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Financial Modeling Using Quantum Computing

You're reading from  Financial Modeling Using Quantum Computing

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781804618424
Pages 292 pages
Edition 1st Edition
Languages
Concepts
Authors (4):
Anshul Saxena Anshul Saxena
Profile icon Anshul Saxena
LinkedIn
Professor Anshul Saxena is a quantum finance instructor at Christ University. His current research focus is abouton discovering the role of quantum computing in solving complex financial problems. He has filed three Indian patents and holds an international patent. He has authored a popular book on HR Analytics and has developed an automated Ppython library "Cognito" for data preprocessing. He has over a decade of work experience spreading across IT and financial services companies like TCS and Northern Trust in various business analytics and decision sciences roles. He has worked as a consultant and trainer with IBM ICE group and has trained more than 500 faculties pan India. Mr. Saxena has also worked as a Corporate Trainer and has conducted training on data science for more than 600 IT employees. He is a SAS certified predictive modeler and has recently completed a certificate in "Quantum computing for managers" for BIMTECH. He holds an MBA degree in Finance from IBS Bangalore and is pursuing his Ph.D. in Financial Risk Analytics
See other products by Anshul Saxena
Javier Mancilla Javier Mancilla
Profile icon Javier Mancilla
LinkedIn
Javier Mancilla is a Senior Data Scientist, and a Quantum Business and Programming Consultant. He is a Ph.D. candidate and Master in Data Management and Innovation. He has more than 15 years of experience in digital transformation projects, withand in the last 8 years mostly dedicated to artificial intelligence, machine learning, and quantum computing, with more than 35 projects executed around these technologies. He has more than 8 certifications in quantum computing matters from institutions like MIT xPro, KAIST, IBM, Saint Petersburg University, and BIMTECH. He also was selected as one of the Top 20 Quantum Computing Linkedin Voices by Barcelonaqbit (quantum organization in Spain). Currently, he has the role of quantum machine learning advisor for different companies and organizations in Europe and Latin America and is also an I + D + i (Investigation, Development, and Innovation) evaluator for different governments in LATAM such as Chile and Paraguay
See other products by Javier Mancilla
Iraitz Montalban Iraitz Montalban
Profile icon Iraitz Montalban
LinkedIn
Iraitz Montalban is currently Quantum Software Engineer for Kipu Quantum GmbH and PhD candidate at the University of the Basque Country in Quantum Machine Learning. He holds several master's degrees in Mathematical modelling, Data Protection and Quantum Technologies as well. Has hold positions of responsability in large organizations as well as coordinated Innovation practices in all of then given his trajectory as a reseacrher in AI and ML disciplines and his more than 15 years of experience in this field. He activelly collaborates with different universities and education institutions designing the curriculum and teaching in programs around BigData and Advanced Analytics
See other products by Iraitz Montalban
Christophe Pere Christophe Pere
Profile icon Christophe Pere
LinkedIn
Christophe Pere is an Applied Quantum Machine Learning Researcher and Lead Scientist originally from Paris, France. He has a Ph.D. in Astrophysics from Université Côte d'Azur. After his Ph.D., he left the academic world for a career in Artificial Intelligence as an Applied Industry Researcher. He learned quantum computing during his Ph.D. in his free time, starting as a passion and becoming his new career. He actively democratizes Quantum Computing to help people and companies enter this new field.
See other products by Christophe Pere
View More author details

Table of Contents (16) Chapters

Preface Part 1: Basic Applications of Quantum Computing in Finance
Chapter 1: Quantum Computing Paradigm Chapter 2: Quantum Machine Learning Algorithms and Their Ecosystem Chapter 3: Quantum Finance Landscape Part 2: Advanced Applications of Quantum Computing in Finance
Chapter 4: Derivative Valuation Chapter 5: Portfolio Management Chapter 6: Credit Risk Analytics Chapter 7: Implementation in Quantum Clouds Part 3: Upcoming Quantum Scenario
Chapter 8: Simulators and HPC’s Role in the NISQ Era Chapter 9: NISQ Quantum Hardware Roadmap Chapter 10: Business Implementation Index Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

advantage, with QML

case study 248

identifying 245-248

Amazon Braket 45, 46

Amazon Web Services (AWS) 39, 45, 181

annealers 233

approaches, to quantum innovation

cold atoms 13

photonics 13

quantum dots 13

superconducting 12

trapped ions 13

Archer 17

Area Under Curve (AUC) 161

artificial intelligence (AI) 60

asset liquidity risk impact 58

AWS Amazon Braket platform 18

AWS Braket 181-189

Azure 189-193

B

Birla Institute of Management Technology (BIMTECH) 257

Black-Scholes-Merton (BSM) model 77

assumptions 78

benefits 80

limitations 78, 79

Bounded-Error Quantum Polynomial-Time (BQP) 26

C

case study, derivatives pricing

market interest rate, determining 72

market price, comparing with face value 73

market...

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Authors (4)

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Profile icon Anshul Saxena
LinkedIn
Professor Anshul Saxena is a quantum finance instructor at Christ University. His current research focus is abouton discovering the role of quantum computing in solving complex financial problems. He has filed three Indian patents and holds an international patent. He has authored a popular book on HR Analytics and has developed an automated Ppython library "Cognito" for data preprocessing. He has over a decade of work experience spreading across IT and financial services companies like TCS and Northern Trust in various business analytics and decision sciences roles. He has worked as a consultant and trainer with IBM ICE group and has trained more than 500 faculties pan India. Mr. Saxena has also worked as a Corporate Trainer and has conducted training on data science for more than 600 IT employees. He is a SAS certified predictive modeler and has recently completed a certificate in "Quantum computing for managers" for BIMTECH. He holds an MBA degree in Finance from IBS Bangalore and is pursuing his Ph.D. in Financial Risk Analytics
Read more
See other products by Anshul Saxena
Profile icon Javier Mancilla
LinkedIn
Javier Mancilla is a Senior Data Scientist, and a Quantum Business and Programming Consultant. He is a Ph.D. candidate and Master in Data Management and Innovation. He has more than 15 years of experience in digital transformation projects, withand in the last 8 years mostly dedicated to artificial intelligence, machine learning, and quantum computing, with more than 35 projects executed around these technologies. He has more than 8 certifications in quantum computing matters from institutions like MIT xPro, KAIST, IBM, Saint Petersburg University, and BIMTECH. He also was selected as one of the Top 20 Quantum Computing Linkedin Voices by Barcelonaqbit (quantum organization in Spain). Currently, he has the role of quantum machine learning advisor for different companies and organizations in Europe and Latin America and is also an I + D + i (Investigation, Development, and Innovation) evaluator for different governments in LATAM such as Chile and Paraguay
Read more
See other products by Javier Mancilla
Profile icon Iraitz Montalban
LinkedIn
Iraitz Montalban is currently Quantum Software Engineer for Kipu Quantum GmbH and PhD candidate at the University of the Basque Country in Quantum Machine Learning. He holds several master's degrees in Mathematical modelling, Data Protection and Quantum Technologies as well. Has hold positions of responsability in large organizations as well as coordinated Innovation practices in all of then given his trajectory as a reseacrher in AI and ML disciplines and his more than 15 years of experience in this field. He activelly collaborates with different universities and education institutions designing the curriculum and teaching in programs around BigData and Advanced Analytics
Read more
See other products by Iraitz Montalban
Profile icon Christophe Pere
LinkedIn
Christophe Pere is an Applied Quantum Machine Learning Researcher and Lead Scientist originally from Paris, France. He has a Ph.D. in Astrophysics from Université Côte d'Azur. After his Ph.D., he left the academic world for a career in Artificial Intelligence as an Applied Industry Researcher. He learned quantum computing during his Ph.D. in his free time, starting as a passion and becoming his new career. He actively democratizes Quantum Computing to help people and companies enter this new field.
See other products by Christophe Pere
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