The entropic cost of quantum generalized measurements

Anno: 2018

Autori: Mancino L., Sbroscia M., Roccia E., Gianani I., Somma F., Mataloni P., Paternostro M., Barbieri M.

Affiliazione autori: [Mancino, Luca; Sbroscia, Marco; Roccia, Emanuele; Gianani, Ilaria; Somma, Fabrizia; Barbieri, Marco] Univ Roma Tre, Dipartimento Sci, Via Vasca Navale 84, I-00146 Rome, Italy.
[Mataloni, Paolo] Univ Roma La Sapienza, Dipartimento Fis, Quantum Opt Grp, Piazzale Aldo Moro 5, I-00185 Rome, Italy.
[Paternostro, Mauro] Queens Univ Belfast, Sch Math & Phys, Ctr Theoret Atom Mol & Opt Phys, Belfast BT7 1NN, Antrim, North Ireland.
[Barbieri, Marco] CNR, Ist Nazl Ott, Largo E Fermi 6, I-50125 Florence, Italy.

Abstract: Landauer’s principle introduces a symmetry between computational and physical processes: erasure of information, a logically irreversible operation, must be underlain by an irreversible transformation dissipating energy. Monitoring micro-and nano-systems needs to enter into the energetic balance of their control; hence, finding the ultimate limits is instrumental to the development of future thermal machines operating at the quantum level. We report on the experimental investigation of a lower bound to the irreversible entropy associated to generalized quantum measurements on a quantum bit. We adopted a quantum photonics gate to implement a device interpolating from the weakly disturbing to the fully invasive and maximally informative regime. Our experiment prompted us to introduce a bound taking into account both the classical result of the measurement and the outcoming quantum state; unlike previous investigation, our entropic bound is based uniquely on measurable quantities. Our results highlight what insights the information-theoretic approach provides on building blocks of quantum information processors.

Giornale/Rivista: NPJ QUANTUM INFORMATION

Volume: 4      Da Pagina: 20-1  A: 20-6

Parole chiavi: Maxwells demon; information; computation; principle; physics
DOI: 10.1038/s41534-018-0069-z

Citazioni: 13
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2024-04-14
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