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Current error mitigation methods typically concentrate on correction quality at the expense of frugality (as measured by the number of additional calls to quantum hardware). To fill the need for highly accurate, yet inexpensive techniques, we introduce an error mitigation scheme that builds on Clifford data regression (CDR). The scheme improves the frugality by carefully choosing the training data and exploiting the symmetries of the problem. We test our approach by correcting long range correlators of the ground state of XY Hamiltonian on IBM Toronto quantum computer. We find that our method is an order of magnitude cheaper while maintaining the same accuracy as the original CDR approach. The efficiency gain enables us to obtain a factor of 10<\/mml:mn><\/mml:math> improvement on the unmitigated results with the total budget as small as 2<\/mml:mn>&#x22C5;<\/mml:mo>10<\/mml:mn>5<\/mml:mn><\/mml:msup><\/mml:math> shots. Furthermore, we demonstrate orders of magnitude improvements in frugality for mitigation of energy of the LiH ground state simulated with IBM's Ourense-derived noise model.<\/jats:p>","DOI":"10.22331\/q-2025-05-05-1727","type":"journal-article","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T10:03:36Z","timestamp":1746439416000},"page":"1727","update-policy":"https:\/\/doi.org\/10.22331\/q-crossmark-policy-page","source":"Crossref","is-referenced-by-count":4,"title":["Improving the efficiency of learning-based error mitigation"],"prefix":"10.22331","volume":"9","author":[{"given":"Piotr","family":"Czarnik","sequence":"first","affiliation":[{"name":"Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA."},{"name":"Institute of Theoretical Physics, Jagiellonian University, Krakow, Poland."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"McKerns","sequence":"additional","affiliation":[{"name":"Information Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew T.","family":"Sornborger","sequence":"additional","affiliation":[{"name":"Information Sciences, Los Alamos National Laboratory, Los Alamos, NM, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lukasz","family":"Cincio","sequence":"additional","affiliation":[{"name":"Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, USA."},{"name":"Quantum Science Center, Oak Ridge, TN 37931, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"9598","published-online":{"date-parts":[[2025,5,5]]},"reference":[{"key":"0","doi-asserted-by":"publisher","unstructured":"Frank Arute, Kunal Arya, Ryan Babbush, Dave Bacon, et al. ``Quantum supremacy using a programmable superconducting processor''. 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