Quantum computers have the potential to revolutionize fields like energy and materials science. But their basic building blocks—qubits—are currently extremely fragile and can lose their information from even the slightest disturbances like heat, stray electromagnetic signals, or vibrations. That’s why, in the near term, real breakthroughs in quantum computing will depend on correcting errors, requiring that quantum devices work in tandem with today’s most powerful traditional computing resources, such as high-performance computers (HPCs).
NVIDIA CEO Jensen Huang announces NVQLink partners Berkeley Lab and QubiC at the NVIDIA GTC Conference on October 28, 2025. (Chris Spitzer, Berkeley Lab)
This NVQLink partnership was announced on Tuesday, October 28, at the NVIDIA GPU Technology Conference in Washington, D.C.
The collaboration will leverage Berkeley Lab’s Quantum bit Controller (QubiC) to run hybrid applications on Quantum Processing Units (QPUs), Graphics Processing Units (GPUs), and Central Processing Units (CPUs) as needed. When QPUs, GPUs, CPUs, and their control systems are tightly connected and can exchange data quickly and in large amounts, developers can tackle the heavy computational demands of quantum error correction—a process that detects and fixes mistakes in quantum calculations by spreading information across many qubits, which is essential for turning unreliable physical qubits into robust “logical qubits,” making quantum computers stable enough to run advanced applications.
“QubiC is one of the first open-source platforms to tightly integrate quantum hardware control, hybrid quantum-classical workflows, and high-performance computing in a modular, extensible way,” said Gang Huang, a staff scientist in Berkeley Lab’s Accelerator Technology & Applied Physics (ATAP) Division and principal investigator of the QubiC project. “By focusing on open access and seamless orchestration of QPUs, GPUs, and CPUs within supercomputing environments, our NVQlink partnership is setting a new standard for collaborative, scalable, and accessible quantum research.”
Read the full article:
New Lab and NVIDIA Partnership Integrates Quantum and AI Supercomputing for Next-Generation Research
October 29, 2025 / Berkeley Lab News Center
