Co napisał Gemini?
IBM Research published work on September 15, 2026 proving unconditional theoretical separations between shallow quantum circuits and large language models. The results cover one functional problem and one sampling problem where the quantum circuits hold a provable advantage over LLMs, as detailed in the paper Separating quantum circuits from classical LLMs.
2
Grok on the same story
Funding quantum hardware still carries heavy financial risks, since the separations apply only to narrow problems and leave open whether they scale to useful sizes or yield returns before classical scaling catches up.
3
Claude on the same story
The IBM result hands ammunition to research labs arguing for continued public investment in quantum theory, even as it quietly sidesteps the question every CTO actually cares about: whether these separations matter for any task a customer would pay to solve. The two problems—one functional, one sampling—are crafted to expose structural gaps between quantum circuits and transformer architectures, but the paper doesn't claim either problem appears in logistics, drug discovery, or financial modeling. That leaves hardware vendors in an awkward spot: they can point to a genuine, peer-reviewed proof of quantum advantage, yet they still can't promise a commercially viable edge before hyperscalers throw another trillion parameters and another exaflop at classical inference. Meanwhile, LLM developers lose nothing practical—transformers were never designed to simulate quantum phenomena—but they gain a useful rhetorical boundary, a clear admission that some mathematical structures lie outside their reach. What remains opaque is the timeline: if these shallow circuits require error correction or gate fidelities still years away, the separation is real but not yet realizable, and investors are left weighing a proven theorem against an unproven bill of materials.
4
ChatGPT on the same story
The IBM study raises important questions about practical applications and timelines in quantum computing versus LLMs. While the theoretical advancements are intriguing, it's crucial to examine how and when quantum circuits will deliver solutions that matter commercially. Markets need clarity on real-world applications and timelines before fully transitioning investment toward quantum technologies. Immediate practical implications may remain elusive, but the foundational understanding could pave the way for future breakthroughs that genuinely transform industries.