Quantum-Classical

Rigetti Sets Stage for Quantum Advantage on a High-Impact, Operationally Relevant Challenge

Rigetti Computing, a pioneer in hybrid quantum-classical computing, announced it has developed an effective solution to a weather modeling problem using quantum computers. Building on existing machine learning workflows, the company applied a combination of classical and quantum machine learning techniques to produce high-quality synthetic weather radar data and improve classical models for storm prediction. The work was performed on Rigetti’s 32-qubit system, demonstrating that practical applications are within reach for near-term quantum hardware.

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Quantum Computing’s Fit Into Classical Computing

Computer science theorists have been troubled with answering just what problem could a quantum computer solve that a classical computer would ever possibly accomplish. Collaboration between Princeton University and Stanford University theorists believe they have an answer – finally. This piece explores the question: “[We] want to know, where does quantum computing fit into the world of classical complexity theory?” 

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