Structured Quantum State Reconstruction via Physically Motivated Operator Selection

TL;DR

This paper introduces a structured quantum state tomography method that uses physically motivated operator restrictions to efficiently reconstruct multi-qubit states with fewer parameters.

Contribution

It develops a Gibbs-based framework that progressively includes correlations, improving efficiency and interpretability in quantum state reconstruction.

Findings

Achieves high fidelity with fewer parameters on multi-qubit GHZ states.

Demonstrates the effectiveness of physically motivated operator restrictions.

Shows scalable reconstruction for 3-5 qubits.

Abstract

Quantum state tomography (QST) scales exponentially in both measurement and computational cost, making full reconstruction impractical for multi-qubit systems. Existing approaches attempt to reduce this complexity, but do not explicitly restrict the operator space based on physically relevant correlations. We develop a structured QST framework in which the density matrix is reconstructed using a restricted set of observables in a Gibbs representation. The Structured Gibbs Quantum State Tomography (SG-QST) is built by progressively including local, nearest-neighbor, and global correlations. Benchmarking on three, four, and five-qubit. GHZ states shows that comparable fidelity can be achieved with significantly fewer parameters by restricting the operator space to physically relevant observables. These results demonstrate that physically motivated operator-space restriction enables efficient and interpretable quantum state reconstruction.