Here we show the first experimental implementation of quantum Hamiltonian Learning, where a silicon-on-insulator quantum photonic simulator is used to learn the dynamics of an electron-spin in an NV center in diamond.</p
How useful can machine learning be in a quantum laboratory? Here we raise the question of the potent...
Ideas from quantum computation are applied to the field of neural networks to produce competitive le...
The efficient validation of quantum devices is critical for emerging technological applications. In ...
Here we show the first experimental implementation of quantum Hamiltonian Learning, where a silicon-...
We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silic...
The efficient characterization of quantum systems1, 2, 3, the verification of the operations of quan...
Summary form only given. The efficient characterization and validation of the underlying model of a ...
The goal of digital quantum simulation is to approximate the dynamics of a given target Hamiltonian ...
Photonic circuits represent a promising platform to perform quantum simulation of several different ...
79 p.Quantum simulations consist in the reproduction of the dynamics of a quantum systemon a control...
The efficient calculation of Hamiltonian spectra, a problem often intractable on classical machines,...
The efficient calculation of Hamiltonian spectra, a problem often intractable on classical machines,...
Large faulttolerant universal gate quantum computers will provide a major speedup to a variety of ...
Wereport a proof-of-principle experimental demonstration of the quantum speed-up for learning agents...
Identifying an accurate model for the dynamics of a quantum system is a vexing problem that underlie...
How useful can machine learning be in a quantum laboratory? Here we raise the question of the potent...
Ideas from quantum computation are applied to the field of neural networks to produce competitive le...
The efficient validation of quantum devices is critical for emerging technological applications. In ...
Here we show the first experimental implementation of quantum Hamiltonian Learning, where a silicon-...
We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silic...
The efficient characterization of quantum systems1, 2, 3, the verification of the operations of quan...
Summary form only given. The efficient characterization and validation of the underlying model of a ...
The goal of digital quantum simulation is to approximate the dynamics of a given target Hamiltonian ...
Photonic circuits represent a promising platform to perform quantum simulation of several different ...
79 p.Quantum simulations consist in the reproduction of the dynamics of a quantum systemon a control...
The efficient calculation of Hamiltonian spectra, a problem often intractable on classical machines,...
The efficient calculation of Hamiltonian spectra, a problem often intractable on classical machines,...
Large faulttolerant universal gate quantum computers will provide a major speedup to a variety of ...
Wereport a proof-of-principle experimental demonstration of the quantum speed-up for learning agents...
Identifying an accurate model for the dynamics of a quantum system is a vexing problem that underlie...
How useful can machine learning be in a quantum laboratory? Here we raise the question of the potent...
Ideas from quantum computation are applied to the field of neural networks to produce competitive le...
The efficient validation of quantum devices is critical for emerging technological applications. In ...
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