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Quantum Pontryagin Neural Networks in Gamkrelidze Form Subjected to the Purity of Quantum Channels

Title
Quantum Pontryagin Neural Networks in Gamkrelidze Form Subjected to the Purity of Quantum Channels
Type
Article in International Scientific Journal
Year
2023
Authors
Dehaghani, NB
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Wisniewski, R
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 7
Pages: 2227-2232
Publisher: IEEE
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Other information
Authenticus ID: P-00Y-HM1
Abstract (EN): We investigate a time and energy minimization optimal control problem for open quantum systems, whose dynamics is governed through the Lindblad (or Gorini-Kossakowski-Sudarshan-Lindblad) master equation. The dissipation is Markovian time-independent, and the control is governed by the Hamiltonian of a quantum-mechanical system. We are specifically interested to study the purity in a dissipative system constrained by state and control inputs. We deal with the state constraints through Gamkrelidze revisited method, while handling control constraints through the idea of saturation functions and system extensions. This is the first time that quantum purity conservation is formulated in such framework. We obtain the necessary conditions of optimality through the Pontryagin Minimum Principle. Finally, the resulted boundary value problem is solved by a Physics-Informed Neural Network (PINN) approach, a technique that is also new in quantum control context. We show that these PINNs play an effective role in learning optimal control actions.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 6
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