Results 141 to 150 of about 96,436 (259)
Critical quantum metrology robust against dissipation and nonadiabaticity. [PDF]
Lü JH +8 more
europepmc +1 more source
Molecular dipole engineering in dendritic perylene diimide polymers through nitrogen‐rich heterocyclic linkers amplifies the built‐in electric field, enabling sub‐picosecond charge separation and efficient multi‐electron accumulation. This structure–dynamics–performance relationship establishes a versatile design strategy for high‐performance organic ...
Ying‐Xin Qiao +11 more
wiley +1 more source
Experimental Joint Estimation of Phase and Phase Diffusion Via Deterministic Bell Measurements. [PDF]
Wang B, Mi M, Wang H, Xie Q, Zhang L.
europepmc +1 more source
Optimizing the heterointerface coverage of the conducting Ni2P nanoparticles on the surface of BVO photoanode manipulates the surface Fermi‐level modulation, which significantly enhances photoelectrochemical oxygen evolution reaction. Our multiscale simulations and experimental results reveal that an optimal Ni2P coverage of 9.4% pins the surface Fermi
Phuong Thi Pham +14 more
wiley +1 more source
Optimizing precision in quantum metrology through engineered environments. [PDF]
Berrada K.
europepmc +1 more source
On the bias in iterative quantum amplitude estimation
Miyamoto K. On the bias in iterative quantum amplitude estimation. EPJ Quantum Technology 11, 42 (2024); https://doi.org/10.1140/epjqt/s40507-024-00253-x. Quantum amplitude estimation (QAE) is a pivotal quantum algorithm to estimate the squared amplitude a of the target basis state in a quantum state |Φ〉.
openaire
Five‐coordinate, square‐pyramidal Fe(II) complexes adopting polar, non‐centrosymmetric crystal structures exhibit exceptionally large easy‐axis magnetic anisotropy. Ligand‐driven distortions critically control the anisotropy, and the dielectric, Polarization vs Elecric field and piezo response studies confirm intrinsic polarization, positioning these ...
Vijaya Thangaraj +6 more
wiley +1 more source
QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation. [PDF]
Ivashkov P +4 more
europepmc +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Training the parametric interactions in an analog bosonic quantum neural network with Fock basis measurement. [PDF]
Dudas J +4 more
europepmc +1 more source

