Silicon Quantum Computing (SQC) has launched Quantum Twins, an application-specific quantum simulator aimed at accelerating molecule and materials discovery. Built using atomic-scale semiconductor manufacturing, the platform is designed to model quantum physics and chemistry in ways that classical computers cannot.
For eeNews Europe readers, the announcement matters because it links advanced semiconductor fabrication with near-term quantum simulation use cases. It also shows how atomic-precision manufacturing is moving beyond lab demos toward commercially relevant tools for materials, electronics and energy research.
Atomic-precision quantum simulation
Quantum Twins are based on large arrays of qubit registers — quantum dots — patterned on pure silicon with 0.13nm, atom-level accuracy. According to SQC, this precision allows the company to create custom chips that physically encode replicas of the physical systems and chemical interactions customers want to study.
The approach effectively turns the chip itself into a model of the target quantum system. By directly encoding interactions such as magnetism, atomic bonding and superconductivity, Quantum Twins enable simulations that are out of reach for even the most powerful classical computers. SQC says this capability opens pathways to new information storage concepts, low-power electronics and broad materials discovery.
The scientific foundation of the platform was published today in Nature, describing a system that includes 15,000 qubit registers. SQC positions this as a world-first demonstration of quantum simulation at this scale using silicon-based qubits.
Manufacturing scale and full-stack control
The launch follows rapid growth in SQC’s manufacturing capabilities. In November 2025, the company demonstrated the ability to pattern 250,000 qubit registers in eight hours, a milestone that helps de-risk yields and volumes required for commercial-scale, fault-tolerant quantum computers. As a full-stack player, SQC says it can design, fabricate and test new quantum chips in under a week using its 14|15 platform.
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.”
Chair 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.”
From benchmarking to availability
SQC recently debuted a multi-qubit, multi-register processor with reported fidelities up to 99.99%, and performance that improves as the system scales. The company has also progressed to Stage B of DARPA’s Quantum Benchmarking Initiative, while its Watermelon quantum machine learning system is already in use across telecommunications and defence. Quantum Twins are now available through direct contracts with SQC.
If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :
eeNews on Google News
