Structure optimization for parameterized quantum circuits
Mateusz Ostaszewski, Edward Grant, Marcello Benedetti
Abstract
We propose an efficient method for simultaneously optimizing both the structure and parameter values of quantum circuits with only a small computational overhead. Shallow circuits that use structure optimization perform significantly better than circuits that use parameter updates alone, making this method particularly suitable for noisy intermediate-scale quantum computers. We demonstrate the method for optimizing a variational quantum eigensolver for finding the ground states of Lithium Hydride and the Heisenberg model in simulation, and for finding the ground state of Hydrogen gas on the IBM Melbourne quantum computer.
Topics & Concepts
Parameterized complexityQuantum computerElectronic circuitQuantumQuantum circuitComputer scienceOverhead (engineering)IBMQuantum algorithmComputational scienceAlgorithmQuantum error correctionPhysicsQuantum mechanicsOpticsOperating systemQuantum Computing Algorithms and ArchitectureParallel Computing and Optimization TechniquesQuantum Information and Cryptography