Photonic Quantum Processor LumiCore Launches: Achieving 128-Qubit Equivalent Computing at Room Temperature

Photonic Quantum Processor LumiCore Launches: Achieving 128-Qubit Equivalent Computing at Room Temperature

November 29, 2030, Helsinki — Finnish quantum computing company Quansight today released the LumiCore photonic quantum processor. Unlike mainstream superconducting qubit approaches, LumiCore uses photons (quantum states of light) as information carriers, with its greatest advantage being the elimination of near-absolute-zero cooling requirements—it operates at room temperature.

Quansight CEO Mikko Virtanen stated at the launch event that LumiCore's performance on specific computational tasks is equivalent to 128 superconducting qubits. "We are not doing universal quantum computing," Virtanen clarified. "LumiCore is designed specifically for combinatorial optimization and quantum machine learning tasks, where it has already surpassed the most advanced classical supercomputers."

Technical Approach

The core challenge of photonic quantum computing lies in the extremely weak interaction between photons, making two-qubit gate operations difficult. Quansight adopted an alternative approach called "continuous variable quantum computing" (CVQC)—encoding the amplitude and phase of light fields rather than individual photon states. This approach is naturally suited for tasks such as Gaussian boson sampling and quantum neural networks.

The LumiCore chip is manufactured using CMOS-compatible silicon photonics processes, measuring only 15mm by 15mm with power consumption of approximately 200 watts. By comparison, IBM's superconducting quantum processor requires a dilution refrigerator to cool to 15 millikelvin, with the complete system consuming over 25 kilowatts.

First Applications

JPMorgan Chase signed LumiCore's first commercial contract for portfolio optimization. "In our internal benchmarks, LumiCore solved a 1,000-asset portfolio optimization problem in under 3 seconds, compared to 47 minutes for our existing classical algorithms," said Marco Pistoia, JPMorgan's head of quantum computing.

Drug discovery company Recursion Pharmaceuticals is also evaluating LumiCore for molecular docking simulations. Recursion CTO Blake Borgeson stated: "The room-temperature operation of the photonic approach means we can place it in an ordinary data center without needing a specialized cryogenic laboratory."

Industry Impact

LumiCore's launch could reshape the quantum computing landscape. The field is currently dominated by IBM, Google, and IonQ, whose approaches all require extreme cryogenic temperatures or high vacuum environments. Quansight's photonic approach demonstrates that room-temperature quantum computing already has practical value for specific applications.

However, skepticism exists. Google Quantum AI lab head Hartmut Neven pointed out that the error correction theory for continuous variable quantum computing is still immature, and the "noise" ratio in the 128 equivalent qubits may be significantly higher than in superconducting approaches. "Equivalent qubit count is not a good metric for measuring computational capability," Neven said.

LumiCore is priced at 4.5 million euros per unit, with the first 10 units expected to be delivered in Q2 2031. Quansight plans to increase the equivalent qubit count to 512 by end of 2031.