We show how Genetic Programming (GP) can be used to evolve useful quantum computing artefacts of increasing sophistication and usefulness: firstly specific quantum circuits, then quantum programs, and finally system-independent quantum algorithms. We conclude the paper by presenting a human-competitive Quantum Fourier Transform (QFT) algorithm evolved by GP
Evolutionary systems (ES) include software applications that solve problems using heuristic methods ...
In this paper, a generalization of the original Quantum-Inspired Evolutionary Algorithm (QIEA): the ...
Abstract — Biological evolution provides an immensely powerful toolset for problem solving, while ev...
Abstract: In this paper we focus on a general approach of using genetic algorithm (GA) to evolve Qua...
Abstract—Due to the non- intuitive nature of Quantum algorithms, it becomes difficult for a classica...
Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural select...
This paper presents a new representation and corresponding set of genetic operators for a scheme to ...
Quantum Computing represents the next big step towards speed boost in computation, which promises ma...
In this article we encompass the first comprehensive work in the process of translating modern optim...
Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural select...
Typical approaches to designing quantum genetic algorithms are based on a concept of a qubit, a two-...
The development in the field of quantum computing gives us a significant edge over classical computi...
We propose a method to apply genetic algo-rithms to the quantum circuit design. We show by experimen...
Quantum programs are difficult for humans to develop due to their complex semantics that are rooted...
Recent development in quantum technology have shown that quan-tum computer can provide a dramatic ad...
Evolutionary systems (ES) include software applications that solve problems using heuristic methods ...
In this paper, a generalization of the original Quantum-Inspired Evolutionary Algorithm (QIEA): the ...
Abstract — Biological evolution provides an immensely powerful toolset for problem solving, while ev...
Abstract: In this paper we focus on a general approach of using genetic algorithm (GA) to evolve Qua...
Abstract—Due to the non- intuitive nature of Quantum algorithms, it becomes difficult for a classica...
Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural select...
This paper presents a new representation and corresponding set of genetic operators for a scheme to ...
Quantum Computing represents the next big step towards speed boost in computation, which promises ma...
In this article we encompass the first comprehensive work in the process of translating modern optim...
Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural select...
Typical approaches to designing quantum genetic algorithms are based on a concept of a qubit, a two-...
The development in the field of quantum computing gives us a significant edge over classical computi...
We propose a method to apply genetic algo-rithms to the quantum circuit design. We show by experimen...
Quantum programs are difficult for humans to develop due to their complex semantics that are rooted...
Recent development in quantum technology have shown that quan-tum computer can provide a dramatic ad...
Evolutionary systems (ES) include software applications that solve problems using heuristic methods ...
In this paper, a generalization of the original Quantum-Inspired Evolutionary Algorithm (QIEA): the ...
Abstract — Biological evolution provides an immensely powerful toolset for problem solving, while ev...
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