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Quantum memory is essential for the development of many devices in quantum information processing, including a synchronization tool that can match the various processes in a quantum computer, a quantum gate that maintains the identity of any state, and a mechanism for converting predetermined photons into on-demand photons. Quantum memory can ...
The state of this one-qubit quantum memory can be manipulated by applying quantum logic gates, analogous to how classical memory can be manipulated with classical logic gates. One important gate for both classical and quantum computation is the NOT gate, which can be represented by a matrix X := ( 0 1 1 0 ) . {\displaystyle X:={\begin{pmatrix}0 ...
The Margolus–Levitin theorem sets a bound on the maximum computational speed per unit of energy: 6 × 10 33 operations per second per joule.This bound, however, can be avoided if there is access to quantum memory.
Quantum machine learning also extends to a branch of research that explores methodological and structural similarities between certain physical systems and learning systems, in particular neural networks. For example, some mathematical and numerical techniques from quantum physics are applicable to classical deep learning and vice versa. [23 ...
At the U of A, LeBlanc started a research group and leads quantum simulation experiments and explores atomic quantum memory and hybrid quantum technologies. [3] She has led development of new techniques to build quantum memories using ultracold rubidium atoms to store pulses of light encoding quantum information. [10]
Linking quantum memories will be a critical to the development of quantum communication.
This intuition is captured by the noisy-storage model, [1] which includes the bounded-quantum-storage model as a special case. [11] Such a limitation can, for example, come about if the memory device is extremely large, but very imperfect. In information theory such an imperfect memory device is also called a noisy channel. The motivation for ...
is a quantum instruction set architecture that first introduced a shared quantum/classical memory model. It was introduced by Robert Smith, Michael Curtis, and William Zeng in A Practical Quantum Instruction Set Architecture. [43]