Nature is great at cooling things but getting a quantum computer to do it is hard. Give us an approx ground state, we present an algorithm that: - Cools that state by an amount proportional to its energy fluctuations - Increases its fidelity with the ground state 🧵👇

Initialization closer to a solution in variational quantum simulation yields guarantees on initial trainability, but no guarantee of a good minimum. Ricard Puig Marc Drudis Supanut Thanasilp Zoe Holmes go.aps.org/3CnHcqK

This paper was published yesterday in PRX Quantum! journals.aps.org/prxquantum/abs…

Manuel Rudolph Check out the open-source library at github.com/MSRudolph/Paul…!

New paper out! We present a general bound to study regions with gradients in BP landscapes and study how precise warm starting strategies have to get! For more details follow Hela's great thread