A genetic-algorithm-based method to find unitary transformations for any desired quantum computation and application to a one-bit oracle decision problem

A strategy for quantum algorithm design assisted by machine learning

(2014) Jeongho Bang et al.   NEW JOURNAL OF PHYSICS

Optimized dynamical decoupling via genetic algorithms

(2013) Gregory Quiroz et al.   PHYSICAL REVIEW A

Genetic braid optimization: A heuristic approach to compute quasiparticle braids

(2013) Ross B. McDonald et al.   PHYSICAL REVIEW B

Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

(2013) Rahul Biswas et al.   PHYSICAL REVIEW D

A quantum genetic algorithm with quantum crossover and mutation operations

(2013) Akira SaiToh et al.   Quantum Information Processing

Procedures for realizing an approximate universal-not gate

(2012) Jeongho Bang et al.   PHYSICAL REVIEW A

Singlet-state creation and universal quantum computation in NMR using a genetic algorithm

(2012) V. S. Manu et al.   PHYSICAL REVIEW A

A new evolutionary search strategy for global optimization of high-dimensional problems

(2011) Wei Chu et al.   INFORMATION SCIENCES

Decomposition of unitary matrices for finding quantum circuits: Application to molecular Hamiltonians

(2011) Anmer Daskin et al.   JOURNAL OF CHEMICAL PHYSICS

Optimal quantum learning of a unitary transformation

(2010) Alessandro Bisio et al.   PHYSICAL REVIEW A

Heuristic methods to use don’t cares in automated design of reversible and quantum logic circuits

(2008) Majid Mohammadi et al.   Quantum Information Processing