Bored with classical computers? – Quantum AI with OpenFermion13 Aug 2021
Before you will continue reading please watch short introduction:
Currently, there are many supercomputing centers, where we can run complicated simulations. However, there are still problems that are beyond the capabilities of classical computers, which can be addressed by quantum computers.
Quantum chemistry and materials science problems which that are described by the laws of quantum mechanics can be mapped to the quantum computers and projected to qubits.
OpenFermion is the library which can help to perform such calculations on a quantum computer.
Additionally we will use the PySCF package which will help to perform initial structure optimization (if you are interested in PySCF package I have shared the example DFT based band structure calculation of the single layer graphene structure pyscf_graphene.ipynb).
In our example we will investigate [latex]H_2[/latex] molecule for simplicity. We will use the PySCF package to find optimal bond length of the molecule.
from openfermion.chem import MolecularData from openfermionpyscf import run_pyscf geometry = create_molecule(bond_length) basis = 'sto-3g' multiplicity = 1 run_scf = 1 run_mp2 = 1 run_cisd = 0 run_ccsd = 0 run_fci = 1 molecule = MolecularData(geometry, basis, multiplicity) # Run pyscf. molecule = run_pyscf(molecule, run_scf=run_scf, run_mp2=run_mp2, run_cisd=run_cisd, run_ccsd=run_ccsd, run_fci=run_fci)
- Constructing a Basis Change Circuits
- Constructing a Diagonal Coulomb Trotter Step
- Constructing Trotter Steps With Low-Rank Decomposition
Using one of this methods we get optimized quantum circuit. In our case the quantum cirquit for [latex]H_2[/latex] system will be represented by 4 qubits and operations that act on them (moment is collection of operations that act at the same abstract time slice).