Enhanced Compressive Threshold Quantum State Tomography for Qudit Systems
Giovanni Garberoglio, Maurizio Dapor, Diego Maragnano, Marco, Liscidini, Daniele Binosi

TL;DR
This paper introduces an improved quantum state tomography method for qudit systems that significantly reduces measurement settings needed for accurate density matrix reconstruction, validated through simulations on IBMQ.
Contribution
The authors develop a novel compressed sensing-inspired quantum tomography technique that minimizes measurement settings for reconstructing multi-qubit states, including GHZ and W states.
Findings
Accurately reconstructs states with fewer measurements
Validates method on IBMQ with up to 7 qubits
Reproduces complex quantum states efficiently
Abstract
We propose an efficient quantum state tomography method inspired by compressed sensing and threshold quantum state tomography that can drastically reduce the number of measurement settings to reconstruct the density matrix of an -qudit system. We validate our algorithm with simulations on IBMQ and demonstrate the efficient and accurate reconstruction of qubit systems, reproducing GHZ, , and random states with , , and settings.
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Neural Networks and Reservoir Computing
