Imagine trying to solve a massive puzzle, but your tools are too clumsy to fit the pieces together. This work creates a smarter set of instructions that allows future quantum computers to solve these puzzles using far fewer resources. It's like finding a shortcut that lets you get the right answer without needing a giant, expensive machine.
Current quantum computers are too noisy and resource-heavy to solve real-world chemical and energy problems. This makes predictive simulations for catalysts and drugs practically impossible for today's hardware.
A suite of hardware-agnostic quantum algorithms and a dedicated quantum resource estimator. It includes an application layer for problem reduction, an optimization layer for gate decomposition, and a hardware-aware implementation layer.
If you are a catalyst producer dealing with the high energy cost of ammonia production—which consumes ~4% of global energy—this project developed algorithms that reduce quantum resources for vibrational simulation by up to 100,000x. This allows for direct computational screening of new catalysts to lower energy use.
If you are a drug discovery firm dealing with molecular simulations that are too complex for current supercomputers, this project developed a suite of hardware-agnostic algorithms. These tools reduce the number of qubits and gates needed, enabling predictive simulations for pharmaceutical discovery years earlier.
If you are a battery developer dealing with the need for higher-accuracy electronic structure calculations, this project developed methods that reduce quantum resources for electronic structure by ~40%. This speeds up the discovery of more efficient battery materials.
Based on available project data, no specific pricing or cost structure for the end-user is mentioned; the project received an EU contribution of EUR 2,499,999 for development.
The software is designed for future fault-tolerant quantum hardware. While it has been validated through simulations and early hardware trials, full industrial scale depends on the availability of first-generation error-corrected devices.
Based on available project data, specific licensing terms are not provided, but the project is coordinated by BEIT SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA, an SME.
The solution is hardware-agnostic and compatible with photonic, superconducting, and trapped-ion platforms, including an implementation layer that accounts for qubit connectivity and native gate sets.
The project aims to enable business problems to be solved several years earlier than previously possible by reducing the resource requirements for quantum hardware.
The project is led by a single Polish SME, BEIT SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA. With a 100% industry ratio and no university or research institute partners, the project is lean and commercially driven, focusing on delivering a practical software suite rather than academic theory.
Contact BEIT SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA in Poland
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