Shenzhen SpinQ Secures 600M Yuan in Series C+ Financing

36Kr Exclusive: Shenzhen Quantum Computing Firm Secures Series C+ Financing, Raises Nearly 1B Yuan in 3 Months, Achieves Large-Scale Profitability - 36Kr 36氪 Shenzhen-based SpinQ recently secured 600 million yuan in Series C+ financing. Combined with a previous round, the firm raised nearly 1 billion yuan in three months to support its full-stack development, spanning from quantum chip design to whole-machine manufacturing and algorithm applications. What does full-stack mean in quantum computing? At the foundation is the qubit. While classical bits store data as strictly 0 or 1, qubits can exist in superposition, representing combinations of 0 and 1 simultaneously. When qubits are linked through entanglement, the computational space grows exponentially, allowing quantum algorithms to process problems differently than classical systems. Building a quantum system requires a stack of technologies. At the hardware layer, SpinQ develops two modalities: Nuclear Magnetic Resonance (NMR) for portable educational systems, and superconducting circuits for industrial machines. Superconducting processors use ultra-cold electrical circuits to process quantum information. Above the physical qubits, a control layer sends precise signals to execute operations known as quantum gates. The application layer then translates complex calculations into these gate sequences. The firm is using its capital to target a 100-qubit superconducting processor and improve quantum error correction protocols to manage the natural fragility of qubit states. What this means: This capital accelerates the production of intermediate-scale superconducting hardware and educational quantum systems. What this does not mean: This does not announce a fault-tolerant, universal quantum computer. The technology remains in a phase where scaling qubit counts and mitigating errors are the primary focus. #QuantumComputing #QuantumTechnology #QuantumScience #Qubits #QuantumHardware #SuperconductingQubits #QuantumErrorCorrection https://lnkd.in/ekNQaPKB

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