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- 01Choosing the chemical question
- 02Atoms, electrons, and the quantum description
- 03How scientific workflows become software
- 04Specifying the molecule and representation
- 05Building the first electronic solution
- 06Making the classical solution trustworthy
- 07Moving nuclei and interpreting electron distribution
- 08Choosing more useful orbitals
- 09Describing interacting electrons classically
- 10Selecting the active space
- 11Refining and reducing the chemical model
- 12Representing and compressing the Hamiltonian
- 13Learning the quantum computer vocabulary
- 14Translating electrons into qubits
- 15Using symmetry without changing the question
- 16Loading a useful trial state
- 17Turning mathematical operations into circuits
- 18Simulating time evolution
- 19Block encoding and quantum walks
- 20Measuring energies and other quantities
- 21Reading energies through phase estimation
- 22Overlap tests and success amplification
- 23Following systems that change in time
- 24The lattice-model route
- 25Executing circuits and connecting frameworks
- 26Interpreting the scientific output
- 27Counting the complete logical workload
- 28From ideal qubits to error-corrected machines
- 29Physical resource estimation and team contracts
- 30Saving, identifying, and reproducing scientific data
- 31Running work elsewhere and reusing results
- 32Human and agent interfaces
- 33Engineering and maintaining the whole package
- 34A complete scientific and engineering review
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