Quantum crystallography: A perspective

Quantum crystallography.

Approximate wavefunctions can be improved by constraining them to reproduce observations derived from diffraction and scattering experiments. Conversely, charge density models, incorporating electron-density distributions, atomic positions and atomic motion, can be improved by supplementing diffraction experiments with quantum chemically calculated, tailor-made electron densities (form factors)...

Quantum Crystallography: Current Developments and Future Perspectives.

Crystallography and quantum mechanics have always been tightly connected because reliable quantum mechanical models are needed to determine crystal structures. Due to this natural synergy, nowadays accurate distributions of electrons in space can be obtained from diffraction and scattering experiments. In the original definition of quantum crystallography (QCr) given by Massa, Karle and Huang, ...

Quantum crystallography: electron density and bonding, a microsymposium.

Quantum computation from a quantum logical perspective

It is well-known that Shor’s factorization algorithm, Simon’s period-finding algorithm, and Deutsch’s original XOR algorithm can all be formulated as solutions to a hidden subgroup problem. Here the salient features of the informationprocessing in the three algorithms are presented from a different perspective, in terms of the way in which the algorithms exploit the non-Boolean quantum logic re...

Quantum gate design: A perspective