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Computational Advantage from the Quantum Superposition of Multiple Temporal Orders of Photonic Gates
Márcio M. Taddei, Jaime Cariñe, Daniel Martínez, Tania García, Nayda Guerrero, Alastair Abbott, Mateus Araújo, Cyril Branciard, Esteban S Gómez, Stephen P Walborn, Leandro Aolita, Gustavo Lima

Computational Advantage from the Quantum Superposition of Multiple Temporal Orders of Photonic Gates

Science & Mathematics Published 2021 Verification Pending

Overview & Synopsis

Models for quantum computation with circuit connections subject to the quantum superposition principle have recently been proposed. In them, a control quantum system can coherently determine the order in which a target quantum system undergoes $N$ gate operations. This process, known as the quantum $N$-switch, is a resource for several information-processing tasks. In particular, it provides a computational advantage---over fixed-gate-order quantum circuits—for phase-estimation problems involving $N$ unknown unitary gates. However, the corresponding algorithm requires an experimentally unfeasible target-system dimension (super)exponential in $N$. Here, we introduce a promise problem for which the quantum $N$-switch gives an equivalent computational speedup with target-system dimension as small as 2 regardless of $N$. We use state-of-the-art multicore optical-fiber technology to experimentally demonstrate the quantum $N$-switch with $N=4$ gates acting on a photonic-polarization qubit. This is the first observation of a quantum superposition of more than $N=2$ temporal orders, demonstrating its usefulness for efficient phase estimation.

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Document Information

Document Title Computational Advantage from the Quantum Superposition of Multiple Temporal Orders of Photonic Gates
Author / Organization Márcio M. Taddei, Jaime Cariñe, Daniel Martínez, Tania García, Nayda Guerrero, Alastair Abbott, Mateus Araújo, Cyril Branciard, Esteban S Gómez, Stephen P Walborn, Leandro Aolita, Gustavo Lima
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-205063
Original Source Link Visit Source Page on hal.science »