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Precision Bounds on Continuous-Variable State Tomography Using Classical Shadows

Srilekha Gandhari, Victor V. Albert, Thomas Gerrits, Jacob M. Taylor, Michael J. Gullans

2024PRX Quantum13 citationsDOIOpen Access PDF

Abstract

Shadow tomography is a framework for constructing succinct descriptions of quantum states using randomized measurement bases, called “classical shadows,” with powerful methods to bound the estimators used. We recast existing experimental protocols for continuous-variable quantum state tomography in the classical-shadow framework, obtaining rigorous bounds on the number of independent measurements needed for estimating density matrices from these protocols. We analyze the efficiency of homodyne, heterodyne, photon-number-resolving, and photon-parity protocols. To reach a desired precision on the classical shadow of an <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><a:mi>N</a:mi></a:math>-photon density matrix with high probability, we show that homodyne detection requires order <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><d:mrow><d:mi mathvariant="script">O</d:mi></d:mrow><d:mo stretchy="false">(</d:mo><d:msup><d:mi>N</d:mi><d:mrow><d:mn>4</d:mn><d:mo>+</d:mo><d:mn>1</d:mn><d:mo>/</d:mo><d:mn>3</d:mn></d:mrow></d:msup><d:mo stretchy="false">)</d:mo></d:math> measurements in the worst case, whereas photon-number-resolving and photon-parity detection require <j:math xmlns:j="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"><j:mrow><j:mi mathvariant="script">O</j:mi></j:mrow><j:mo stretchy="false">(</j:mo><j:msup><j:mi>N</j:mi><j:mn>4</j:mn></j:msup><j:mo stretchy="false">)</j:mo></j:math> measurements in the worst case (both up to logarithmic corrections). We benchmark these results against numerical simulation as well as experimental data from optical homodyne experiments. We find that numerical and experimental analyses of homodyne tomography match closely with our theoretical predictions. We extend our single-mode results to an efficient construction of multimode shadows based on local measurements. Published by the American Physical Society 2024

Topics & Concepts

TomographyVariable (mathematics)Continuous variableState (computer science)State variableComputer scienceAlgorithmMathematicsStatisticsPhysicsMathematical analysisOpticsThermodynamicsQuantum Information and CryptographyMechanical and Optical ResonatorsElectrical and Bioimpedance Tomography
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