Title

Quantum SPAM: Adventures in Uncorrelation

Abstract

Quantum state tomography, the process of characterizing a quantum optical system, can be laborious and demanding. QST involves two steps: the state is prepared; then it is measured. No correlated errors between these steps can occur for successful results. State-preparation-and-measurement tomography is a way of detecting these correlations. We use waveplates to independently control quantum state settings and detector settings for individual photons. Without making assumptions about either state or detector settings, we can systematically vary them to determine whether there are any correlations between state settings and our measurements. If we show that they are consistently uncorrelated, then QST can be used to reveal information about any given quantum state or detector setting, provided we know about the other. We’ve been able to experimentally demonstrate that SPAM is indeed capable of detecting correlated SPAM errors, which opens the door for further refinement and development.

Faculty Sponsor

Mark Beck

Tracks

poster

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Location

Cordiner Hall

Presentation Type

Poster

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Apr 11th, 1:00 PM Apr 11th, 2:00 PM

Quantum SPAM: Adventures in Uncorrelation

Cordiner Hall

Quantum state tomography, the process of characterizing a quantum optical system, can be laborious and demanding. QST involves two steps: the state is prepared; then it is measured. No correlated errors between these steps can occur for successful results. State-preparation-and-measurement tomography is a way of detecting these correlations. We use waveplates to independently control quantum state settings and detector settings for individual photons. Without making assumptions about either state or detector settings, we can systematically vary them to determine whether there are any correlations between state settings and our measurements. If we show that they are consistently uncorrelated, then QST can be used to reveal information about any given quantum state or detector setting, provided we know about the other. We’ve been able to experimentally demonstrate that SPAM is indeed capable of detecting correlated SPAM errors, which opens the door for further refinement and development.

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