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Quantum Algorithms, Quantum Programming, Quantum Machine Learning, [36] Quantum Software Tools, Open Source Software: Center for Quantum Technologies, National University of Singapore: Singapore: Fujitsu [37] September 28, 2015: Communication Quantum Dots: University of Tokyo: Tokyo, Japan Google QuAIL [38] May 16, 2013: Computing ...
In the paper presented by Smith, Curtis and Zeng, Quil specifies the instruction set for a Quantum Abstract Machine (QAM,) akin to a Turing machine, yet more practical for accomplishing "real-world" tasks. [1] The state of the QAM can be represented as a 6-tuple (| ,,, ′,,) where:
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 ...
Quantum programming is the process of designing or assembling sequences of instructions, called quantum circuits, using gates, switches, and operators to manipulate a quantum system for a desired outcome or results of a given experiment.
Quantum computers are expected to have a number of important uses in computing fields such as optimization and machine learning. They are perhaps best known for their expected ability to carry out Shor's algorithm, which can be used to factorize large numbers and is an important process in the securing of data transmissions.
This list contains quantum processors, also known as quantum processing units (QPUs). Some devices listed below have only been announced at press conferences so far, with no actual demonstrations or scientific publications characterizing the performance. Quantum processors are difficult to compare due to the different architectures and approaches.