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.
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.
Physics and Computation (with Nuclear Spins)
21 May 2020 | | Contributor(s):: Gerardo Ortiz
There is a deep connection between Physics and Computation. Indeed, any computation can be represented as a physical process. In 1981 Richard Feynman raised some provocative questions in connection to the simulation of physical phenomena using a special device called a "Quantum...
Cody Alexander Trevillian
Is it safe to call on Cash app customer service phone number?
Closed | Responses: 0
To make your cash app account safer and secure, keep everyone away from your account. As well as follow all the possible...
PennyLane - Automatic Differentiation and Machine Learning of Quantum Computations
29 Apr 2020 | | Contributor(s):: Nathan Killoran
PennyLane is a Python-based software framework for optimization and machine learning of quantum and hybrid quantum-classical computations.
Raphael C. Pooser
The Algebra of Topological Quantum Computing
05 Dec 2019 | | Contributor(s):: Qing Zhang
In this talk, I will discuss some recent results in the theory of tensor categories, motivated by this connection with topological quantum computation.