ORCA Computing Integrates Quantum Processors With $1 Trillion Industry

ORCA Computing is integrating its photonic quantum processors with a novel artificial intelligence platform developed by SiC Systems, with the goal of improving efficiency in the $1 trillion Engineering, Procurement, and Construction industry over the next decade. The collaboration marks the first integration of quantum computing into industrial agentic AI systems designed for real-world process design and operation, potentially accelerating and refining complex chemical and biomanufacturing processes. SiC Systems’ platform utilizes what it terms “agentic ‘hives’,” model-based, autonomous AI workflows that enhance modeling, optimization, and continuous operation of industrial systems. “When combined with SiC Suite’s multi-agent AI, ORCA’s hybrid quantum–classical approach enables a different way to model and optimize complex chemical and biological systems,” said Per Nyberg, Chief Commercial Officer at ORCA Computing.

ORCA & SiC Systems Hybrid Quantum-Classical Computing Partnership

The combination of quantum computing and artificial intelligence could reshape industrial design and operation, as demonstrated by a new partnership between ORCA Computing and SiC Systems. Traditional EPC projects are often slowed by extensive modeling and simulation loops, but this partnership aims to accelerate those timelines and enhance responsiveness during live operations. This hybrid quantum, classical high-performance computing framework leverages the strengths of both technologies to improve the modeling, optimization, and continuous operation of complex systems. SiC Systems has already demonstrated significant time savings in plant design, with their platform capable of reducing engineering time by over 20,000 hours in a typical project. Dr.

SiC Suite Delivers 20,000-Hour Savings in Plant Design Projects

The projected $1 trillion scale of the Engineering, Procurement, and Construction industry may see disruption through the integration of quantum computing and advanced artificial intelligence; a collaboration between SiC Systems and ORCA Computing aims to alter how complex plants are designed and operated. Traditional EPC projects are characterized by iterative modeling and simulations, processes that can extend project timelines and hinder adaptability during live operations, but this partnership offers a way to accelerate these workflows. ORCA Computing’s photonic quantum processors are being integrated with SiC Systems’ SiC Suite, enhancing modeling, optimization, and continuous operation within global manufacturing environments. This impact is already demonstrable; in typical new chemical or biological plant design projects, SiC Suite has demonstrated the capability to save over 20,000 hours of engineering time. These savings stem from automating repetitive tasks, improving physics-informed simulations, and facilitating intelligent agent-driven decision-making, ultimately reducing design cycles and improving process robustness. Dr.

This collaboration shows how optimization can become both autonomous and explainable. By integrating quantum-accelerated computing with our agentic AI platform, we are empowering engineering teams to accelerate the design of new chemical and biological plants- adding to already proven savings of over 20,000 hours in a typical project while delivering higher accuracy and resilience.

Dr. Christopher Savoie, Co-Founder and CEO of SiC Systems
Ivy Delaney

Ivy Delaney

We've seen the rise of AI over the last few short years with the rise of the LLM and companies such as Open AI with its ChatGPT service. Ivy has been working with Neural Networks, Machine Learning and AI since the mid nineties and talk about the latest exciting developments in the field.

Latest Posts by Ivy Delaney: