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Results signal important advances in the commercialization of Quantum Chemistry applications 

Cambridge Quantum Computing (“CQC”) is pleased to announce that following extensive experimentation and joint collaboration with JSR Corporation (“JSR”), in a project that commenced in Q3 2017, they have successfully implemented state-of-the-art quantum algorithms to calculate the excited states of molecules that take into account multi-reference characteristics.

Quantum chemistry is seen as the first real-world application of quantum computing, where new computational methods can achieve results in the design and discovery of new materials that has not, until now, been possible. Successfully implementing quantum algorithms that account for multi-reference states represents, for the first time, a new advance in building a solid foundation for the simulation of more complex quantum chemistry applications, and move from merely experimental and theoretical use cases for quantum computing to actual real-world applications that have the potential to affect society in fundamental and profound ways. This quantum application therefore means that chemical and pharmaceutical companies and anyone who is interested in new material discovery now has a practical way to work with quantum computers that is not merely theoretical in scope.

CQC and JSR are part of the IBM Q Network, and further advanced work will continue with the implementation of CQC’s quantum chemistry application on the state of-the-art quantum processor that IBM has developed. The quantum algorithms required for these tests are being designed to be seamlessly compatible with the Qiskit open-source quantum computing framework and have benefitted in their development by experiments that were implemented and tested on IBM’s 16 qubit quantum computer in the IBM Q Experience. This compatibility has been made possible due to the partnership between CQC and JSR with scientists from IBM, and is being implemented using a quantum compiler that is part of t|ket> (CQC’s proprietary and platform agnostic software stack and user interface).