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About MCTDH-X

About UNIQORN

Upcoming Journal Club

Tuesday, 30/5/2023, 5:30pm CET

Deep reinforcement learning for quantum multiparameter estimation

https://arxiv.org/abs/2209.00671

by Valeria Cimini (Sapienza Università di Roma)

Latest Version

v3.01

Released: 16/07/2021

0.7 BETA

Released: 16/07/2020

Last Papers

PRL: Dipolar Bosonic Crystal Orders via Full Distribution Functions

Quantum Science and Technology: MCTDH-X software tutorial paper published

RMP Colloquium on MCTDH-X et al.

PRA: Superfluid -- Mott insulator transition of ultracold superradiant bosons in a cavity

NJP: Correlations of ultracold dipolar bosons in optical lattices

MCTDH-X single-shot simulations reproduce reproduce experimentally observed quantum fluctuations
MCTDH-X solves the Schrödinger equation for ultracold atoms that interact with photons in a cavity
MCTDH-X can handle bosons with spin
MCTDH-X can solve the Schrödinger equation for lattices
MCTDH-X can deal with the dynamics of fermions
UNIQORN optimizes the observable extraction with machine learning