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Funding

SpinQ raises CNY600M Series C+

Follow this funding with source-backed QAtlas analysis, related companies, funding records, research links, and publication context.

Funding
Verified 2026-06-23

SpinQ raised CNY600 million for compact and education-oriented quantum computing systems.

SpinQ Technology is the primary organization attached to this QAtlas event record.

Why it matters: SpinQ's financing is associated with compact and education-oriented quantum systems, linking capital activity to deployment and training use cases outside large research installations.

Related Organizations

1 linked

Related Funding

6 linked

funding -

CQE-led Bloch Quantum Tech Hub raises $55 million to build US quantum supply chain

The Chicago Quantum Exchange-led Bloch Quantum Tech Hub received a reported nearly $55 million package centered on a $30 million U.S. Economic Development Administration award plus state and private-sector contributions for quantum manufacturing and supply-chain development in the Illinois-Wisconsin-Indiana region.

grant - GBP 33 million

Innovate UK opens £33M quantum computing hardware CR&D opportunity

Innovate UK Business Connect's opportunities page lists 'Scaling performance of quantum computing hardware: CR&D', open from 2026-06-27 to 2026-09-18, where UK registered organizations can apply for a share of up to £33 million to develop device-level hardware and associated software for universal fault-tolerant quantum computers.

Series B - 54.2M USD

Qolab Series B financing and commitments

Qolab announced initial Series B preferred stock financing, converted convertible securities, and future convertible-security commitments totaling $54.2 million, led by UC Investments.

Grant - 150K EUR

REALCRYPT ERC Proof of Concept grant

CORDIS lists REALCRYPT as a Horizon Europe ERC Proof of Concept project for protocol-level hybridisation of post-quantum and classical cryptographic protocols, coordinated by Bergische Universitaet Wuppertal with EUR 150,000 in EU contribution.

Series A - 8.3M USD

SpeQtral Series A

SpeQtral raised Series A funding for satellite quantum communications.

Seed - Unknown Unknown

SBQuantum Seed

SBQuantum secured seed funding for diamond quantum magnetometry systems.

Related Research

6 linked

Quantum Computing - arXiv Quant-Ph Recent

Classical versus non-classical photon states for detecting vacuum non-linearity

A 21 August 2026 arXiv preprint compares classical and non-classical photon states for experiments seeking QED vacuum non-linearity, including PVLAS and all-optical four-wave-mixing configurations.

Quantum Computing - arXiv Quant-Ph Recent

Slepian Bounds on the Success Probability of Virtual Distillation

A 21 August 2026 arXiv preprint develops bounds on virtual-distillation success probability, framing the error-mitigation method as a spectral filter and deriving limits from a Slepian concentration operator.

Quantum Computing - arXiv Quant-Ph New

Scalable Quantum Machine Learning: Trainability, Expressivity and Efficiency

An updated 20 August 2026 arXiv preprint presents fermionic quantum-machine-learning circuit architectures intended to balance trainability, expressivity, classical-simulation hardness, and gradient-evaluation cost.

Quantum Computing - arXiv Quant-Ph Recent

Measurement-Feedback Quantum Information Engine: Coherence-Transition Interference and Correlated Work Statistics

A new arXiv theory paper studies how measurement feedback and correlated records shape work statistics in a quantum information engine, including a coherence-transition interference contribution.

Quantum Computing - arXiv Quant-Ph Recent

Current fluctuations in a non-additive open quantum system: breakdown of the quantum-jump approach

A new arXiv paper evaluates quantum-jump descriptions of current fluctuations in non-additive open quantum systems and identifies conditions under which imperfect jump detection recovers Landauer-Büttiker results.

Quantum Computing - arXiv Quant-Ph New

A Quantum Optimization Framework for Data-Assimilation-Augmented Parameter Estimation

A new arXiv paper presents a hybrid workflow that keeps data assimilation and dynamical simulation classical while using a QUBO-to-Ising formulation for quantum-assisted parameter estimation.

Related Topic Pages

6 linked