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Fermionic Gaussian Testing and Non-Gaussian Measures via Convolution

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arxiv 2409.08180 v2 pith:OEE2MZNY submitted 2024-09-12 quant-ph cs.CCmath-phmath.MP

Fermionic Gaussian Testing and Non-Gaussian Measures via Convolution

classification quant-ph cs.CCmath-phmath.MP
keywords fermionicconvolutionnon-gaussianaccessibleadvantagecharacterizingcomponentscomputation
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We define fermionic convolution and demonstrate its utility in characterizing fermionic non-Gaussian components, which are essential to the computational advantage of fermionic systems. Using fermionic convolution, we propose an efficient protocol that tests the fermionic Gaussianity of pure states using three copies of the input state. We also introduce "Non-Gaussian Entropy," an experimentally accessible resource measure that quantifies fermionic non-Gaussianity. These results provide new insights into the study of fermionic quantum computation.

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Cited by 8 Pith papers

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