In ‘Represent me: please! Towards an ethics of digital twins in medicine’,1 Braun analyses the potential for simulations human organs and bodies, or ‘digital twins,’ to faithfully a person. Drawing from several French philosophers, he introduces ‘first conditions take on ethically justifiable form representation’.1 The analysis predominantly focuses challenges that arise terms representation,...

Efficient sampling from a classical Gibbs distribution is an important computational problem with applications ranging statistical physics over Monte Carlo and optimization algorithms to machine learning. We introduce family of quantum that provide unbiased samples by preparing state encoding the entire distribution. show this approach leads speedup Markov chain algorithm for several examples i...

Quantum computers are capable of efficiently contracting unitary tensor networks, a task that is likely to remain difficult for classical computers. For instance, networks based on matrix product states or the multi-scale entanglement renormalization ansatz (MERA) can be contracted small quantum computer aid simulation large system. However, without ability selectively reset qubits, associated ...

Abstract Bangladesh stands out as a climate change hot spot due to its unique geography, climate, high population density, and limited adaptation capacity. Mounting evidence suggests that the country is already suffering from effects of which may get worse without aggressive action. Here, we use an ensemble high-resolution (10 km) regional model simulations project near-term in extremes, mainly...