Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

arXiv:2311.06578 · The European Physical Journal Plus

Emergence and enhancement of feedback control-induced quantum entanglement

Mohamed Amazioug, Jia‐Xin Peng, Denys Dutykh, Muhammad Asjad

Published Feb 17, 2025• 22 citations
arXivHTMLPDF
DOI
10.1140/epjp/s13360-024-05937-y

Related papers

Entanglement Enhancement of Bipartite Entangled States Through Coherent Feedback Control

李芳 Li Fang, 周瑶瑶 Zhou Yaoyao, 贾晓军 Jia Xiaojun

Acta Optica Sinica•Jan 1, 2014•0 citations

Quantum-Guided Emergent Control (QGEC)

Jincheng Zhang

Quantum-Guided Emergent Control (QGEC) is a novel approach to control system design that leverages quantum annealing and optimization techniques to induce complex, self-organizing control patterns within systems. Traditional control methods are often static, leading to suboptimal performance. QGEC introduces a dynamic system, guiding control parameters through iterative refinement based on system state, ultimately achieving enhanced resource allocation and feedback loop stability. This paper investigates the theoretical underpinnings and practical implementation of QGEC, demonstrating its potential to surpass current control paradigms in dynamic, complex environments.

•Aug 31, 2026•0 citations

Entanglement-assisted quantum feedback control

YamamotoNaoki, MikamiTomoaki

Quantum Information Processing•Jul 1, 2017•0 citations

Title: Quantum Entanglement Modulation via Stochastic Feedback

Jincheng Zhang

Quantum entanglement, a cornerstone of quantum mechanics, is a profoundly fragile phenomenon, susceptible to decoherence. While classical techniques offer limited control, this paper proposes a novel method for manipulating and stabilizing entangled states using stochastic feedback. We introduce a quantum algorithm that continuously adjusts entanglement parameters based on a probabilistic feedback signal, aiming to mitigate decoherence and enhance fidelity. The core mechanism centers on a dynamically evolving feedback loop that leverages randomness to guide the state's evolution. This approach represents a fundamentally different strategy compared to existing classical control methods, potentially unlocking enhanced quantum communication and computation capabilities.

•Sep 4, 2026•0 citations

Towards feedback control of entanglement

S. Mancini, J. Wang

arXiv:quant-ph/0410212•The European Physical Journal D•Dec 20, 2004•58 citations

Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos

Conner LeMaire, Andrew A. Allocca, J. H. Pixley +2 more

We study measurement-induced entanglement and control phase transitions in a quantum and stochastic analog of the Bernoulli map subjected to a classically inspired control protocol. When entangling gates are restricted to the Clifford group, separate entanglement (${p}_{\mathrm{ent}}$) and control (${p}_{\mathrm{ctrl}}$) transitions emerge, revealing two distinct universality classes. The control transition has critical exponents $\ensuremath{\nu}$ and $z$ consistent with the classical map (a random walk) while the entanglement transition is revealed to have similar exponents as the measurement-induced phase transition in Clifford hybrid dynamics. This is distinct from the case of generic entangling gates with nonlocal control in the same model, where ${p}_{\mathrm{ent}}={p}_{\mathrm{ctrl}}$ and universality is controlled by the random walk.

arXiv:2309.04520•Physical review. B./Physical review. B•Jul 23, 2024•9 citations
Quantum-Guided Emergent Control (QGEC) is a novel approach to control system design that leverages quantum annealing and optimization techniques to induce complex, self-organizing control patterns within systems. Traditional control methods are often static, leading to suboptimal performance. QGEC introduces a dynamic system, guiding control parameters through iterative refinement based on system state, ultimately achieving enhanced resource allocation and feedback loop stability. This paper investigates the theoretical underpinnings and practical implementation of QGEC, demonstrating its potential to surpass current control paradigms in dynamic, complex environments.
Quantum entanglement, a cornerstone of quantum mechanics, is a profoundly fragile phenomenon, susceptible to decoherence. While classical techniques offer limited control, this paper proposes a novel method for manipulating and stabilizing entangled states using stochastic feedback. We introduce a quantum algorithm that continuously adjusts entanglement parameters based on a probabilistic feedback signal, aiming to mitigate decoherence and enhance fidelity. The core mechanism centers on a dynamically evolving feedback loop that leverages randomness to guide the state's evolution. This approach represents a fundamentally different strategy compared to existing classical control methods, potentially unlocking enhanced quantum communication and computation capabilities.
We study measurement-induced entanglement and control phase transitions in a quantum and stochastic analog of the Bernoulli map subjected to a classically inspired control protocol. When entangling gates are restricted to the Clifford group, separate entanglement (pent{p}_{\mathrm{ent}}pent​) and control (pctrl{p}_{\mathrm{ctrl}}pctrl​) transitions emerge, revealing two distinct universality classes. The control transition has critical exponents $\ensuremath{\nu}$ and zzz consistent with the classical map (a random walk) while the entanglement transition is revealed to have similar exponents as the measurement-induced phase transition in Clifford hybrid dynamics. This is distinct from the case of generic entangling gates with nonlocal control in the same model, where pent=pctrl{p}_{\mathrm{ent}}={p}_{\mathrm{ctrl}}pent​=pctrl​ and universality is controlled by the random walk.