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We show that entangled measurements (<mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mi>n<\/mml:mi><mml:mo>&amp;#x2265;<\/mml:mo><mml:mn>2<\/mml:mn><\/mml:math>) enable nontrivial and potentially advantageous trade-offs in the sample complexity of learning Pauli expectation values. This is sharply illustrated by shadows based on two-qubit Bell measurements: the scaling of sample complexity with Pauli weight <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mi>k<\/mml:mi><\/mml:math> improves quadratically (from <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mo>&amp;#x223C;<\/mml:mo><mml:msup><mml:mn>3<\/mml:mn><mml:mi>k<\/mml:mi><\/mml:msup><\/mml:math> down to <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mo>&amp;#x223C;<\/mml:mo><mml:msup><mml:mn>3<\/mml:mn><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mi>k<\/mml:mi><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mo>\/<\/mml:mo><\/mml:mrow><mml:mn>2<\/mml:mn><\/mml:mrow><\/mml:msup><\/mml:math>) for many operators, while others become impossible to learn. Tuning the amount of entanglement in the measurement bases defines a family of protocols that interpolate between Pauli and Bell shadows, retaining some of the benefits of both. For large <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mi>n<\/mml:mi><\/mml:math>, we show that randomized measurements in <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mi>n<\/mml:mi><\/mml:math>-qubit GHZ bases further improve the best scaling to <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mo>&amp;#x223C;<\/mml:mo><mml:mo stretchy=\"false\">(<\/mml:mo><mml:mn>3<\/mml:mn><mml:mrow class=\"MJX-TeXAtom-ORD\"><mml:mo>\/<\/mml:mo><\/mml:mrow><mml:mn>2<\/mml:mn><mml:msup><mml:mo stretchy=\"false\">)<\/mml:mo><mml:mi>k<\/mml:mi><\/mml:msup><\/mml:math>, albeit on an increasingly restricted set of operators. Despite their simplicity and lower hardware requirements, these protocols can match or outperform recently-introduced \"shallow shadows\" in some practically-relevant Pauli estimation tasks.<\/jats:p>","DOI":"10.22331\/q-2024-03-21-1293","type":"journal-article","created":{"date-parts":[[2024,3,21]],"date-time":"2024-03-21T10:23:01Z","timestamp":1711016581000},"page":"1293","update-policy":"https:\/\/doi.org\/10.22331\/q-crossmark-policy-page","source":"Crossref","is-referenced-by-count":16,"title":["Classical shadows based on locally-entangled measurements"],"prefix":"10.22331","volume":"8","author":[{"given":"Matteo","family":"Ippoliti","sequence":"first","affiliation":[{"name":"Department of Physics, The University of Texas at Austin, Austin, TX 78712, USA"},{"name":"Department of Physics, Stanford University, Stanford, CA 94305, USA"}]}],"member":"9598","published-online":{"date-parts":[[2024,3,21]]},"reference":[{"key":"0","doi-asserted-by":"publisher","unstructured":"Hsin-Yuan Huang, Richard Kueng, and John Preskill. ``Predicting many properties of a quantum system from very few measurements&apos;&apos;. 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