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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.
Quantum computing stocks may be next. Companies such as Quantum Computing Inc. (NASDAQ: QUBT) , IonQ (NYSE: IONQ) , and Rigetti Computing (NASDAQ: RGTI) are up big in the last few months.
Google has unveiled its new chip, Willow, which outperforms current computer benchmarks. Google says the chip solves a 30-year hurdle and advances quantum computing for commercial uses.
Quantum computing isn't key to the Alphabet investing thesis As of the time of writing, Alphabet's stock has risen around 10% since it announced Willow's results.
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.
IBM Quantum System One is the first circuit-based commercial quantum computer, introduced by IBM in January 2019. [1] [2] [3] This integrated quantum computing system is housed in an airtight borosilicate glass cube that maintains a controlled physical environment. [2] [4] Each face of the cube is 9 feet (2.7 m) wide and tall. [2]
Elon Musk is wowed by Google’s new quantum chip, which it claims ‘cracks a key challenge’ that’s existed for almost 3 decades Dave Smith Updated December 10, 2024 at 10:38 AM
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 ...
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