First proposed in the 1970s, quantum computing relies on quantum physics by taking advantage of certain quantum physics properties of atoms or nuclei that allow them to work together as quantum bits, or qubits, to be the computer's processor and memory. By interacting with each other while being isolated from the external environment, qubits can perform certain calculations exponentially faster than conventional computers.
Learn more about quantum dots from the many resources on this site, listed below. More information on Quantum computing can be found here.
Sai Sidhartha Hasti
Suraj R Gupta
Classical Computing with Topological States: Coping with a post-Moore World
21 Jun 2021 | | Contributor(s):: Avik Ghosh
There are two examples I will focus on ? one is doing conventional Boolean logic at low power below the thermal Boltzmann limit, using the topological properties of Dirac fermions to control transmission across a gated interface. The other is doing collective computing using temporal state...
Marco Di Gennaro
Braulio Misael Villegas Martinez
Quantum Computer, Quantum Parallelism, and Quantum Electromagnetics
18 Jan 2021 | | Contributor(s):: Weng Cho Chew
Peter J. Love
Quantum Mathematics: Counting, Computing, and Reasoning with Quantum Numbers
18 Dec 2020 | | Contributor(s):: Zhenghan Wang
In this talk I will explain the basics of wave functions, quantum computing, and speculate on implications for future mathematics.
Designing a NISQ Reservoir with Maximal Memory Capacity for Volatility Forecasting
28 Oct 2020 | | Contributor(s):: Samudra Dasgupta
In this talk, we lay out the systematic design considerations for using a NISQ reservoir as a computing engine. We then show how to experimentally evaluate the memory capacity of various reservoir topologies (using IBM-Q’s Rochester device) to identify the configuration with maximum...
A Single Atom Transistor: The Ultimate Scaling Limit – Entry into Quantum Computing
14 Oct 2020 | | Contributor(s):: Gerhard Klimeck
50th European Solid-State Device Research Conference
James Curtis Belt
Onri Jay Benally
Probabilistic Computing: From Materials and Devices to Circuits and Systems
07 Sep 2020 | | Contributor(s):: Kerem Yunus Camsari
In this talk, I will describe one such path based on the concept of probabilistic or p-bits that can be scalably built with present-day technology used in magnetic memory devices.