According to a recent LinkedIn post from Quantum Source, the company is highlighting a new paper that models entanglement generation rates for modular quantum computing using its QS-LINK photonic interconnect. The post emphasizes that the protocol aims to sustain entanglement between separate quantum processors even when photon delivery is infrequent and lossy.
The company’s LinkedIn post explains that conventional two-photon interconnect schemes require simultaneous successful photon detection from both processors, which sharply limits entanglement rates under realistic losses. QS-LINK’s proposed protocol instead uses a single atom as a quantum memory, allowing the two photons to arrive and be detected in separate attempts.
According to the description, this architecture means each photon interacts independently with the atom, eliminating the need for identical photon waveforms or interference between photons. The post suggests this could make it easier to link heterogeneous quantum processing units built on different physical platforms, potentially lowering integration complexity in modular architectures.
The LinkedIn post also notes that the model uses parameters Quantum Source targets for QS-LINK in the near term and still predicts what it describes as useful entanglement rates. It further indicates that the analysis accounts for both photon loss and storage errors, implying that the reported performance is designed to reflect non-ideal real-world conditions rather than purely theoretical limits.
For investors, the post points to Quantum Source’s strategic focus on photonic interconnects as a key enabling technology for scaling quantum computers beyond single-processor limits. If QS-LINK can deliver practical entanglement rates with reduced photon-generation demands per quantum processor, it could position the company as a critical provider of networking infrastructure in emerging modular quantum systems.
The emphasis on compatibility with different quantum hardware types suggests a potential role in cross-platform quantum networking, which may broaden the firm’s addressable market. However, since the underlying results are currently presented as a research paper hosted on arXiv, timelines to commercialization, hardware maturity, and customer adoption remain key uncertainties for assessing near-term revenue impact.