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Quantum machine learning nears practicality as partial error correction reduces hardware demands
Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...
In recent years, quantum computers have begun to handle double-digit quantum bits, or qubits. However, many essential applications targeted by quantum computers, such as quantum chemistry, ...
In September, Microsoft made an unusual combination of announcements. It demonstrated progress with quantum error correction, something that will be needed for the ...
Today’s quantum computing hardware is severely limited in what it can do by errors that are difficult to avoid. There can be problems with everything from setting the initial state of a qubit to ...
These novel error-correction codes can handle quantum codes with hundreds of thousands of qubits, potentially enabling large-scale fault-tolerant quantum computing, with applications in diverse fields ...
The company says it has cracked the code for error correction and is building a modular machine in New York state. IBM announced detailed plans today to build an ...
Researchers at Google Quantum AI and collaborators have developed a quantum processor with error rates that get progressively smaller as the number of quantum bits ...
That’s why the field is racing to develop and implement quantum error-correction (QEC) schemes to alleviate the technology’s inherent unreliability. These approaches involve building redundancies into ...
Researchers from Google have demonstrated a new generation of quantum computer, called Willow, which is able to run its random circuit sampling (RCS) benchmark significantly faster than a ...
QuEra Computing (QEC) has unveiled a roadmap for advanced error-corrected quantum computers, in which it plans to achieve 100 logical error-corrected qubits in 2026. The roadmap starts this year, with ...
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