PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 11, 20260 citationsOpen Access

Quantum speed limit for measurement probabilities

View Full Paper
ABAgung BudiyonoSDSebastian Deffner

Key Points

  • This work investigates the time and genuine quantum resources required to transform a set of measurement probabilities to a target set.
  • Defined the speed of measurement probabilities based on the average rate of surprisal of outcomes.
  • Analyzed the constraints imposed by genuine quantum fluctuations on measurement outcomes.
  • Derived the minimum time required for transforming initial to target measurement probabilities.
  • Identified a quantum speed limit as a witness for bipartite quantum correlations with optimal local measurements.
  • Provided a minimum transformation time for measurement probabilities.
  • Analyzed the cost of generating local athermality related to genuine quantum uncertainty.

Abstract

Any protocol to process quantum information has to conclude with a measurement, aimed at producing a specific set of probabilities of measurement outcomes. In this work, we investigate the time, energy and importantly the genuine quantum resources necessary for transforming a set of measurement probabilities generated by a positive-operator-valued measure (POVM), to a target set of measurement probabilities. To this end, we first show that the speed of measurement probabilities, defined as the average rate of the surprisal of measurement outcomes, is constrained by the genuine quantum fluctuations contained in the measurement probabilities. Interestingly, this quantum speed limit can act as a witness for bipartite quantum correlations by selecting an optimal local projective measurement. Furthermore, we obtain a minimum time to transform an initial measurement probabilities to a target measurement probabilities, and apply this result to analyzing the cost of generating a local athermality in terms of genuine quantum uncertainty.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Budiyono et al. (2026) studied this question.

synapsesocial.com/papers/6a2a528480c8f91e7f39e839https://doi.org/10.13016/m265cq-lho4
Ask AI
Helpful
Bookmark
Share
View Full Paper