Kernel methods are a cornerstone of classical machine learning. The idea using quantum computers to compute kernels has recently attracted attention. Quantum embedding (QEKs), constructed by data into the Hilbert space computer, particular kernel technique that is particularly suitable for noisy intermediate-scale devices. Unfortunately, face three major problems: Constructing matrix quadratic ...

Policy, business, finance and civil society stakeholders are increasingly looking to compare future emissions pathways across both their associated physical climate risks stemming from increasing temperatures transition the shift a low-carbon economy. Here, we present an integrated framework explore near-term (to 2030) longer-term 2050) risks, globally in specific regions, for range of plausibl...