US Department of Energy national laboratory
Appears in 3 stories
Developer of QUOPS benchmark
Designing software for fault-tolerant quantum computers has meant rebuilding the toolchain every time a hardware maker changes its qubit type or error-correction code. Nvidia's CUDA-Q Logical, announced Sep 14, gives researchers a single programmable layer to model algorithms, error-correction methods, and processor architectures side-by-side before building hardware.
Updated Sep 15
Operating world's largest neuromorphic systems for national security research
For decades, simulating the physics of airplane wings, nuclear weapons, or weather systems required warehouse-sized supercomputers consuming megawatts of power. Researchers at Sandia National Laboratories have now demonstrated that brain-inspired neuromorphic chips can solve these same equations (the partial differential equations underlying nearly all physics simulations) with a fraction of the energy.
Updated May 29
Collaborating on CMOS photonics for quantum computing
Quantum computers promise to revolutionize drug discovery, cryptography, and materials science—but only if they can scale from today's dozens of qubits to millions. The bottleneck isn't the qubits themselves; it's the massive control systems: each qubit needs laser beams precisely controlled by bulky modulators, and thousands of cables snaking from room temperature into refrigerators colder than deep space. A lab rack that controls 100 qubits would need an entire data center to control a million.
Updated May 16
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