Quantum Algorithm for Option Pricing

  • Chapter
  • First Online:
Quantum Computers

Abstract

One of the main areas for the application of quantum algorithms is in the pricing of options. An introductory text cannot do justice to this fast-evolving subject, and hence, the discussion will focus on only the pricing of a European call or a put option.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Baaquie BE (2004) Quantum finance: path integrals and Hamiltonians for options and interest rates. Cambridge University Press, UK

    Google Scholar 

  2. Baaquie BE (2010) Interest rates and coupon bonds in quantum finance, 1st edn. Cambridge University Press, UK

    Google Scholar 

  3. Baaquie BE (2018) Quantum field theory for economics and finance. Cambridge University Press, UK

    Google Scholar 

  4. Hull JC (2000) Options, futures, and other derivatives, 4th edn. Prentice Hall, New Jersey

    MATH  Google Scholar 

  5. Rebentrost P, Gupt B, Bromley TR (2018) Quantum computational finance: Monte carlo pricing of financial derivatives. Phys Rev A 98:022321

    Article  Google Scholar 

  6. Orús SMR, Lizaso E (2019) Quantum computing for finance: overview and prospects. Rev Phys (4):100028

    Google Scholar 

  7. Brassard MMG, Høyer P, Tapp A (2000) Quantum amplitude amplification and estimation. ar**v:quant-ph/0005055v1

  8. Kaneko NTK, Miyamoto K, Yoshinox K (2020) Quantum computing for finance: overview and prospects. ar**v:1905.02666v4

  9. Baaquie BE (2020) Mathematical methods and quantum mathematics for economics and finance. Springer, Singapore

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Baaquie, B.E., Kwek, LC. (2023). Quantum Algorithm for Option Pricing. In: Quantum Computers. Springer, Singapore. https://doi.org/10.1007/978-981-19-7517-2_14

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-7517-2_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-7516-5

  • Online ISBN: 978-981-19-7517-2

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

Publish with us

Policies and ethics

Navigation