Classiq Technologies, Deloitte Tohmatsu, and Mitsubishi Chemical Corporation have achieved groundbreaking results in quantum algorithm efficiency, compressing quantum circuits by up to 97%. This collaboration, focused on developing advanced organic electroluminescent (EL) materials, highlights the potential of quantum computing in material science and beyond.
The joint demonstration involved compressing Quantum Approximate Optimization Algorithm (QAOA) circuits by 54% and Quantum Phase Estimation (QPE) circuits by 97%. These results significantly reduce error risks and improve calculation accuracy on quantum systems, addressing key challenges in deploying quantum computing for real-world applications. The methodology utilized Classiq’s advanced quantum modeling language, Qmod, to design and implement more efficient circuits.
This work underscores the potential for quantum computing to accelerate breakthroughs in drug discovery, artificial intelligence, finance, and manufacturing. Mitsubishi Chemical provided real data to test QAOA for EL material development, while Deloitte Tohmatsu contributed project planning and implementation expertise. Advances in quantum error correction also enhance the feasibility of executing complex algorithms on future fault-tolerant quantum computers.
This achievement aligns with the growing adoption of computational methods, such as simulations and AI, in chemical research. Quantum computing’s ability to handle intricate calculations could revolutionize material development, significantly reducing time and costs while driving innovation.
Additional information is available on Classiq’s website.
December 11, 2024
