  In this article, we estimate the cost of simulating electrolyte molecules in
Li-ion batteries on a fault-tolerant quantum computer, focusing on the
molecules that can provide practical solutions to industrially relevant
problems. Our resource estimate is based on the fusion-based quantum computing
scheme using photons, but can be modified easily to the more conventional
gate-based model as well. We find the cost of the magic state factory to
constitute no more than $\sim 2\%$ of the total footprint of the quantum
computer, which suggests that it is more advantageous to use algorithms that
consume many magic states at the same time. We suggest architectural and
algorithmic changes that can accommodate such a capability. On the architecture
side, we propose a method to consume multiple magic states at the same time,
which can potentially lead to an order of magnitude reduction in the overall
computation time without incurring additional expense in the footprint. This is
based on a fault-tolerant measurement of a Pauli product operator in constant
time, which may be useful in other contexts as well. We also introduce a method
to implement an arbitrary fermionic basis change in logarithmic depth, which
may be of independent interest.
