Q/C Technologies, Inc. has signed a collaboration with the Center for Integrated Nanotechnologies (CINT) at Sandia National Laboratories to advance its proprietary optical processing unit (OPU) initiative for AI inference. The startup, which aims to perform computations using light interference rather than transistor logic, announced the agreement on October 1, 2026 in San Francisco.

The partnership targets joint research on nanophotonic components and the physical building blocks needed for scalable optical AI processing. Its stated goal is a defensible roadmap for optical AI hardware that goes beyond incremental GPU scaling. Specifically, the two teams will identify and prioritize optical operations and device technologies for Q/C's OPU architecture and tackle the hard problems that have long held analog and optical computing back: nonlinear operations, memory, precision, optical loss, and integration with electronic systems.

Sandia brings heavyweight credentials to the effort. The laboratory, operated for the U.S. Department of Energy's National Nuclear Security Administration, employs roughly 17,000 people and runs an annual budget of approximately $5 billion. Its capabilities span microelectronics, photonics, advanced materials, high-performance computing, and systems engineering — a portfolio that maps closely onto the engineering stack an OPU would require.

"Access to CINT's scientific expertise and advanced research capabilities in photonics and nanoscale technologies represents an important step as we develop our proprietary optical computing platform," said Joshua Silverman, Executive Chairman of Q/C Technologies. "As AI infrastructure faces increasing constraints in power consumption, bandwidth and scalability, we believe optical computing has the potential to fundamentally change how computationally intensive AI workloads are processed. This collaboration will help us evaluate key architectural concepts as we continue building the foundation for our next-generation optical computing solution."

CTO Yossele Ehrlichman, Ph.D., framed the work as a bridge between physics and product. "This collaboration provides an opportunity to accelerate our work toward a practical, scalable optical computing architecture," he said. "We believe this work with CINT will help us define the pathway from fundamental optical capabilities to an integrated OPU architecture."

The deal follows another concrete step in Q/C's buildout. The company recently established a 4,800-square-foot integrated photonics laboratory in San Francisco and says it continues to accumulate engineering expertise across AI, photonics, and computing to support OPU development.

The commercial framing is ambitious. Q/C Technologies claims its optical processing units could deliver orders-of-magnitude improvements in clock speed and bandwidth, along with vastly better energy efficiency, compared with traditional electronic architectures. Those are targets, not silicon. No product timeline, wafer-scale prototype, or performance data has been disclosed, and the company has not said when it expects a first OPU demonstrator.

What the collaboration does establish is access to one of the U.S. government's deepest nanophotonics research facilities at a moment when AI inference demand is straining the power and bandwidth limits of conventional GPUs. If the CINT work resolves questions around optical nonlinearity and memory integration, Q/C will have a technical basis for an architecture it claims can leap past electronic scaling — but the company must first prove those fundamentals translate into a manufacturable, integrated OPU.