Silicon Quantum Computing (SQC), a leader in quantum computing and quantum machine learning, has unveiled Quantum Twins, an application-specific quantum simulator designed to accelerate molecule and materials discovery.
The breakthrough system leverages SQC’s atomic-scale semiconductor manufacturing process, highlighting the precision and scalability of the company’s full-stack quantum computing platform.
Quantum Twins are built from large arrays of qubit registers—quantum dots—patterned on pure silicon with 0.13 nanometer accuracy. This atomic-level precision allows SQC to create custom chips that physically replicate the chemical interactions and physical systems that customers want to analyze.
“This world-first product provides a pathway to simulation of quantum systems that is impossible for classical computers,” the company said.
Quantum Twins enable detailed analysis of magnetism, atomic interactions, and superconductivity, opening doors to novel information storage, low-power electronics, and broad materials discovery. The scientific foundation of the platform, which includes 15,000 qubit registers, was published today in Nature.
The launch comes after rapid expansion of SQC’s manufacturing capabilities. In November 2025, the company demonstrated the ability to pattern 250,000 qubit registers in just eight hours, significantly de-risking the production of commercial-scale, fault-tolerant quantum computers. As a full-stack developer, SQC can now design, produce, and test new quantum chips in under a week, a major advantage in the race for the world’s first commercial quantum computer.
SQC Founder and CEO Michelle Simmons said: "Quantum Twins represents a window into the quantum world that customers can use for materials discovery today. The enabler is that we can engineer hundreds of thousands of qubit registers with atomic precision. It's an incredible achievement in semiconductor manufacturing with sub-nanometer accuracy.”
SQC Chair and former ARM CEO Simon Segars added: "Expanding our product offering with the launch of Quantum Twins brings SQC's atomic-scale advantage to the global materials and chemistry sectors. Having demonstrated commercial success with our quantum machine learning system, Watermelon, SQC's latest offering is a definitive signal of our world leading manufacturing precision and scalability.”
SQC debuted its multi-qubit, multi-register processor last month, achieving industry-leading fidelities up to 99.99% and performance that improves as the system scales. The company has also advanced to Stage B of DARPA's Quantum Benchmarking Initiative, and its quantum machine learning system, Watermelon, is already making an impact in telecommunications and defense.
