Nilanajana Datta: Generalized relative entropies, entanglement monotones and a family of one-shot quantum protocols We introduce two generalized relative entropies which act as parent quantities for optimal one-shot rates of various information-processing tasks, which can be structured into a family tree within the resource framework of Quantum Information Theory.
Nonclassicality of a quantum system is not only a beneficial topic for academic interest in itself, but its results can be useful resources for quantum information and computation as well.
The two physicists, Daniel Greenberger and Karl Svozil (2005 in Other Internet Resources), imagine some form of quantum mechanical feedback by introducing figurative beam splitters which are unitary, i.e., the splitters allow the feedback loop to be reversed because they have the same number of entry ports and exit ports.
Multi-particle entanglement is an essential resource for a variety of quantum information processing tasks.
In circuit quantum electrodynamics, the controllable interaction of circuit elements is a highly desirable resource for quantum computation and quantum simulation experiments.
The spin of the nitrogen vacancy centre in diamond is a powerful resource for quantum control.
For parallel resources, such as the number of quantum systems, entanglement can be utilized to achieve Heisenberg scaling.
Notwithstanding the excitement around the discovery of Shor's algorithm, and apart from the almost insurmountable problem of practically realizing and implementing a large scale quantum computer, a crucial theoretical question remains open, namely, what physical resources are responsible for the putative power of quantum computing?
As the size and complexity of quantum information processing technologies increase, resource-efficiency will play a vital role in selecting methods designed to reduce errors in quantum coherent hardware systems.
We thus need to employ techniques from the field of quantum metrology, which aims at exploiting quantum resources, such as entanglement, to estimate physical parameters [4].
