Paper 2018/910

Secure Certification of Mixed Quantum States with Application to Two-Party Randomness Generation

Frédéric Dupuis, Serge Fehr, Philippe Lamontagne, and Louis Salvail


We investigate sampling procedures that certify that an arbitrary quantum state on $n$ subsystems is close to an ideal mixed state $\varphi^{\otimes n}$ for a given reference state $\varphi$, up to errors on a few positions. This task makes no sense classically: it would correspond to certifying that a given bitstring was generated according to some desired probability distribution. However, in the quantum case, this is possible if one has access to a prover who can supply a purification of the mixed state. In this work, we introduce the concept of mixed-state certification, and we show that a natural sampling protocol offers secure certification in the presence of a possibly dishonest prover: if the verifier accepts then he can be almost certain that the state in question has been correctly prepared, up to a small number of errors. We then apply this result to two-party quantum coin-tossing. Given that strong coin tossing is impossible, it is natural to ask ``how close can we get". This question has been well studied and is nowadays well understood from the perspective of the bias of individual coin tosses. We approach and answer this question from a different---and somewhat orthogonal---perspective, where we do not look at individual coin tosses but at the global entropy instead. We show how two distrusting parties can produce a common high-entropy source, where the entropy is an arbitrarily small fraction below the maximum.

Note: Last minute typo.

Available format(s)
Publication info
Published by the IACR in TCC 2018
quantum cryptography
Contact author(s)
frederic dupuis @ loria fr
2018-09-25: revised
2018-09-25: received
See all versions
Short URL
Creative Commons Attribution


      author = {Frédéric Dupuis and Serge Fehr and Philippe Lamontagne and Louis Salvail},
      title = {Secure Certification of Mixed Quantum States with Application to Two-Party Randomness Generation},
      howpublished = {Cryptology ePrint Archive, Paper 2018/910},
      year = {2018},
      note = {\url{}},
      url = {}
Note: In order to protect the privacy of readers, does not use cookies or embedded third party content.