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Stasja's view on our recent work - Observing ground-state properties of the Fermi-Hubbard model using a scalable algorithm on a quantum computer

Today researchers from Phasecraft, the University of Bristol, and Google Quantum AI published the re...

11.10.22

arXiv

Research paper: Predicting parameters for the Quantum Approximate Optimization Algorithm for MAX-CUT from the infinite-size limit

Combinatorial optimization is regarded as a potentially promising application of near and long-term ...

22.10.21

arXiv

Research paper: Probing ground state properties of the kagome antiferromagnetic Heisenberg model using the Variational Quantum Eigensolver

Finding and probing the ground states of spin lattices, such as the antiferromagnetic Heisenberg mod...

18.08.21

arXiv

Research paper: Probing ground state properties of the kagome antiferromagnetic Heisenberg model using the Variational Quantum Eigensolver

Finding and probing the ground states of spin lattices, such as the antiferromagnetic Heisenberg mod...

18.08.21

arXiv

Research paper: Error mitigation by training with fermionic linear optics

Noisy intermediate-scale quantum (NISQ) computers could solve quantum-mechanical simulation problems...

03.02.21

arXiv

Research paper: Compressed variational quantum eigensolver for the Fermi-Hubbard model

The Fermi-Hubbard model is a plausible target to be solved by a quantum computer using the variation...

03.06.20

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