We propose a quantum curiosity algorithm as a means to implement quantum thinking into AI, and we illustrate 5 new quantum curiosity types. We then introduce 6 new hybrid quantum curiosity types combining animal and plant curiosity elements with biomimicry beyond human sensing. We then introduce 4 specialized quantum curiosity types, which incorporate quantum thinking into coding frameworks to radically transform problem-solving and discovery in science, medicine, and systems analysis. We conclude with a forecasting of the future of quantum thinking in AI and illustrate an example of how to apply the new curiosity types: General Collaborative Networks
Artificial intelligence (AI) is a potentially disruptive tool for physics and science in general. On...
With the rapid progress in computation, our ability to deal with mega data is enhanced dramatically....
The simulation of quantum matter with classical hardware plays a central role in the discovery and d...
We propose a quantum curiosity algorithm as a means to implement quantum thinking into AI, and we il...
We propose Qurio, which is our new model of pedagogy incorporating the principles of quantum mechani...
Despite the great promises and potential of quantum computing, the full range of possibilities and p...
In recent years the dramatic progress in machine learning has begun to impact many areas of science ...
1. To device a mathematical method that can generate quantum numbers showing a complete model of a q...
In 1994 the discovery by Peter Shor of an algorithm for factoring large numbers in polynomial time u...
The design of new devices and experiments has historically relied on the intuition of human experts....
In this research, we present a categorical framework to connect research on creativity and cognitio...
In recent years, researchers are investing more and more resources in understanding to what extent q...
We present the first experimental realization of a quantum artificial life algorithm in a quantum co...
On specific types of machine learning tasks, quantum computers have a remarkable benefit over standa...
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technolog...
Artificial intelligence (AI) is a potentially disruptive tool for physics and science in general. On...
With the rapid progress in computation, our ability to deal with mega data is enhanced dramatically....
The simulation of quantum matter with classical hardware plays a central role in the discovery and d...
We propose a quantum curiosity algorithm as a means to implement quantum thinking into AI, and we il...
We propose Qurio, which is our new model of pedagogy incorporating the principles of quantum mechani...
Despite the great promises and potential of quantum computing, the full range of possibilities and p...
In recent years the dramatic progress in machine learning has begun to impact many areas of science ...
1. To device a mathematical method that can generate quantum numbers showing a complete model of a q...
In 1994 the discovery by Peter Shor of an algorithm for factoring large numbers in polynomial time u...
The design of new devices and experiments has historically relied on the intuition of human experts....
In this research, we present a categorical framework to connect research on creativity and cognitio...
In recent years, researchers are investing more and more resources in understanding to what extent q...
We present the first experimental realization of a quantum artificial life algorithm in a quantum co...
On specific types of machine learning tasks, quantum computers have a remarkable benefit over standa...
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technolog...
Artificial intelligence (AI) is a potentially disruptive tool for physics and science in general. On...
With the rapid progress in computation, our ability to deal with mega data is enhanced dramatically....
The simulation of quantum matter with classical hardware plays a central role in the discovery and d...