IBM Quantum Builds Classical Support for Rising Qubit Counts

The increasing complexity of quantum computers is driving a surprising reliance on classical computing infrastructure, as Nvidia announced in April new AI-based software designed to accelerate the essential classical tasks that underpin quantum operations. While quantum bits, or qubits, are inherently requiring constant calibration and error correction, digital computer chips operate flawlessly and can perform trillions of operations without error, a stark contrast highlighting the current need for robust classical support. Sydney-based Q-CTRL is now leveraging Nvidia’s agent-based system with its own automatic calibration algorithm to address this challenge, joining IBM Quantum, Riverlane, and Google Quantum AI in developing similar tools. “The cheapest and fastest way to execute most computer programs is to run them on a classical computer—even if a quantum computer is available,” says Adam Zalcman, a quantum software engineer at Google Quantum AI, emphasizing that hybrid quantum-classical architectures are likely the most practical…