Silicon spin qubit quantum computing with telecom-native networking
Photonic is a quantum hardware company building silicon spin qubits and distributed quantum computing architectures using FPGA, C++, Rust, and physics simulation tools (Lumerical, HFSS, SPICE). Heavy hiring across engineering and nanofabrication—with senior-level dominance and Technical Lead roles opening—indicates scaling toward manufacturing and systems integration. Pain-point data (de-risking technical execution, managing large complex projects, performance optimization of quantum stack) reveals the core challenge: moving from early-stage physics toward production-grade distributed systems.
Notable leadership hires: Technical Lead
Photonic develops fault-tolerant quantum computing hardware based on proven silicon spin qubits, integrated with native telecom networking interfaces. Founded in 2016 and based in Coquitlam, BC, the company is a privately held deep-tech manufacturer focused on quantum circuits for previously intractable computational problems. The stack spans classical control (FPGA, C++, Rust) and specialized physics design (Cadence, Mentor Graphics, Lumerical, HFSS) alongside nanofabrication processes (electron beam lithography, photolithography). Active projects center on distributed hardware–software infrastructure, novel wafer stacks, and R&D gating frameworks.
FPGA, C++, Rust, Python for control systems; Cadence, Mentor Graphics, Lumerical, HFSS, SPICE for physics and circuit design; KLayout and Altium for fabrication; electron beam and photolithography for nanofabrication.
Coquitlam, BC, Canada. The company also hires in the United States and currently operates in the 51–200 employee range.
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Photonic Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.