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Researchers have developed a more efficient method for quantifying qubit power by demonstrating that nonstabilizerness can be estimated with fewer measurements than previously required. This approach reduces the classical post-processing complexity from doubly exponential to polynomial scaling relative to the number of qubits, making it feasible to certify quantum advantage with limited experimental data. The study highlights that measurement choice significantly impacts resource estimation, offering a practical path toward verifying quantum computational capabilities without full tomography.
Few measurements now predict a qubit’s power for quantum tasks

Nonstabilizerness is quantified using any set of m n-qubit Pauli measurements, provided the set contains anti-commuting pairs, with runtime exponential in the number of measurements m and polynomial in the number of qubits n. J. M. Varela, L. L. Keller, A. de Oliveira Junior, D. A. Moreira, R. Chaves, R. A. Macêdo found this method estimates magic from Pauli expectation values.
Researchers have demonstrated that assessing a qubit’s power for quantum tasks may require fewer measurements than previously thought. The team, including members from the Federal University of Rio Grande do Norte and the Technical University of Denmark, found that quantifying a key resource for universal quantum computation can be achieved using any set of m n-qubit Pauli measurements, so long as the set includes anti-commuting pairs. The work establishes that “nonstabilizerness is, to a large extent, in the eyes of the beholder,” meaning the chosen measurement method significantly impacts the quantification. This new approach offers a way to estimate quantum magic with a runtime exponential in the number of measurements but polynomial in the number of qubits, a marked improvement over existing methods requiring doubly exponential classical post-processing. Assessing a qubit’s capacity for quantum computation no longer demands an exponentially growing number of measurements. This…
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