Socionext Partners with Google Quantum AI for Quantum Computing SoCs

Feb 26, 2025
Socionext has announced a strategic partnership with Google Quantum AI to develop controller SoCs for next-generation quantum computing systems.

Socionext has announced a strategic partnership with Google Quantum AI to develop controller system-on-chips (SoCs) for Google Quantum AI's next-generation quantum computing systems, announced in a press release. This collaboration aims to leverage Socionext's expertise in semiconductor technology to deliver high-precision, high-quality semiconductor products.

Socionext, known for its work in the data centers, AI, and automotive sectors, will focus on creating SoCs that enhance the capabilities of quantum computing systems. The partnership is expected to drive technological innovation in the field of quantum computing, utilizing Socionext's proven design methodologies and implementation expertise.

The partnership highlights Socionext's commitment to advancing semiconductor technology and its role as a key player in the development of cutting-edge solutions for quantum computing applications.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters Enterprise AI AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.