Variational quantum algorithms (VQAs) are widely applied in the noisy intermediate-scale era and expected to demonstrate advantage. However, training VQAs faces difficulties, one of which is so-called barren plateaus (BP) phenomenon, where gradients cost functions vanish exponentially with number qubits. In this paper, inspired by transfer learning, knowledge pre-solved tasks could be further u...

Variational quantum algorithms (VQAs) are among the most promising in era of Noisy Intermediate Scale Quantum Devices. Such constructed using a parameterization U($\pmb{\theta}$) with classical optimizer that updates parameters $\pmb{\theta}$ order to minimize cost function $C$. For this task, general gradient descent method, or one its variants, is used. This method where circuit updated itera...

Wide-ranging species cannot persist in reserves alone. Consequently, there is growing interest in the conservation value of agricultural lands that separate or buffer natural areas. The value of agricultural lands for wildlife habitat and connectivity varies as a function of the crop type and landscape context, and quantifying these differences will improve our ability to manage these lands mor...

There is a growing threat of urban flooding, particularly in Pakistan that needs attention and requires effective management strategies. The chief trigger for flooding the rapid unplanned urbanization areas where impermeable surface inhibits rainwater diffusion changes natural water flow. In many developed countries, technique harvesting implemented as sustainable strategy to manage stormwater....

Experiences worldwide reveal that degraded lands restoration projects achieve little success or fail. Hence, understanding the underlying causes and accordingly, devising appropriate restoration mechanisms is crucial. In doing so, the ever-increasing aspiration and global commitments in degraded lands restoration could be realized. Here we explain that arbuscular mycorrhizal fungi (AMF) biotech...

A bstract The existence of barren plateaus has recently revealed new training challenges in quantum machine learning (QML). Uncovering the mechanisms behind is essential understanding scope problems that QML can efficiently tackle. Barren have been shown to exist when global properties random unitaries, which relevant black hole dynamics. Establishing whether local cost functions circumvent the...

Perennial cellulosic feedstocks may have potential to reduce life-cycle greenhouse gas (GHG) emissions by offsetting fossil fuels. However, this potential depends on meeting a number of important criteria involving land cover change, including avoiding displacement of agricultural production, not reducing uncultivated natural lands that provide biodiversity habitat and other valued ecosystem se...