Entanglement and Coherence Dynamics in Photonic Quantum Memristors

I tiakina i:
Ngā taipitopito rārangi puna kōrero
I whakaputaina i:arXiv.org (Dec 24, 2024), p. n/a
Kaituhi matua: Ferrara, Alberto
Ētahi atu kaituhi: Rosario Lo Franco
I whakaputaina:
Cornell University Library, arXiv.org
Ngā marau:
Urunga tuihono:Citation/Abstract
Full text outside of ProQuest
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022 |a 2331-8422 
035 |a 3105553213 
045 0 |b d20241224 
100 1 |a Ferrara, Alberto 
245 1 |a Entanglement and Coherence Dynamics in Photonic Quantum Memristors 
260 |b Cornell University Library, arXiv.org  |c Dec 24, 2024 
513 |a Working Paper 
520 3 |a Memristive systems exhibit dynamics that depend on their past states, making them useful as memory units. Recently, quantum memristor models have been proposed and notably, a photonic quantum memristor (PQM) has been experimentally proven. In this work, we explore and characterize various quantum properties that emerge from this specific model of PQM. Firstly, we find that a single PQM displays memristive dynamics on its quantum coherence. Secondly, we analytically show that a network made of two independent PQMs can manifest memory effects on the dynamics of both entanglement and coherence of correlated photons traveling through the network, regardless of their distance, in the hypothesis of negligible external disturbances. Additionally, we build and run a circuit-model of the PQM on a real qubit-based quantum computer (IBM-Q), showing that: (i) this system can effectively be used for non-linear quantum computing under specific conditions, and (ii) digital quantum simulations can reproduce the dynamics of a memristive quantum system in a non-Markovian regime. 
653 |a Memory tasks 
653 |a Memory devices 
653 |a Quantum computing 
653 |a Quantum phenomena 
653 |a Quantum entanglement 
653 |a Photonics 
653 |a Neural networks 
653 |a Quantum computers 
653 |a Synapses 
653 |a Quantum theory 
653 |a Memristors 
653 |a Coherence 
653 |a Qubits (quantum computing) 
700 1 |a Rosario Lo Franco 
773 0 |t arXiv.org  |g (Dec 24, 2024), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3105553213/abstract/embedded/NVC8TPT9VN4WFQEG?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2409.08979