SQC builds quantum processors using only silicon and phosphorus atoms placed with atomic precision, delivering qubits with ultra‑low charge noise, 99.99% single‑qubit fidelity and 30 s coherence times. Its commercial products—Watermelon™ for quantum‑enhanced feature generation in classical AI pipelines and Quantum Twins™ for analogue simulation of chemistry and materials—provide immediate quantum advantage, while the upcoming Jalapeño 1 gate‑based processor targets experimental error‑corrected computing.
Funding
$50.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current quantum computing solutions often rely on complex, multi-material architectures that introduce high charge noise, limited coherence times, and slow manufacturing cycles, making it difficult for enterprises to access reliable, high‑fidelity quantum hardware for AI acceleration, materials simulation, and error‑corrected computation.
Solution
SQC delivers quantum processors built from only two atom types—silicon and phosphorus—placed with atomic precision in pure silicon substrates. This materials‑science approach yields qubits with exceptionally low charge noise, high gate fidelities (99.99% single‑qubit, 99.95% two‑qubit), fast operation (0.8 ns gates), and long coherence times (≈30 s), enabling deep quantum algorithms. The company controls the full stack, from atomic‑scale chip fabrication (1–2 week iteration) to integrated hardware, classical control, and software, allowing rapid deployment of both analogue simulators and error‑corrected processors. Commercial products such as Watermelon™ (quantum feature generation for classical machine‑learning pipelines) and Quantum Twins™ (analogue quantum simulators for chemistry and materials) provide immediate quantum advantage, while the upcoming Jalapeño 1 gate‑based processor offers a platform for experimental research and scalable error correction.
Target Audience
Primary customers are enterprise R&D teams, quantum‑enabled AI developers, and materials‑science researchers seeking high‑fidelity quantum hardware for accelerated machine learning, chemistry simulation, and error‑corrected quantum computing experiments.
Features
- Atomic‑scale manufacturing that precision‑places phosphorus atoms in isotopically pure Si‑28, achieving sub‑nanometer placement accuracy (0.13 nm)
- Two‑atom qubit architecture (silicon 14, phosphorus 15) eliminating dielectric interfaces and reducing charge noise
- High‑performance metrics: 99.99% single‑qubit fidelity, 99.95% two‑qubit fidelity, 0.8 ns gate speed, 30 s coherence, 99.5% Bell‑state fidelity
- Full‑stack delivery: custom chip fabrication, integrated cryogenic hardware, classical control electronics, and software APIs
- Watermelon™ quantum‑enhanced AI engine that performs quantum reservoir computing to generate features for classical ML models, available via cloud or on‑premise
- Quantum Twins™ analogue processors that encode target chemical or material Hamiltonians for direct simulation beyond classical capabilities
- Rapid chip iteration (1–2 weeks) and scalable design allowing thousands of qubits per chip, supporting both near‑term applications and long‑term error‑corrected quantum computers