You're reading from Financial Modeling Using Quantum Computing

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Published inMay 2023

PublisherPackt

ISBN-139781804618424

Edition1st Edition

Concepts

Financial Technology

Authors (4):

Anshul Saxena

Javier Mancilla

Iraitz Montalban

Christophe Pere

View More author details

Road map for early adoption of quantum computing for financial institutions

The financial institution might use a cloud-based quantum simulator to model and test quantum algorithms for risk analysis and portfolio optimization tasks. This allows the institution to evaluate the potential benefits of quantum computing without investing in its quantum hardware.

Once the institution has found a promising quantum algorithm, it can test and improve it using a cloud-based quantum simulator. This can involve running simulations on different datasets and tweaking the algorithm to make it work better and more accurately.

Once the institution is satisfied with the performance of the quantum algorithm, it can use quantum hardware to run the algorithm on real data. The institution can then use the results of the quantum computation to help them make decisions or improve their risk analysis, portfolio optimization, or other financial operations.

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Financial Modeling Using Quantum Computing

Published in: May 2023Publisher: PacktISBN-13: 9781804618424

Authors (4)

Anshul Saxena

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 about Anshul Saxena

Javier Mancilla

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 about Javier Mancilla

Iraitz Montalban

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 about Iraitz Montalban

Christophe Pere

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.
Read more about Christophe Pere

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You're reading from Financial Modeling Using Quantum Computing

Road map for early adoption of quantum computing for financial institutions

Case study

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