Quantum State Optimization and Computational Pathway Evaluation for Gate-Model Quantum Computers.

ABSTRACT: A computational problem fed into a gate-model quantum computer identifies an objective function with a particular computational pathway (objective function connectivity). The solution of the computational problem involves identifying a target objective function value that is the subject to be reached. A bottleneck in a gate-model quantum computer is the requirement of several rounds of quantum state preparations, high-cost run sequences, and multiple rounds of measurements to determine a target (optimal) state of the quantum computer that achieves the target objective function value. Here, we define a method for optimal quantum state determination and computational path evaluation for gate-model quantum computers. We prove a state determination method that finds a target system state for a

SUBMITTER: Gyongyosi L 

PROVIDER: S-EPMC7066182 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature