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Found 7 papers, 5 papers with code
On scientific understanding with artificial intelligence
Imagine an oracle that correctly predicts the outcome of every particle physics experiment, the products of every chemical reaction, or the function of every protein.
Design of quantum optical experiments with logic artificial intelligence
In this work, we propose the use of logic AI for the design of optical quantum experiments.
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
The complex relationship between the setup structure of a quantum experiment and its entanglement properties is essential to fundamental research in quantum optics but is difficult to intuitively understand.
Noisy intermediate-scale quantum (NISQ) algorithms
We additionally provide a comprehensive overview of various benchmarking and software tools useful for programming and testing NISQ devices.
Tequila: A platform for rapid development of quantum algorithms
As in classical computing, heuristics play a crucial role in the development of new quantum algorithms, resulting in high demand for flexible and reliable ways to implement, test, and share new ideas.
Quantum Physics Chemical Physics Computational Physics
The Meta-Variational Quantum Eigensolver (Meta-VQE): Learning energy profiles of parameterized Hamiltonians for quantum simulation
We present the meta-VQE, an algorithm capable to learn the ground state energy profile of a parametrized Hamiltonian.
Quantum Physics
Data re-uploading for a universal quantum classifier
A single qubit provides sufficient computational capabilities to construct a universal quantum classifier.
Quantum Physics
