원문정보
초록
영어
Quantum computing is an emerging field that offers the potential to overcome the limitations of classical computers and is gaining attention as the next-generation computing platform. With the growth of interest in quantum computers, the competition to develop more powerful systems has intensified, with leading companies such as IBM, Google, Intel, Microsoft, and Samsung investing in the technology. They are working towards creating more advanced and practical quantum computers that can lead to new applications in various fields. Consequently, quantum computing has become a game-changer in recent years, with applications in cryptography, simulation, machine learning, and data retrieval. Quantum computing is also beingapplied to finance, giving rise to a new field known as quantum finance. This offers a unique way of processing data and information that is different from classical computing technologies. With its ability to perform complex optimization problems faster and more accurately than classical computers, quantum computing has significant potential in finance. Quantum finance has numerous advantages and limitless potential applications. For instance, it can help financial institutions better manage complex financial products like derivatives and structured products. By providing more accurate risk assessments, portfolio optimization, and trading strategies, quantum finance can enhance the efficiency and accuracy of financial markets. This enables financial institutions to make informed decisions, reduces the likelihood of financial loss, and ultimately benefits both the institutions and their customers. Quantum computing can also reduce the time and cost of complex financial calculations, such as Monte Carlo simulations. This is crucial for financial institutions, as the savings can be reinvested in other areas of the business. Additionally, quantum computing has the potential to increase the stability of financial markets by reducing market volatility and increasing investor confidence. The implementation of quantum finance requires cooperation between the financial sector and the government. Financial institutions should invest in quantum financial technologies and create the necessary infrastructure and regulations. Governments should also provide funding and support through regulation to encourage the development of quantum finance. Financial institutions, governments, and academia must work together to advance the field and maximize the potential of quantum computing in finance. However, implementing quantum finance requires expertise in both quantum computing and finance. Financial institutions need to secure human resources, such as quantum computing experts, to successfully implement quantum finance. This requires close collaboration between the financial sector and academia to develop the necessary skills. In conclusion, the potential benefits of quantum finance are vast, and its impact on the financial industry could be significant. By enhancing the efficiency, accuracy, and stability of financial markets, quantum finance has the potential to revolutionize the industry and benefit both financial institutions and their customers. It is crucial that financial institutions, governments, and academia work together to invest in and support the development of this emerging field. By exploring the potential and implications of quantum finance, this paper highlights the importance of supporting its growth, which has the potential to shape the future of finance and quantum computing.
한국어
최근 인공지능과 머신러닝의 급속한 발전과 함께 양자컴퓨팅이 새로운 기술로 주목받 고 있다. 양자컴퓨팅의 개념은 양자 역학의 발전에서 시작되었으며, 이후 기술의 발전 과 함께 다양한 분야에 적용되기 시작했다. 양자컴퓨팅은 수많은 조합을 통해 계산되 는 문제 처리에 유용하다. 이러한 유형의 문제는 시뮬레이션, 암호, 머신 러닝, 데이터 검색과 같은 여러 분야에서 적용이 가능하다. 해외에서는 이러한 양자컴퓨팅에 대한 특징을 금융에 접목하려는 연구가 시작되고 있다. 양자 금융은 새로운 분야이며, 이는 국내 금융 분야에서 새로운 기회를 만들 수 있다. 양자컴퓨팅은 기존의 컴퓨팅 기술과 는 다른 새로운 방식으로 데이터와 정보를 처리한다. 이 과정에서 양자 알고리즘은 복잡한 금융 문제를 해결할 기회를 제공한다. 특히, 양자컴퓨팅은 최적화 문제와 몬테 카를로 시뮬레이션에 장점을 가지며, 투자 최적화, 리스크 관리, 트레이딩 시스템 등에 활용할 수 있다. 본 연구에서는 양자 컴퓨터를 금융에 적용하기 위한 연구 현황과 실무 현황을 분석하고, 금융 분야에 적용 가능성을 제시한다. 또한 양자 금융 시대의 준비를 위한 정책적인 시사점과 전략을 제언한다. 이를 통해 양자 금융의 미래에 대한 깊은 이해와 양자컴퓨팅의 활용에 대한 중요성을 강조한다.
목차
Abstract
Ⅰ. 서론
Ⅱ. 양자 컴퓨터와 금융
1. 양자 금융 개발 현황
2. 양자 금융 학술 연구 현황
Ⅲ. 금융을 위한 양자 알고리즘
1. Grover Algorithm for Optimization
2. Pricing of Derivatives
Ⅳ. 양자 금융을 위한 제언
Ⅴ. 결론
References
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