Faster computation of nonstabilizerness
Hiroki Hamaguchi, Kou Hamada, Naoki Marumo, Nobuyuki Yoshioka

TL;DR
This paper introduces faster algorithms for computing the stabilizer extent, a key resource measure in quantum computing, enabling calculations for larger quantum states with reduced memory and time complexity.
Contribution
The authors develop a novel Column Generation-based algorithm with a new stabilizer fidelity subroutine, significantly improving computational efficiency for nonstabilizerness measures.
Findings
Able to compute stabilizer extent for up to 9 qubits with reduced memory
Faster computation when the target state is real
Problem size reduces exponentially, enabling 10-qubit calculations
Abstract
The characterization of nonstabilizerness is fruitful due to its application in gate synthesis and classical simulation. In particular, the resource monotone called the stabilizer extent is a useful tool to estimate the simulation cost using rank-based simulators, one of the state-of-the-art simulators of Clifford+ circuits. In this work, we propose faster numerical algorithms to compute the stabilizer extent. Our algorithm utilizes the Column Generation method, which iteratively updates the subset of pure stabilizer states used for calculation. This subset is selected based on the overlaps between all stabilizer states and a target state. In order to update the subset, we make use of a newly proposed subroutine for calculating the stabilizer fidelity that (i) achieves linear time complexity with respect to the number of stabilizer states, (ii) super-exponentially reduces the space…
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Taxonomy
TopicsHydraulic and Pneumatic Systems · Real-time simulation and control systems · Vehicle Dynamics and Control Systems
