Learning t-doped stabilizer states

In this paper, we present a learning algorithm aimed at learning states obtained from computational basis states by Clifford circuits doped with a finite number $t$ of $T$-gates. The algorithm learns an exact tomographic description of $t$-doped stabilizer states in terms of Pauli observables. This...

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Бібліографічні деталі
Автори: Lorenzo Leone, Salvatore F. E. Oliviero, Alioscia Hamma
Формат: Стаття
Мова:English
Опубліковано: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2024-05-01
Серія:Quantum
Онлайн доступ:https://quantum-journal.org/papers/q-2024-05-27-1361/pdf/