Content deleted Content added
m Open access bot: doi added to citation with #oabot. |
Citation bot (talk | contribs) Alter: title, template type. Add: s2cid, arxiv, doi, page, issue, volume, journal, authors 1-1. Removed proxy/dead URL that duplicated identifier. Removed parameters. Some additions/deletions were parameter name changes. | Use this bot. Report bugs. | Suggested by Corvus florensis | #UCB_webform 1147/3500 |
||
Line 55:
===Reservoir computing===
{{main|Reservoir computing}}
Reservoir computing is a computational framework derived from recurrent neural network theory that involves mapping input signals into higher dimensional computational spaces through the dynamics of a fixed, non-linear system called a reservoir. The reservoir, which can be virtual or physical, is made up of individual non-linear units that are connected in recurrent loops, allowing it to store information. Training is performed only at the readout stage, as the reservoir dynamics are fixed, and this framework allows for the use of naturally available systems, both classical and quantum mechanical, to reduce the effective computational cost. One key benefit of reservoir computing is that it allows for a simple and fast learning algorithm, as well as hardware implementation through [[Reservoir computing#Physical reservoir computers|physical reservoirs]].<ref>{{Cite journal|
===Tangible computing===
Line 95:
===Atomtronics===
{{main|Atomtronics}}
Atomtronics is a new quantum technology that involves the use of ultra-cold atoms in coherent matter-wave circuits, which can have components similar to those found in electronic or optical systems.<ref>{{Cite journal |last1=Amico |first1=L. |last2=Boshier |first2=M. |last3=Birkl |first3=G. |last4=Minguzzi |first4=A. |last5=Miniatura |first5=C. |last6=Kwek |first6=L.-C. |last7=Aghamalyan |first7=D. |last8=Ahufinger |first8=V. |last9=Anderson |first9=D. |last10=Andrei |first10=N. |last11=Arnold |first11=A. S. |last12=Baker |first12=M. |last13=Bell |first13=T. A. |last14=Bland |first14=T. |last15=Brantut |first15=J. P. |year=2021 |title=Roadmap on Atomtronics: State of the art and perspective |url=https://avs.scitation.org/doi/10.1116/5.0026178 |journal=AVS Quantum Science |language=en |volume=3 |issue=3 |pages=039201 |doi=10.1116/5.0026178 |arxiv=2008.04439 |bibcode=2021AVSQS...3c9201A |s2cid=235417597 |issn=2639-0213}}</ref><ref>{{cite
===Fluidics===
Line 128:
{{main|molecular scale electronics|chemical computing}}
Molecular computing is an unconventional form of computing that utilizes chemical reactions to perform computations. Data is represented by variations in chemical concentrations,<ref name="ijirt.org">{{cite journal |url=http://www.ijirt.org/paperpublished/IJIRT101166_PAPER.pdf |title=Chemical Computing: The different way of computing|first1=Ambar |last1=Kumar|first2=Akash Kumar | last2 =Mahato| first3=Akashdeep |last3=Singh |
==Biochemistry approaches==
| |||