Skip to main content

Machine Learning and Quantum Field Theories

  • Chapter
  • First Online:
Markov Chain Monte Carlo Methods in Quantum Field Theories

Part of the book series: SpringerBriefs in Physics ((SpringerBriefs in Physics))

  • 1017 Accesses

Abstract

The intriguing connection between Euclidean quantum field theory and statistical mechanics has opened up a vast array of new insights and results benefitting both the research communities.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anosh Joseph .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Joseph, A. (2020). Machine Learning and Quantum Field Theories. In: Markov Chain Monte Carlo Methods in Quantum Field Theories. SpringerBriefs in Physics. Springer, Cham. https://doi.org/10.1007/978-3-030-46044-0_9

Download citation

Publish with us

Policies and ethics