Skip to main content

Applying a Generalization of Schur-Weyl Duality to Problems in Quantum Information and Estimation

  • Conference paper
  • 1720 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7582))

Abstract

Schur-Weyl duality is a powerful tool in representation theory which has many applications to quantum information theory. We provide a generalization of this duality and demonstrate some of its applications. In particular, we use it to develop a general framework for the study of a family of quantum estimation problems wherein one is given n copies of an unknown quantum state according to some prior and the goal is to estimate certain parameters of the given state. In particular, we are interested to know whether collective measurements are useful and if so to find an upper bound on the amount of entanglement which is required to achieve the optimal estimation. In the case of pure states, we show that commutativity of the set of observables that define the estimation problem implies the sufficiency of unentangled measurements.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   49.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Goodman, R., Wallach, N.R.: Representations and Invariants of the Classical Groups Cambridge University Press (1998)

    Google Scholar 

  2. Harrow, A.: Applications of coherent classical communication and the Schur transform to quantum information theory. PhD thesis, MIT, Arxiv preperint arXiv:quant-ph/0512255 (2005)

    Google Scholar 

  3. Marvian, I., Spekkens, R.W.: A generalization of Schur-Weyl duality with applications in quantum estimation, arXiv:1112.0638

    Google Scholar 

  4. Hayashi, A., Horibe, M., Hashimoto, T.: Phys. Rev. A 73, 062322 (2006)

    Google Scholar 

  5. Holevo, A.: Probabilistic and Statistical Aspects of Quantum Theory. Scuola Normale Superiore, Monographs (2011)

    Google Scholar 

  6. Chiribella, G.: Optimal estimation of quantum signals in the presence of symmetry. PhD thesis, University of Pavia, Pavia, Italy (2006)

    Google Scholar 

  7. Zyczkowski, K., Sommers, H.J.: J. Phys. A 34, 7111–7125 (2001), quant-ph/0012101

    Google Scholar 

  8. Zanardi, P., Rasetti, M.: Phys. Rev. Lett. 79, 3306 (1997); Zanardi, P.: Phys. Rev. A 63, 012301 (2000)

    Google Scholar 

  9. Knill, E., et al.: Phys. Rev. Lett. 84, 2525 (2000); Kempe, J., et al.: Phys. Rev. A 63, 042307 (2001)

    Google Scholar 

  10. Bartlett, S.D., Rudolph, T., Spekkens, R.W.: Phys. Rev. Lett. 91, 027901 (2003)

    Google Scholar 

  11. Helstrom, C.W.: Quantum detection and estimation theory. Academic Press (1976)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Marvian, I., Spekkens, R.W. (2013). Applying a Generalization of Schur-Weyl Duality to Problems in Quantum Information and Estimation. In: Iwama, K., Kawano, Y., Murao, M. (eds) Theory of Quantum Computation, Communication, and Cryptography. TQC 2012. Lecture Notes in Computer Science, vol 7582. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35656-8_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35656-8_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35655-1

  • Online ISBN: 978-3-642-35656-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics