This study session will focus on the following papers:

1. I. Kassal, J. D. Whitfield, A. Perdomo-Ortiz, M.-H. Yung, and A. Aspuru-Guzik, Annu Rev Phys Chem 62, 185 (2011).
2. P. J. J. O'Malley, R. Babbush, I. D. Kivlichan, J. Romero, J. R. McClean, R. Barends, J. Kelly, P. Roushan, A. Tranter, N. Ding, B. Campbell, Y. Chen, Z. Chen, B. Chiaro, A. Dunsworth, A. G. Fowler, E. Jeffrey, E. Lucero, A. Megrant, J. Y. Mutus, M. Neeley, C. Neill, C. Quintana, D. Sank, A. Vainsencher, J. Wenner, T. C. White, P. V. Coveney, P. J. Love, H. Neven, A. Aspuru-Guzik, and J. M. Martinis, Physical Review X 6, 361 (2016).
3. R. Babbush, N. Wiebe, J. McClean, J. McClain, H. Neven, and G. K.-L. Chan, Physical Review X 8, 011044 (2018).
4. I. D. Kivlichan, J. McClean, N. Wiebe, C. Gidney, A. Aspuru-Guzik, G. K.-L. Chan, and R. Babbush, Phys Rev Lett 120, 110501 (2018).

We will go through these papers in great details to learn quantum computation of quantum chemistry.

This course aims to provide a bridge for Chemistry majored students to appreciate recent advances of quantum computing methods for quantum chemistry problems.

Basic understanding of quantum mechanics & quantum chemistry will be needed.

1. Brief Review of Quantum Computation for Quantum Chemistry
2. Building Blocks of Quantum Computing and Quantum Fourier Transform
3. Quantum Simulation and The Phase Estimation Algorithm
4. Physical Realization of Qubits and Quantum Gates
5. Encoding of Fermionic Problem
6. The Unitary Coupled Cluster Ansatz and Variational Quantum Eigensolver
7. Electronic Problem for Crystalline Solids
8. Efficient Quantum Simulation with Linear Scaling(1)
9. Efficient Quantum Simulation with Linear Scaling(2)
10. Efficient Quantum Simulation with Linear Scaling(3)