Convergence of reconstructed density matrix to a pure state using maximal entropy approach
Rishabh Gupta, Sabre Kais, Raphael D. Levine

TL;DR
This paper introduces a maximal entropy-based method for reconstructing pure quantum states from incomplete measurements, offering a practical alternative to traditional quantum state tomography for noisy intermediate-scale quantum devices.
Contribution
It proposes a novel maximal entropy approach for pure state reconstruction from pairwise measurements, improving quantum state inference in NISQ devices.
Findings
Reconstructed density matrix converges to a pure state.
Method effectively estimates quantum states with incomplete data.
Potential applications in quantum error mitigation.
Abstract
Impressive progress has been made in the past decade in the study of technological applications of varied types of quantum systems. With industry giants like IBM laying down their roadmap for scalable quantum devices with more than 1000-qubits by the end of 2023, efficient validation techniques are also being developed for testing quantum processing on these devices. The characterization of a quantum state is done by experimental measurements through the process called quantum state tomography (QST) which scales exponentially with the size of the system. However, QST performed using incomplete measurements is aptly suited for characterizing these quantum technologies especially with the current nature of noisy intermediate-scale quantum (NISQ) devices where not all mean measurements are available with high fidelity. We, hereby, propose an alternative approach to QST for the complete…
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