Noise Aware Stochastic Optimization

Noise-aware Stochastic Optimization

Noise-Aware Quantum Circuit Simulation with Decision Diagrams

This book provides an easy-to-read introduction to quantum computing, as well the classical simulation of quantum circuits with common types of error effects. The authors showcase the enormous potential that can be unleashed when doing these simulations using decision diagrams–a data-structure common in the design automation community, often used in quantum computing design tasks. The algorithms and methods described can outperform previously proposed solutions in some cases, providing a complementary solution to established approaches. Finally, the necessity of noise-aware classical quantum circuit simulation is demonstrated through a practical use-case: the evaluation of quantum error correcting codes.

Stochastic Optimization

Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in fighting uncertainty with uncertainty. This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields.