quantum computing
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This article explores the effect of quantum computing on data science and AI, looking at the fundamental concepts of quantum computing and the key terms used in the field. It also covers the challenges that lie ahead for quantum computing and how they can be overcome.
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Although quantum computing, or quantum processing, has still not become a reality in the oil and gas industry, it will prove disruptive according to an executive of a Brazilian player.
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Google takes the wraps off its Quantum AI campus in California and shows off its plans for an "error-corrected" quantum device.
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Researchers in the Netherlands have established an entanglement-based network between three quantum processors for the first time.
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Honeywell's H1 quantum system has reached a record-high quantum volume.
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Using a method called quantum annealing, D-Wave's researchers demonstrated that a quantum computational advantage could be achieved over classical means.
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Total is stepping up its research into carbon capture, utilization, and storage technologies by signing a multiyear partnership with UK startup Cambridge Quantum Computing. This partnership aims to develop new quantum algorithms to improve materials for carbon capture.
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When Google claimed quantum supremacy, IBM challenged it. Nonetheless, the development is really important for the future of artificial intelligence.
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Physicists have been talking about the power of quantum computing for more than 30 years, but the questions have always been: Will it ever do something useful, and is it worth investing in?
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Quantum computers exploit the peculiar behavior of objects at the atomic scale and use the qubit as the basic unit of quantum computing. A quantum computer with only 100 qubits would, theoretically, be more powerful than all the supercomputers on the planet combined.