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Found 5 papers, 0 papers with code
Reconstruction of a Photonic Qubit State with Reinforcement Learning
An experiment is performed to reconstruct an unknown photonic quantum state with a limited amount of copies.
Quantum Physics
Analog simulator of integro-differential equations with classical memristors
In this work, by adding memristors to the electrical network, we show that the analog computer can simulate a large variety of linear and nonlinear integro-differential equations by carefully choosing the conductance and the dynamics of the memristor state variable.
Measurement-based adaptation protocol with quantum reinforcement learning
In our protocol, we consider a system composed of three parts, the "environment" system, which provides the reference state copies; the register, which is an auxiliary subsystem that interacts with the environment to acquire information from it; and the agent, which corresponds to the quantum state that is adapted by digital feedback with input corresponding to the outcome of the measurements on the register.
Enhanced Quantum Synchronization via Quantum Machine Learning
By using a digital-analog decomposition of the master equation that rules the system dynamics, we show that this approach leads to quantum synchronization between both two-level systems.
Multiqubit and multilevel quantum reinforcement learning with quantum technologies
We propose a protocol to perform quantum reinforcement learning with quantum technologies.
