pith. machine review for the scientific record. sign in

arxiv: 1510.02767 · v1 · submitted 2015-10-09 · 🪐 quant-ph · cs.IT· math.IT· math.PR

Recognition: unknown

Qubit stabilizer states are complex projective 3-designs

Authors on Pith no claims yet
classification 🪐 quant-ph cs.ITmath.ITmath.PR
keywords stabilizerstatescomplexprojectivedesigndesignsformulaqubit
0
0 comments X
read the original abstract

A complex projective $t$-design is a configuration of vectors which is ``evenly distributed'' on a sphere in the sense that sampling uniformly from it reproduces the moments of Haar measure up to order $2t$. We show that the set of all $n$-qubit stabilizer states forms a complex projective $3$-design in dimension $2^n$. Stabilizer states had previously only been known to constitute $2$-designs. The main technical ingredient is a general recursion formula for the so-called frame potential of stabilizer states. To establish it, we need to compute the number of stabilizer states with pre-described inner product with respect to a reference state. This, in turn, reduces to a counting problem in discrete symplectic vector spaces for which we find a simple formula. We sketch applications in quantum information and signal analysis.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Single-copy stabilizer learning: average case and worst case

    quant-ph 2026-04 unverdicted novelty 7.0

    Log-depth circuits suffice for average-case single-copy stabilizer learning with t=O(log n), but worst-case adaptive single-copy learning requires exp(t) samples.

  2. Quantum Complexity and New Directions in Nuclear Physics and High-Energy Physics Phenomenology

    quant-ph 2026-04 unverdicted novelty 2.0

    A review of how quantum information science is expected to provide new tools and insights for nuclear and high-energy physics phenomenology and quantum simulations.