Complex-valued neural networks have been found highly useful in extending the scope of applications in optoelectronics, filtering, imaging, speech synthesis, computer vision, remote sensing, quantum devices, spatio-temporal analysis of physiological neural devices and systems, and artificial neural information processing [20, 21].
Using highly controllable quantum devices to study other quantum systems, i.e., quantum simulation [1 4], offers a means to tackle strongly correlated fermion models that are intractable on classical computers.
Abstract: The next milestone in experimental quantum information processing is the demonstration of a quantum advantage, i.e. the unambiguous demonstration of an information processing task, no matter how trivial, at which a quantum device outperforms a classical computer.
For years, high-level algorithms for quantum computers have shown considerable promise, and recent advances in quantum device fabrication offer hope of utility.
The first strategy makes only minimal use of the quantum computer, as a mere hardware addition to a conventional machine-learning system: the quantum device returns similarities when given two data points.
Unfortunately, it involved building an artificially intelligent observer and, even more problematically, that observer had to be a quantum computer, a device that exploits quantum mechanics to do huge numbers of calculations in parallel.
Optical computing — using light rather than electricity to perform calculations — could pay dividends for both conventional computers and quantum computers, largely hypothetical devices that could perform some types of computations exponentially faster than classical computers.
Our study might be suitable for spintronics-related technologies such as memory and quantum-computer devices.
Quantum computer, device that employs properties described by quantum mechanics to enhance computations.
Harvard scientists have taken a critical step toward building a quantum computer — a device that could someday harness, for example, the intrinsic properties of subatomic particles such as electrons to perform calculations far faster than the most powerful supercomputers.
