Quantum State Tomography with a Single Observable
Dikla Oren, Maor Mutzafi, Yonina C. Eldar, Mordechai Segev

TL;DR
This paper introduces a method for quantum state tomography using only a single observable, leveraging compressed sensing and ancilla systems to reduce experimental complexity while accurately reconstructing quantum states.
Contribution
The authors propose a novel approach to quantum state tomography that requires only one observable, significantly simplifying the experimental process compared to traditional methods.
Findings
Successful recovery of multi-photon quantum states from a single observable
Demonstrated state reconstruction without number-resolving detectors
Applicable to high-dimensional systems with minimal measurement setups
Abstract
Quantum information has been drawing a wealth of research in recent years, shedding light on questions at the heart of quantum mechanics, as well as advancing fields such as complexity theory, cryptography, key distribution, and chemistry. These fundamental and applied aspects of quantum information rely on a crucial issue: the ability to characterize a quantum state from measurements, through a process called Quantum State Tomography (QST). However, QST requires a large number of measurements, each derived from a different physical observable corresponding to a different experimental setup. Unfortunately, changing the setup results in unwanted changes to the data, prolongs the measurement and impairs the assumptions that are always made about the stationarity of the noise. Here, we propose to overcome these drawbacks by performing QST with a single observable. A single observable can…
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Taxonomy
TopicsRandom lasers and scattering media · Sparse and Compressive Sensing Techniques · Neural Networks and Reservoir Computing
