Classiq Technologies, a leader in quantum computing software, in collaboration with Deloitte Tohmatsu Group and Mitsubishi Chemical Corporation, has embarked on an innovative project to revolutionize materials development in the chemical field using quantum computing. This joint effort specifically targets the development of advanced organic electroluminescent (EL) materials through the optimization of quantum algorithms. A recent demonstration yielded groundbreaking results, showcasing significant compression in quantum circuits, a critical factor for improving the practicality and accuracy of quantum computing in real-world applications.
Achievements in Quantum Circuit Compression
The demonstration conducted by Deloitte Tohmatsu achieved remarkable success in reducing the length of quantum circuits, a process that simplifies algorithm execution and mitigates error risks. One of the quantum algorithms achieved a compression rate of up to 97%, while another saw a 54% reduction. These results are pivotal as they enhance calculation accuracy, particularly in material development applications where high computational precision is necessary. The study suggests that such compression methods are broadly applicable across industries like drug discovery, artificial intelligence, finance, and manufacturing.
Addressing Challenges in Quantum Computing
Quantum computing has the potential to transform research and development by addressing the challenges posed by traditional methods. In fields like chemical material exploration, where extensive data and complex calculations are required, conventional computing often struggles to meet the demand. Quantum computing offers an efficient alternative, and the circuit compression achieved in this collaboration addresses a key limitation: the accumulation of noise during quantum computations. The results of this project are a testament to the advancements in error correction technologies and the feasibility of implementing longer, more complex algorithms in the near future.
Collaborative Efforts and Methodology
Deloitte Tohmatsu oversaw the planning and execution of the project, while Classiq provided technical support using its proprietary platform, which includes tools for quantum algorithm modeling and optimization. Mitsubishi Chemical contributed its extensive data on organic EL materials and insights from prior research efforts. Leveraging Classiq’s high-level quantum modeling language, Qmod, the team designed efficient circuits for Quantum Approximate Optimization Algorithms (QAOA) and Quantum Phase Estimation (QPE), two algorithms critical for material development and future fault-tolerant quantum computing.
The results demonstrated that these optimized circuits not only retained computational accuracy but also significantly reduced resource requirements. For instance, QAOA circuits were compressed by 54%, and QPE circuits by an impressive 97%. Such reductions promise enhanced calculation accuracy and pave the way for discovering promising materials with higher probabilities.
Implications for Material Development
The advancements achieved through this collaboration mark a significant step forward in the use of quantum computing for materials development. The traditional R&D approach in the chemical industry often depends heavily on manual experimentation and researcher expertise. With the integration of materials informatics, machine learning, and AI, quantum computing can further accelerate innovation by performing demanding calculations with unprecedented precision. This, in turn, reduces development timelines and costs while enhancing the scope for new discoveries.
About Classiq Technologies
Classiq is at the forefront of quantum computing software, offering a comprehensive platform that bridges the gap between algorithm design and execution. Its high-level tools and proprietary quantum modeling language streamline the development of scalable quantum circuits, enabling industries to harness the full potential of quantum computing. Classiq’s partnerships with quantum hardware providers and cloud platforms ensure compatibility with a diverse range of computing environments.
In summary, the collaboration between Classiq, Deloitte Tohmatsu, and Mitsubishi Chemical underscores the transformative potential of quantum computing in industries reliant on high-precision calculations. By achieving significant circuit compression, the project not only advances material development but also opens new possibilities for quantum applications across various fields.
