Quantum Computing for Modeling of Molecules and Materials

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Dr. Thomas E. Baker's research proposal for the Canada Research Chair in quantum computing for modeling of molecules and materials at the University of Victoria is a comprehensive theoretical physics program. The focus of this research program is on all aspects necessary to bring a quantum computer to a full realization and to use it in the most efficient way possible.Dr. Baker's experience spans all necessary theoretical aspects of developing a quantum computer. Dr. Baker will use a custom tensor network library for solving quantum physics problems. These problems will relate to the most fundamental design element of a quantum computer: using quantum materials to manufacture qubits. Since qubits are capable of storing a superposition of states, these are sufficient to make a quantum computer. The next element of the research proposal is to simulate networks of qubits so that large quantum computers can be made. The third aspect of Dr. Baker's research program is to design fault-tolerant quantum error-correction so that quantum computers can avoid corruption due to noise, similar to how classical computers have classical error-correction. This will bring quantum computers out of the era of noisy computation to their complete realization. Dr. Baker's final research focus is on ensuring that efficient quantum algorithms exist to compute molecules and materials.There are several novel aspects of the research program that will fundamentally change how quantum computers are designed and used. Dr. Baker will investigate improved methods of wavefunction preparation on the quantum computer using methods that can not be performed on the classical computer. Another area where this proposal will contribute is to simulation methods for qubits and the materials used to make them.The combination of these elements will make for a diverse and impactful atmosphere where ideas from one area can be used to aid other aspects of quantum computation. The interdisciplinary sharing of knowledge during this project will bring quantum computing to full fruition by including the best ideas and theories available. Algorithmic improvements on the quantum computer and improved designs for components of the quantum computer will ensure that results can be found for pressing problems including some of the anticipated outcomes from improved computing: new medicines, climate modeling, green energy, battery technologies, and more.