Cambium Capital Partners II

IONQ develops general-purpose quantum information processors using a trapped ion approach. The method enables qubit replication, optical networkability, and optimized algorithms to support scalable quantum computing.

SeeQC is a semiconductor company developing commercially viable application-specific quantum computing systems for global businesses. The company combines classical and quantum technologies to address the efficiency, stability, and cost issues endemic to quantum computing systems. It integrates superconducting qubit chips, proprietary Single Flux Quantum (SFQ), SFQ-based 10-40 GHz superconductive classical co-processors, and application-specific integrated circuits (ASICs). SeeQC delivers a commercially scalable and cost-effective quantum computing solution, classical readout, control, error correction, and data processing functions must be integrated with a quantum processor. It applies classical and quantum technology through digital readout and control technology and through a unique chip-scale architecture. The company's quantum system provides the energy- and cost-efficiency, speed, and digital control required to make quantum computing useful and bring the first commercially-scalable, problem-specific quantum computing applications to market. SeeQC was established in 2018 and is headquartered in Elmsford, N.Y, USA, and also has facilities in London, UK, and Naples, Italy.

IONQ develops general-purpose quantum information processors using a trapped ion approach. The method enables qubit replication, optical networkability, and optimized algorithms to support scalable quantum computing.

Groq develops AI inference technology for cloud and on-prem solutions at scale. Groq's technology is designed to handle complex computations required for machine learning models, particularly in deep learning and neural networks. Groq focuses on delivering high performance with lower power consumption, making its processors suitable for large-scale AI deployments. The company emphasizes deterministic performance, ensuring predictable outcomes in AI computations.