SEEQC, a digital quantum computing company, collaborates with NVIDIA to create the world’s first fully digital chip-based quantum-to-GPU integration. This will enable error-corrected quantum supercomputing, combining classical and quantum computing. The integration will support applications such as quantum artificial intelligence and machine learning. The technology will remove several analogue steps in quantum processing, reducing bandwidth needs and latency bottlenecks. John Levy, CEO of SEEQC, and Tim Costa, Director at NVIDIA, highlighted the potential of this integration for quantum computing. The collaboration is a significant step in SEEQC’s technology roadmap, powered by its proprietary Single Flux Quantum technology.
“We are connecting quantum and classical computing in a highly efficient way, taking advantage of a tight integration of both technologies to power systems that will run the most important quantum and classical applications,”
Matthew Hutchings, CPO and co-founder of SEEQC.
SEEQC and NVIDIA Collaborate on Quantum Supercomputing
SEEQC, a digital quantum computing company, has announced a collaboration with NVIDIA to develop the world’s first fully digital chip-based quantum-to-GPU integration. This partnership aims to enable error-corrected quantum supercomputing, bringing quantum computing closer to data centre scale with infrastructure for quantum AI. Integrating SEEQC’s chip architecture with NVIDIA GPUs will create a chip-based quantum-to-GPU computing solution compatible with all quantum computing technologies.
The collaboration will result in the first all-digital, ultra-low-latency chip-to-chip link between quantum computers and GPUs, compatible with any quantum computing system. This will be the first time an active multi-chip module quantum processor will be directly linked with both a GPU- and a CPU-operational platform. This integration will remove several analogue steps and expensive, bulky and noise-contributing hardware overheads in quantum processing, severely cutting down the bandwidth needed, decreasing latency bottlenecks and unlocking scalable enterprise applications in the future.
SEEQC is the only company in the world creating a fully digital chip-based quantum computing technology that spans all quantum technologies. By adopting the NVIDIA platform, SEEQC will bring a new level of high-speed, low-noise, low-latency quantum computing to enable functional quantum computing at scale.
Integration of Classical and Quantum Computing for AI Demand
The integration of classical and quantum computing will support research and applications in practical, real-world implementations such as quantum artificial intelligence (AI), quantum machine learning (ML) and other datacenter-scale applications to meet the increasing needs of compute- and data-intensive enterprise AI. This all-digital integration will take advantage of each system for a low-latency interface while maintaining the highest possible bandwidth performance from each individual system.
The integration of quantum and GPUs will advance the NVIDIA CUDA Quantum platform for hybrid quantum-classical computing. This collaboration is a significant milestone in SEEQC’s technology roadmap. With GPU acceleration and a software platform that is unique to each industry, SEEQC will now be able to develop a full-stack quantum computing architecture that can enable hybrid quantum AI and ML programs, as well as scalable real-time error correction — all powered by SEEQC’s proprietary Single Flux Quantum (SFQ) technology.
Quantum System Compatibility
The collaboration between SEEQC and NVIDIA will provide a major step towards useful quantum computing. Coupling the NVIDIA GH200 Grace Hopper Superchip with SEEQC’s digital chip architecture — tied together by the CUDA Quantum programming model — will provide a major step toward that goal. This collaboration is paving the way for the enterprise-grade quantum computing era. Low latency is the key to scalable applications and error correction, unlocking 90% of quantum computing use cases in value.
Scalable, Heterogeneous Quantum Computing
The ultra-low-latency, digital chip-to-chip integration of a fully chip-based quantum processor to the Grace Hopper Superchip will deliver a powerful, scalable, heterogeneous computer platform. This allows SEEQC to use NVIDIA’s digital architecture seamlessly with its own, advancing its operations and processing algorithms capabilities. This collaboration creates not just the possibility for scalable, real-time error correction in the near-term but also future quantum applications, many of which are unimaginable today.
SEEQC designs and manufactures superconducting digital chips, firmware and software for scalable, energy-efficient quantum computing systems based on its proprietary Single Flux Quantum (SFQ) chips produced at the company’s multi-layer superconductive electronics chip foundry located in Elmsford, NY. This chip-based architecture is designed to increase performance while reducing quantum requirements, complexity, cost and latency. SEEQC’s chip-based solution is augmented by the company’s firmware and software that supports a full spectrum of applications for third-party developers. SEEQC integrates its chip-based solution with GPU and CPU data centres and offers its solution to all quantum computing systems developers, including all quantum modalities.
“This all-digital integration will take advantage of each system for a low-latency interface while maintaining the highest possible bandwidth performance from each individual system,” said John Levy, CEO and co-founder of SEEQC. “The development we’re taking on with NVIDIA represents the best of breed in both quantum and classical; and, together, both core technologies create unprecedented compute power.”
“Tight integration of quantum with GPU supercomputing is essential for progress toward useful quantum computing,” said Tim Costa, Director, HPC and Quantum Computing Product at NVIDIA. “Coupling the NVIDIA GH200 Grace Hopper Superchip with SEEQC’s digital chip architecture — tied together by the CUDA Quantum programming model — will provide a major step toward that goal.”
“With this collaboration, SEEQC and NVIDIA are paving the way for the enterprise-grade quantum computing era,” said Jean-François Bobier, Quantum Computing research lead for Boston Consulting Group (BCG). “A one-hour computation with high speed and low latency turns into 40 days on slower quantum architectures. Therefore, low latency is the key to scalable applications and error correction, which will unlock 90% of quantum computing use cases in value.”
“Scalable Energy-Efficient Quantum Computing is what SEEQC stands for; it’s a well-known company to quantum experts. It will be the first to bring a ubiquitous, enterprise-grade quantum computing solution to market: a chip-based, full-stack QPU with high error correction potential, available across major quantum computing architectures,” said André M. König, CEO of Global Quantum Intelligence.
Quick Summary
SEEQC is collaborating with NVIDIA to develop the world’s first fully digital chip-based quantum-to-GPU integration, aiming to bring quantum computing closer to the datacentre-scale and enable real-time quantum error correction. This integration will support applications in quantum artificial intelligence and machine learning, meeting the increasing needs of compute- and data-intensive enterprise AI.
- SEEQC, a digital quantum computing company, is collaborating with NVIDIA to create the world’s first fully digital chip-based quantum-to-GPU integration.
- This integration will be compatible with all quantum computing technologies and aims to combine classical and quantum computing into Quantum Supercomputing.
- The collaboration will bring quantum computing closer to datacenter-scale, enabling infrastructure for quantum AI and real-time quantum error correction.
- The technology will be the first to directly link an active multi-chip module quantum processor with both a GPU- and a CPU-operational platform.
- This integration will support research and applications in quantum artificial intelligence (AI), quantum machine learning (ML) and other datacenter-scale applications.
- John Levy, CEO and co-founder of SEEQC, and Tim Costa, Director, HPC and Quantum Computing Product at NVIDIA, have expressed their optimism about the collaboration.
- The integration will advance the NVIDIA CUDA Quantum platform for hybrid quantum-classical computing and will be a major milestone in SEEQC’s technology roadmap.
- The collaboration is also supported by Jean-François Bobier, Quantum Computing research lead for Boston Consulting Group (BCG), and André M. König, CEO of Global Quantum Intelligence.
- Matthew Hutchings, CPO and co-founder of SEEQC, emphasised the efficiency of connecting quantum and classical computing in this way.
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