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Agilent Technologies, Inc. is an American global company headquartered in Santa Clara, California, that provides instruments, software, services, and consumables for laboratories. Agilent was established in 1999 as a spin-off from Hewlett-Packard. The resulting IPO of Agilent stock was the largest in the history of Silicon Valley at the time.
Cutler worked at Hewlett-Packard Laboratories (1957–1999), where he developed oscillators, atomic frequency standards and designed atomic chronometers. In 1999, he went on to work at Agilent Technologies, a spin-off from H-P, where he developed quartz oscillators, atomic clocks, and used the Global Positioning System to synchronize clocks worldwide. [3]
The Quantum AI Lab was announced by Google Research in a blog post on May 16, 2013. [1] [3] [4] At the time of launch, the Lab was using the most advanced commercially available quantum computer, D-Wave Two from D-Wave Systems. [1] [3] On October 10, 2013, Google released a short film describing the current state of the Quantum AI Lab. [5] [6]
This article lists the companies worldwide engaged in the development of quantum computing, quantum communication and quantum sensing. Quantum computing and communication are two sub-fields of quantum information science , which describes and theorizes information science in terms of quantum physics .
The quantum harmonic oscillator; The quantum harmonic oscillator with an applied uniform field [1] The Inverse square root potential [2] The periodic potential The particle in a lattice; The particle in a lattice of finite length [3] The Pöschl–Teller potential; The quantum pendulum; The three-dimensional potentials The rotating system The ...
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 ...
Neuromorphic quantum computing (abbreviated as ‘n.quantum computing’) is an unconventional computing type of computing that uses neuromorphic computing to perform quantum operations. It was suggested that quantum algorithms, which are algorithms that run on a realistic model of quantum computation, can be computed equally efficiently with ...
Analytical [11] and numerical [12] evidence suggests that quantum annealing outperforms simulated annealing under certain conditions (see Heim et al [13] and see Yan and Sinitsyn [14] for a fully solvable model of quantum annealing to arbitrary target Hamiltonian and comparison of different computation approaches).
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