Chapter 8 Applications of quantum computing in financial planning and financial control
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S. Rajagopalan
Abstract
Quantum computing is an emerging area of computer science that combines computing, physics and mathematics to solve the real-time problems of industry, economy and operations. It is a multidisciplinary approach that applies computing technologies in the various operations of the economy to achieve comprehensive quality management. Financial planning and control is an integral part of financial management that is very crucial for any enterprise whether it is profit oriented or not. Financial management started using computing technologies in analysis and decision- making. Financial management has to deal with large amounts of data which is easily done with the help of Quantum computing methodology. Companies can also use quantum computing to empower customers to experience better financial services. It takes consumer behaviours as inputs in order to predict the needs in real-time and near future. Major financial institutions and companies such as JP Morgan Chase, HSBC, Goldman Sachs, etc. started using quantum computing for their financial operations and decisions. In future, almost all industries will have the real-time application of quantum computing in their operations at a micro or macro level.
Abstract
Quantum computing is an emerging area of computer science that combines computing, physics and mathematics to solve the real-time problems of industry, economy and operations. It is a multidisciplinary approach that applies computing technologies in the various operations of the economy to achieve comprehensive quality management. Financial planning and control is an integral part of financial management that is very crucial for any enterprise whether it is profit oriented or not. Financial management started using computing technologies in analysis and decision- making. Financial management has to deal with large amounts of data which is easily done with the help of Quantum computing methodology. Companies can also use quantum computing to empower customers to experience better financial services. It takes consumer behaviours as inputs in order to predict the needs in real-time and near future. Major financial institutions and companies such as JP Morgan Chase, HSBC, Goldman Sachs, etc. started using quantum computing for their financial operations and decisions. In future, almost all industries will have the real-time application of quantum computing in their operations at a micro or macro level.
Chapters in this book
- Frontmatter I
- Contents V
- List of contributors VII
- Chapter 1 Quantum computing in society: impacts and implications 1
- Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
- Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
- Chapter 4 Highlighting major issues with quantum computing in healthcare 53
- Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
- Chapter 6 Can quantum computers revolutionize health systems? 87
- Chapter 7 Industrial automation and quantum computing 105
- Chapter 8 Applications of quantum computing in financial planning and financial control 127
- Chapter 9 Quantum computing in machine learning: an overview 141
- Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
- Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
- Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
- Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
- Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
- Chapter 15 Quantum computing in drug and chemical 255
- Index 279
Chapters in this book
- Frontmatter I
- Contents V
- List of contributors VII
- Chapter 1 Quantum computing in society: impacts and implications 1
- Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
- Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
- Chapter 4 Highlighting major issues with quantum computing in healthcare 53
- Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
- Chapter 6 Can quantum computers revolutionize health systems? 87
- Chapter 7 Industrial automation and quantum computing 105
- Chapter 8 Applications of quantum computing in financial planning and financial control 127
- Chapter 9 Quantum computing in machine learning: an overview 141
- Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
- Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
- Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
- Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
- Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
- Chapter 15 Quantum computing in drug and chemical 255
- Index 279
