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Main Authors: Paviglianiti, Alessio, Lami, Guglielmo, Collura, Mario, Silva, Alessandro
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.06054
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author Paviglianiti, Alessio
Lami, Guglielmo
Collura, Mario
Silva, Alessandro
author_facet Paviglianiti, Alessio
Lami, Guglielmo
Collura, Mario
Silva, Alessandro
contents We introduce the Iterative Clifford Circuit Renormalization (ICCR), a novel technique designed to efficiently handle the dynamics of non-stabilizerness (a.k.a. quantum magic) in generic quantum circuits. ICCR iteratively adjusts the starting circuit, transforming it into a Clifford circuit where all elements that can alter the non-stabilizerness, such as measurements or T gates, have been removed. In the process the initial state is renormalized in such a way that the new circuit outputs the same final state as the original one. This approach embeds the complex dynamics of non-stabilizerness in the flow of an effective initial state, enabling its efficient evaluation while avoiding the need for direct and computationally expensive simulation of the original circuit. The initial state renormalization can be computed explicitly using a matrix-product state approximation that can be systematically improved. We implement the ICCR algorithm to evaluate the non-stabilizerness dynamics for systems of size up to N = 1000. We validate our method by comparing it to tensor networks simulations. Finally, we employ the ICCR technique to study a magic purification circuit, where a measurement-induced transition is observed.
format Preprint
id arxiv_https___arxiv_org_abs_2405_06054
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Estimating Non-Stabilizerness Dynamics Without Simulating It
Paviglianiti, Alessio
Lami, Guglielmo
Collura, Mario
Silva, Alessandro
Quantum Physics
Statistical Mechanics
We introduce the Iterative Clifford Circuit Renormalization (ICCR), a novel technique designed to efficiently handle the dynamics of non-stabilizerness (a.k.a. quantum magic) in generic quantum circuits. ICCR iteratively adjusts the starting circuit, transforming it into a Clifford circuit where all elements that can alter the non-stabilizerness, such as measurements or T gates, have been removed. In the process the initial state is renormalized in such a way that the new circuit outputs the same final state as the original one. This approach embeds the complex dynamics of non-stabilizerness in the flow of an effective initial state, enabling its efficient evaluation while avoiding the need for direct and computationally expensive simulation of the original circuit. The initial state renormalization can be computed explicitly using a matrix-product state approximation that can be systematically improved. We implement the ICCR algorithm to evaluate the non-stabilizerness dynamics for systems of size up to N = 1000. We validate our method by comparing it to tensor networks simulations. Finally, we employ the ICCR technique to study a magic purification circuit, where a measurement-induced transition is observed.
title Estimating Non-Stabilizerness Dynamics Without Simulating It
topic Quantum Physics
Statistical Mechanics
url https://arxiv.org/abs/2405.06054