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May Dongmei Wang is a Chinese-American biomedical engineer whose research involves biomedical big data analytics, the interpretation and application of big data in medicine and biology, as generated from microarrays and quantum dots.
Quantum Clustering (QC) is a class of data-clustering algorithms that use conceptual and mathematical tools from quantum mechanics. QC belongs to the family of density-based clustering algorithms, where clusters are defined by regions of higher density of data points.
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.
Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving and often expediting classical machine learning techniques. Such algorithms typically require one to encode the given classical data set into a quantum computer to make it accessible for quantum information processing.
IBM Quantum System Two is the first modular utility-scaled quantum computer system, unveiled by IBM on December 4, 2023. [1]It is a successor to the IBM Quantum System One.. It contains three IBM Quantum Heron processors, which can be scaled up due to its modularity, and later upgraded for newer QPU's, as it is fully upgradeable.
Frankly, that’s changed because it was a very simplistic view.” (In 2023, startups focused on quantum computing snagged almost $1.2 billion, a solid uptick compared to 2022, when the sector ...
Electronic quantum holography (also known as quantum holographic data storage) is an information storage technology which can encode and read out data at unprecedented density storing as much as 35 bits per electron. [1]
Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]