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International Conference on Advanced Computer Information Technologies (ACIT)

Quantum Advantage Applied – Research on Probability of Success

Bartosz Szczesny, Wiesława Gryncewicz

Published Sep 21, 2023• 4 citations
Publisher

Abstract

Quantum computing is promised to have the potential to revolutionize many industries, providing faster and more accurate solutions to complex problems such as financial sector examples portfolio management, wealth management, risk analysis, and market predictions. However, the adoption of quantum computing faces several challenges such as technological limitations, integration with current IT systems, and potential risks to encryption methods. In this paper, we review recent research on quantum computing, discussing potential use cases, benefits, risks, and issues. We also highlight the need for further research to address these challenges before widespread adoption of quantum computing can occur. As financial sector appears to present most promising results it is considered as a key topic of this article.

DOI
10.1109/acit58437.2023.10275418

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This research aims into the transformative potential of quantum computing in the financial sector, underlining its ability to revolutionize risk management, portfolio optimization, and encryption methods. The integration of quantum technology with classical systems is emphasized as a symbiotic relationship that enhances efficiency and precision in financial tasks. A systematic literature review methodology is employed to investigate the development of the financial sector with quantum computing, A total of 186 studies were identified and 13 are selected and included in the review. These 13 journals were selected based on their relevance to the research topic, the quality and impact factor of the journal, the reputation of the authors who publish in the journal, and the rigor of the peer review process. The result indicates the integration of quantum technology in finance holds the potential to revolutionize trading optimization, risk management, and compliance processes, positioning early adopters at the forefront of innovation. The study advocates for sustained efforts in quantum machine learning and reinforcement learning applications to bridge the gap between theoretical potential and practical realization in the financial domain.
This article examines how quantum computing revolutionizes sophisticated risk management systems in several industries, focusing on cybersecurity and financial services. It looks at how quantum computing technology transforms conventional risk assessment methods, fraud prevention, and security architecture by utilizing quantum bits and the concepts of superposition and entanglement. The creation of quantum-resistant cryptographic algorithms, the application of quantum-enhanced probabilistic analysis for financial risk management, and the obstacles to the broad adoption of quantum computing are all examined in this article. The article illustrates the substantial potential of quantum computing in enhancing risk management frameworks while stressing the factors that must be considered for successful adoption by examining current market trends, technological advancements, and industry applications. The convergence of quantum computing with other cutting-edge technologies like blockchain and artificial intelligence for improved risk management capabilities is also examined, as are the broader ramifications for industries other than finance, such as healthcare, manufacturing, and telecommunications.
This article examines how quantum computing revolutionizes sophisticated risk management systems in several industries, focusing on cybersecurity and financial services. It looks at how quantum computing technology transforms conventional risk assessment methods, fraud prevention, and security architecture by utilizing quantum bits and the concepts of superposition and entanglement. The creation of quantum-resistant cryptographic algorithms, the application of quantum-enhanced probabilistic analysis for financial risk management, and the obstacles to the broad adoption of quantum computing are all examined in this article. The article illustrates the substantial potential of quantum computing in enhancing risk management frameworks while stressing the factors that must be considered for successful adoption by examining current market trends, technological advancements, and industry applications. The convergence of quantum computing with other cutting-edge technologies like blockchain and artificial intelligence for improved risk management capabilities is also examined, as are the broader ramifications for industries other than finance, such as healthcare, manufacturing, and telecommunications.
The rapid advancement of quantum computing is poised to revolutionize industries, particularly in areas requiring complex computational power. This paper explores the potential impact of quantum computing on financial risk management from a business perspective. Traditional risk management models struggle to cope with the increasing complexity of global financial systems, making quantum computing a promising solution. By leveraging quantum algorithms, financial institutions can optimize risk assessment, enhance portfolio management, and significantly improve predictive models. This paper examines key algorithms and their applications in finance, discusses the challenges and opportunities in adopting quantum solutions, and presents case studies of early adopters. The findings suggest that quantum computing can offer a competitive advantage to businesses by providing superior risk analysis capabilities. However, limitations in technology, infrastructure, and expertise remain significant hurdles. This study contributes to the growing discourse on quantum computing by providing actionable insights for businesses looking to integrate quantum solutions into their risk management strategies.
Various ways in which quantum computing may transform the financial industry are also explored in this research, and this includes its potential to deal with the problems that we are currently faced with and the opportunities that it may bring. The research starts with a general survey of the existing situation in the area of quantum computing technology which contains lowering of costs and increase in effectiveness. It proposes how quantum computing can vastly change the current performance of banking regarding fraud detection, improvements in risk management measures, and better optimization of various financial process. Additionally, the report reviews the barriers and possible risks that exist in the banking industry implementing quantum computing techniques and, thus, offers crucial points for the successful mitigation of these risks. This study’s outcomes are expected to provide banks with helpful information on how they can exploit the capacities of quantum chips to reinforce their data security strategies and assert themselves against their competitors. The research results present the findings that are practical for the strategic application of quantum computing in the banking sector, identifying an opportunity for the transformative effects of the technology to start changing the expensive and inefficient banking processes and giving rise to a safe and efficient financial environment.
This research aims at determining the use of quantum computing on financial structures, mainly pertaining to portfolio, derivatives, Monte Carlo assessments, and risk analyses. The problems appear within the context of the continually development of the financial industry where the usage of the classic methods when solving the problems associated with large data set and the application of complex models can be slow. There are two types of quantum computations: the first is a classical computation that uses an approach very close to a Turing machine; the second is quantum parallelism that enables a system to compute an unlimited number of possibilities simultaneously and will not suffer from these limitations. The study points out that there are several application areas where quantum algorithms provide solutions better than classical ones, for instance, in cutting computational time for portfolio, and providing better solution in derivative pricing. Applying quantum algorithms, financial systems can provide increased precision and liabilities management, as well as improved decision making. The paper also discusses future applications of quantum computing in fraud and security detection, which would both significantly benefit from quantum methods. A still experimental field, the optimisation study does show that Quantum could bring significant changes in the techniques used by the financial industry to address its most critical issues