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A quantum tug of war between randomness and symmetries on homogeneous spaces

2023-09-11Unverified0· sign in to hype

Rahul Arvind, Kishor Bharti, Jun Yong Khoo, Dax Enshan Koh, Jian Feng Kong

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Abstract

We explore the interplay between symmetry and randomness in quantum information. Adopting a geometric approach, we consider states as H-equivalent if related by a symmetry transformation characterized by the group H. We then introduce the Haar measure on the homogeneous space U/H, characterizing true randomness for H-equivalent systems. While this mathematical machinery is well-studied by mathematicians, it has seen limited application in quantum information: we believe our work to be the first instance of utilizing homogeneous spaces to characterize symmetry in quantum information. This is followed by a discussion of approximations of true randomness, commencing with t-wise independent approximations and defining t-designs on U/H and H-equivalent states. Transitioning further, we explore pseudorandomness, defining pseudorandom unitaries and states within homogeneous spaces. Finally, as a practical demonstration of our findings, we study the expressibility of quantum machine learning ansatze in homogeneous spaces. Our work provides a fresh perspective on the relationship between randomness and symmetry in the quantum world.

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