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With focus on business management's point of view, the potential applications of quantum computing into four major categories are cybersecurity, data analytics and artificial intelligence, optimization and simulation, and data management and searching. [145] Investment in quantum computing research has increased in the public and private sectors.
The hope is that features of quantum computing such as quantum parallelism or the effects of interference and entanglement can be used as resources. Since the technological implementation of a quantum computer is still in a premature stage, such quantum neural network models are mostly theoretical proposals that await their full implementation ...
Quantum finance is an interdisciplinary research field, applying theories and methods developed by quantum physicists and economists in order to solve problems in finance. It is a branch of econophysics. Quantum computing is now being used for a number of financial applications, including fraud detection, stock price prediction, portfolio ...
Over the last three months, the stock prices for Rigetti Computing, Quantum Computing, D-Wave Quantum, and IonQ have each experienced considerable momentum. RGTI Chart RGTI data by YCharts.
VQAs are one of the most studied classes of quantum algorithms, as modern research demonstrates their applicability to the vast majority of known major applications of the quantum computer, and they appear to be a leading hope for gaining quantum supremacy. [41] VQAs are a mixed quantum-classical approach where the quantum processor prepares ...
Quantum computing may very well be a revolutionary technology in the future, and that may lead to multiple large businesses. But there's a lot of risk given the lack of revenue and commercial ...
For combinatorial optimization, the quantum approximate optimization algorithm (QAOA) [6] briefly had a better approximation ratio than any known polynomial time classical algorithm (for a certain problem), [7] until a more effective classical algorithm was proposed. [8] The relative speed-up of the quantum algorithm is an open research question.
Important applications of quantum theory include quantum chemistry, quantum optics, quantum computing, superconducting magnets, light-emitting diodes, the optical amplifier and the laser, the transistor and semiconductors such as the microprocessor, medical and research imaging such as magnetic resonance imaging and electron microscopy. [4]