
The final chapter explores the future of quantum finance and the new era of quantum computing. Similar to the history of artificial intelligence (AI) that has both hard AI and soft AI. Each of them focuses on different aspects and applications, but after over half a century; the boundary between them becomes obscure. In this chapter, it studies two disciplines of quantum computing and how they interact to shape the new age of intelligent computing. As mentioned in previous chapters, quantum finance is a cross-discipline subject to challenge the utmost question of finance engineering—the exploration of the nature and dynamics of financial market activities in the quantum realm. Quantum finance is one of the major research areas of quantum finance forecast center (QFFC.org). The chapter also explores and introduces other aspects and active research of QFFC in terms of: (1) AI-fintech—the integration of AI technology with state-of-the-art finance technology such as blockchains and digital ledgers; (2) quantum computing—the R&D of potential applications of quantum computing technology in various areas such as quantum entanglements in quantum finance, quantum cryptography, quantum holographic systems, etc.
The most important application of quantum computing in the future is likely to be a computer simulation of quantum systems, because that’s an application where we know for sure that quantum systems in general cannot be efficiently simulated on a classical computer.
David Deutsch (Born in 1953)
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Lee, R.S.T. (2020). Future Trends in Quantum Finance. In: Quantum Finance. Springer, Singapore. https://doi.org/10.1007/978-981-32-9796-8_14
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DOI: https://doi.org/10.1007/978-981-32-9796-8_14
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