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We present an iterative generalisation of the quantum subspace expansion algorithm used with a Krylov basis. The iterative construction connects a sequence of subspaces via their lowest energy states. Diagonalising a Hamiltonian in a given Krylov sub
Externí odkaz:
http://arxiv.org/abs/2403.08868
Computing vacuum states of lattice gauge theories (LGTs) containing fermionic degrees of freedom can present significant challenges for classical computation using Monte-Carlo methods. Quantum algorithms may offer a pathway towards more scalable comp
Externí odkaz:
http://arxiv.org/abs/2403.08859
Autor:
Anderson, Lewis W., Kiffner, Martin, Barkoutsos, Panagiotis Kl., Tavernelli, Ivano, Crain, Jason, Jaksch, Dieter
Publikováno v:
Phys. Rev. A 105, 062409 (2022)
Variational quantum algorithms (VQAs) are increasingly being applied in simulations of strongly-bound (covalently bonded) systems using full molecular orbital basis representations. The application of quantum computers to the weakly-bound intermolecu
Externí odkaz:
http://arxiv.org/abs/2110.00968
Autor:
Jaderberg, Ben, Anderson, Lewis W., Xie, Weidi, Albanie, Samuel, Kiffner, Martin, Jaksch, Dieter
The resurgence of self-supervised learning, whereby a deep learning model generates its own supervisory signal from the data, promises a scalable way to tackle the dramatically increasing size of real-world data sets without human annotation. However
Externí odkaz:
http://arxiv.org/abs/2103.14653
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