Lower Bounds on Stabilizer Rank
arXiv:2106.03214 · doi:10.22331/q-2022-02-15-652
Abstract
The stabilizer rank of a quantum state is the minimal such that for and stabilizer states . The running time of several classical simulation methods for quantum circuits is determined by the stabilizer rank of the -th tensor power of single-qubit magic states. We prove a lower bound of on the stabilizer rank of such states, improving a previous lower bound of of Bravyi, Smith and Smolin (arXiv:1506.01396). Further, we prove that for a sufficiently small constant , the stabilizer rank of any state which is -close to those states is . This is the first non-trivial lower bound for approximate stabilizer rank. Our techniques rely on the representation of stabilizer states as quadratic functions over affine subspaces of , and we use tools from analysis of boolean functions and complexity theory. The proof of the first result involves a careful analysis of directional derivatives of quadratic polynomials, whereas the proof of the second result uses Razborov-Smolensky low degree polynomial approximations and correlation bounds against the majority function.
References in corpus (10)
- Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
- Universal Quantum Computation with ideal Clifford gates and noisy ancillas
- Improved Simulation of Stabilizer Circuits
- Improved classical simulation of quantum circuits dominated by Clifford gates
- Trading classical and quantum computational resources
- Simulation of quantum circuits by low-rank stabilizer decompositions
- The Clifford group, stabilizer states, and linear and quadratic operations over GF(2)
- Improved upper bounds on the stabilizer rank of magic states
- Stabilizer rank and higher-order Fourier analysis
- Limits on representing Boolean functions by linear combinations of simple functions: thresholds, ReLUs, and low-degree polynomials