We propose an efficient method for simultaneously optimizing both the structureand parameter values of quantum circuits with only a small computational overhead.Shallow circuits that use structure optimization perform significantly better than cir-cuits that use parameter updates alone, making this method particularly suitable fornoisy intermediate-scale quantum computers. We demonstrate the method for optimiz-ing a variational quantum eigensolver for finding the ground states of Lithium Hydrideand the Heisenberg model in simulation, and for finding the ground state of Hydrogengas on the IBM Melbourne quantum computer.
BT - Quantum DA - 01/2021 DO - https://doi.org/10.22331/q-2021-01-28-391 LA - eng N2 -We propose an efficient method for simultaneously optimizing both the structureand parameter values of quantum circuits with only a small computational overhead.Shallow circuits that use structure optimization perform significantly better than cir-cuits that use parameter updates alone, making this method particularly suitable fornoisy intermediate-scale quantum computers. We demonstrate the method for optimiz-ing a variational quantum eigensolver for finding the ground states of Lithium Hydrideand the Heisenberg model in simulation, and for finding the ground state of Hydrogengas on the IBM Melbourne quantum computer.
PY - 2021 SE - 391 T2 - Quantum TI - Structure optimization for parameterized quantum circuits UR - https://quantum-journal.org/papers/q-2021-01-28-391/ VL - 5 ER -