Papers
Topics
Authors
Recent
Search
2000 character limit reached

Arithmeticity, thinness and efficiency of qutrit Clifford+T gates

Published 29 Jan 2024 in quant-ph, math.GR, and math.NT | (2401.16120v2)

Abstract: The Clifford+T gate set is a topological generating set for PU(2), which has been well-studied from the perspective of quantum computation on a single qubit. The discovery that it generates a full S-arithmetic subgroup of PU(2) has led to a fruitful interaction between quantum computation and number theory, resulting in a proof that words in these gates cover PU(2) in an almost-optimal manner. In this paper we study the analogue gate set for PU(3). We show that in PU(3) the group generated by the Clifford+T gates is not arithmetic - in fact, it is a thin matrix group, namely a Zariski-dense group of infinite index in its ambient S-arithmetic group. On the other hand, we study a recently proposed extension of the Clifford+T gates, called Clifford+D, and show that these do generate a full S-arithmetic subgroup of PU(3), and satisfy a slightly weaker almost-optimal covering property than that of Clifford+T in PU(2). The proofs are different from those for PU(2): while both gate sets act naturally on a (Bruhat-Tits) tree, in PU(2) the generated group acts transitively on the vertices of the tree, and this is a main ingredient in proving both arithmeticity and efficiency. In the PU(3) Clifford+D case the action on the tree is far from being transitive. This makes the proof of arithmeticity considerably harder, and the study of efficiency by automorphic representation theory becomes more involved, and results in a covering rate which differs from the optimal one by a factor of $log_3(105)\approx 4.236$.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 2 tweets with 2 likes about this paper.