Honda Backs Tokyo Quantum Startup Quemix for Battery Research
Honda Motor has invested in Quemix, a Tokyo firm that develops quantum computing algorithms and software, the two companies announced on August 7, 2026. Their partnership stretches back more than a year and includes a quantum-state-readout method disclosed in May 2025 and a quantum algorithm for a materials-science calculation described in June 2026.
Honda frames the deal as part of its long-term plan for new materials, though neither company provided evidence that quantum computers are already designing Honda batteries or shortening its development timelines.
What Honda is paying for
The companies didn’t disclose financial terms. Honda made the investment through Honda Xcelerator Ventures, its program for backing startups. Quemix says the funds will help advance its algorithms toward what it calls the real-world deployment of quantum computing.
Mahito Shikama, a director and executive officer at Honda, linked the investment to the automaker’s target of carbon neutrality by 2050. He said Honda wants to deepen its relationship with Quemix and expects the startup’s technology and business to grow. That’s Honda’s stated rationale; the investment by itself doesn’t reduce emissions or meaningfully move Honda closer to the 2050 goal.
Quemix operates a materials-calculation platform called Quloud and works at the intersection of quantum computing, AI, and materials science. The company is small, and lists between one and ten employees.
The research behind the deal
Two earlier results explain why Honda continued working with Quemix. In May 2025, the partners announced what they described as a world-first technique for quantum state readout, which is a claim made by the companies, not independently verified.
The June 2026 result is the most relevant to materials work. Honda and Quemix say they developed a quantum algorithm that speeds up density functional theory (DFT) calculations on quantum computers. DFT is a standard computational method researchers use to study electron behavior in materials. Those calculations support predictions about material properties, so faster DFT could let scientists screen more candidate materials before running physical experiments.
The companies claim the algorithm achieves an exponential speedup for these calculations. That describes the algorithm itself; it is not a demonstration that current quantum hardware runs materials simulations faster than conventional computers, and no benchmarks or hardware results were provided.
Quemix plans to apply its algorithms to materials development, including next-generation battery materials. For now, that remains a stated plan rather than an established production process. Whether the research moves from experiments into Quemix’s actual materials workflows is the next thing to watch.