Bra-ket notation, Quantum entanglement, Condensed matter physics, Quantum field theory, Quantum mechanics, Photon
Real time evolution with neural-network quantum states
Irene López Gutiérrez and Christian B. Mendl, Quantum 6, 627 (2022). A promising application of neural-network quantum states is to describe the time dynamics of many-body quantum systems. To realize this idea, we employ neural-network quantum states to appro…
Real time evolution with neural-network quantum states
Irene López Gutiérrez and Christian B. Mendl, Quantum 6, 627 (2022). A promising application of neural-network quantum states is to describe the time dynamics of many-body quantum systems. ...
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“Sky Is The Limit”: Aiming For A Theory Of Everything
These developments – extension of artificial intelligence, machine learning and neural networks are of prime importance for advancement of research in frontier Physics.
Living bibliography for the problem of defining wavefunction branches
This post is (a seed of) a bibliography covering the primordial research area that goes by some of the following names: The “preferred-factorization problem”, aka “quantum mereology”, in ...
Alibaba Quantum Laboratory
Our results are motivated by, and directly relevant to, recent experiments with Rydberg-dressed atoms in optical lattices, where ladder dynamics has already been demonstrated, and emphasize ...
QuantumCumulants.jl: A Julia framework for generalized mean-field equations in open quantum systems
David Plankensteiner, Christoph Hotter, and Helmut Ritsch, Quantum 6, 617 (2022). A full quantum mechanical treatment of open quantum systems via a Master equation is often limited by the ...
Neural Quantum States
Picture by By Tatiana Shepeleva/shutterstock.com One of the most challenging problems in modern theoretical physics is the so-called many-body problem. Typic…
Machine Learning in the Quantum Era
Machine Learning unlocks the potential of emerging Quantum Computers
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Particularly successful are approaches based on Matrix Product States (MPS) [31–33], allowing to efficiently simulate the Quantum Fourier Transform of initial states of manageable bond ...
Machine learning for quantum matter
(2020). Machine learning for quantum matter. Advances in Physics: X: Vol. 5, No. 1, 1797528.
Coherent Ising machines—Quantum optics and neural network Perspectives
A coherent Ising machine (CIM) is a network of optical parametric oscillators (OPOs), in which the “strongest” collective mode of oscillation at well above threshold corresponds to an ...