Author

Lennart Bittel

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Preprint Oct 2026

Adaptivity is all you need: Optimal stabilizer learning using just single-copy measurements

Stabilizer states are central to quantum computing, underlying quantum error correction, benchmarking, and efficient classical simulation. Yet their learnability exhibits a striking gap: an $n$-qubit stabilizer state can be learned from $\Theta(n)$ copies using two-copy Bell measurements, whereas non-adaptive single-co...

L. Bittel, J. Eisert, W. Gong et al. · 0 citations

Preprint Jul 2026

Approximate sampling from decoded quantum interferometry via Markov chain Monte Carlo methods

This work presents a simplified analytical characterization of DQI, and provides new empirical evidence that classical sampling algorithms can closely match DQI's optimization performance, offering a more nuanced perspective on the practical advantage of DQI.

Elies Gil-Fuster, Matan Ninio, Lennart Bittel et al. · 1 citation

Preprint Jul 2026

Fermionic entropy: an efficiently measurable strong monotone for non-Gaussianity

Fermionic Gaussian states form a central class of classically tractable quantum states, while fermionic non-Gaussianity provides the resource required to go beyond free-fermion dynamics. A key challenge is to quantify this resource through monotones that are both mathematically rigorous and experimentally accessible. H...

Lorenzo Leone, Lennart Bittel · 1 citation