Accurate models of real quantum systems are important for investigating their behaviour, yet are difficult to distil empirically.Here, we report an algorithm—the quantum model learning agent (QMLA)—to reverse engineer Hamiltonian descriptions of a target system.We test the performance of QMLA on a number of simulated experiments, demonstrating
We deal with a wide range of colors in our daily life.They are such ubiquitous phenomena that is hard and next to impossible to imagine even a single entity (be it an object, place, living creature, etc) devoid of them.They are like death and tax which nobody can dispense with.This omnipresence of colors around us has also made its way through abst
Both constructivist learning and situation-cognitive learning believe that learning outcomes are significantly affected by the context or learning environments.However, since 2019, the world has been ravaged by COVID-19.Under the threat of the virus, many offline activities, such as some practical or engineering courses, have been subjected to cert
The presence of zoonotic poxviruses in nature represents a potential Goalie - Sticks - Junior human health risk that has to be re-evaluated by health authorities not only in developing countries, but also in many developed countries.For example, buffalopox virus infection remains to be a threat to humans and cattle in India, and monkeypox virus inf
ABSTRACT Corticosteroids have become a choice for managing severe COVID-19, but the molecular mechanisms behind the response after corticosteroid administration remain incompletely understood.In order to unravel this, comparisons between temporal metabolic profiles in the plasma samples of methylprednisolone (MP)- and placebo-treated COVID-19 patie