Results 91 to 100 of about 102,454 (262)
A Quantum Implementation Model for Artificial Neural Networks
The learning process for multilayered neural networks with many nodes makes heavy demands on computational resources. In some neural network models, the learning formulas, such as the Widrow–Hoff formula, do not change the eigenvectors of the weight ...
Ammar Daskin
doaj +1 more source
Extracting Spatial Information from Noise Measurements of Multi-Spatial-Mode Quantum States
We show that it is possible to use the spatial quantum correlations present in twin beams to extract information about the shape of a mask in the path of one of the beams.
A. Gatti +28 more
core +1 more source
Nanodiamond Quantum Sensors for Probing Free Radical Biology
Free radicals play key roles in cellular signaling and disease but remain difficult to measure in living systems. Nanodiamonds (NDs) with nitrogen‐vacancy (NV) centers enable quantum sensing of local magnetic noise via T₁ relaxometry, providing nondestructive radical detection in living cells.
Qi Lu, Yingke Wu, Tanja Weil
wiley +1 more source
Classical postprocessing approach for quantum amplitude estimation
We propose an approach for quantum amplitude estimation (QAE) designed to enhance computational efficiency while minimizing the reliance on quantum resources. Our method leverages quantum computers to generate a sequence of signals, from which the quantum amplitude is inferred through classical post-processing techniques.
Yongdan Yang, Ruyu Yang
openaire +3 more sources
Mitigating sloppiness in joint estimation of successive squeezing parameters
When two successive squeezing operations with the same phase are applied to a field mode, reliably estimating the amplitude of each is impossible because the output state depends solely on their sum.
Priyanka Sharma +3 more
doaj +1 more source
Quantum Signal Processing and Quantum Singular Value Transformation on $U(N)$ [PDF]
Quantum signal processing and quantum singular value transformation are powerful tools to implement polynomial transformations of block-encoded matrices on quantum computers, and has achieved asymptotically optimal complexity in many prominent quantum ...
Xi Lu, Yuan Liu, Hongwei Lin
doaj +1 more source
Measurement-based quantum control of mechanical motion
Controlling a quantum system based on the observation of its dynamics is inevitably complicated by the backaction of the measurement process. Efficient measurements, however, maximize the amount of information gained per disturbance incurred.
A Kubanek +55 more
core +1 more source
We report phosphine‐oxide interlayers for wide‐bandgap perovskite solar cells, in which tuned P = O Lewis basicity enables selective passivation of buried NiOx/perovskite interfaces and introduces interfacial dipoles that strengthen the built‐in field.
JeeHee Hong +6 more
wiley +1 more source
Rejection sampling is a well-known method to sample from a target distribution, given the ability to sample from a given distribution. The method has been first formalized by von Neumann (1951) and has many applications in classical computing.
Berry D. W. +8 more
core +1 more source
Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors
Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee +5 more
wiley +1 more source

