Practical fermionic shadows enabled by improved sample-complexity bounds
Classical shadow tomography for fermionic observables was improved by deriving an asymptotically tight upper bound on estimator variance. This new bound reduces the required sample complexity from O(n^2k||O||^2∞) to O(n^k||O||^2∞), significantly lowering experimental costs. This makes shadow tomography practical for large quantum systems with hundreds of qubits.