Layerwise learning for quantum neural networks
With the increased focus on quantum circuit learning for near-term applications on quantum devices, in conjunction with unique challenges presented by cost function landscapes of …
With the increased focus on quantum circuit learning for near-term applications on quantum devices, in conjunction with unique challenges presented by cost function landscapes of …
In the current study, the physical and mechanical properties of polypropylene fiber-reinforced lightweight geopolymer concretes are assessed. Geopolymer synthesis consists of rice …
The role of quantum coherence in the dynamics of photosynthetic energy transfer in chromophoric complexes is not fully understood. In this work, we quantify the biological importance …
This paper presents a comprehensive study on the latest grid code regulations enforced by transmission system operators on large wind power plants (WPPs). First, the most common …
In mobile wireless networks, dynamic allocation of resources such as transmit powers, bit-rates, and antenna beams based on the channel state information of mobile users is known to …
Infrared photodetectors (IRPDs) have become important devices in various applications such as night vision, military missile tracking, medical imaging, industry defect imaging, …
Capabilities for turbulence calculations of the Lagrangian averaged Navier–Stokes (LANS-α) equations are investigated in decaying and statistically stationary three-dimensional …
… Masoud Mohseni, Peter Read, Hartmut Neven and … Masoud Mohseni is senior research scientist at Google Quantum Artificial Intelligence Laboratory in Venice, California; …
Background and Aims NAFLD is characterized by insulin resistance and dysregulated lipid and glucose metabolism. Saroglitazar, a dual peroxisome proliferator activated receptor‐α/γ …
The characterization of quantum dynamics is a fundamental and central task in quantum mechanics. This task is typically addressed by quantum process tomography (QPT). Here we …