Search Results for author:
Found 8 papers, 0 papers with code
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer
We present an experimental realization of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer.
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
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.
Quantum Artificial Life in an IBM Quantum Computer
We present the first experimental realization of a quantum artificial life algorithm in a quantum computer.
Quantum Memristors in Quantum Photonics
We propose a method to build quantum memristors in quantum photonic platforms.
Multiqubit and multilevel quantum reinforcement learning with quantum technologies
We propose a protocol to perform quantum reinforcement learning with quantum technologies.
Quantum autoencoders via quantum adders with genetic algorithms
The quantum autoencoder is a recent paradigm in the field of quantum machine learning, which may enable an enhanced use of resources in quantum technologies.
Digital quantum simulation of spin models with circuit quantum electrodynamics
Systems of interacting quantum spins show a rich spectrum of quantum phases and display interesting many-body dynamics.
Quantum Physics Mesoscale and Nanoscale Physics Strongly Correlated Electrons
