Quantum Materials Simulation in Nature and Science
This is why I first invested in quantum computing 15 years ago, just a wee bit early. ;)
“This paper represents a breakthrough in the simulation of physical systems which are otherwise essentially impossible”
— 2016 Nobel laureate Dr. Kosterlitz
“The work described in the Nature paper represents a landmark in the field of quantum computation: for the first time, a theoretically predicted state of matter was realized in quantum simulation before being demonstrated in a real magnetic material,” said Dr. Mohammad Amin, chief scientist at D-Wave. "This is a significant step toward reaching the goal of quantum simulation, enabling the study of material properties before making them in the lab, a process that today can be very costly and time consuming."
Published today in Nature, this is the first large-scale quantum simulation of a new state of matter characterized by nontrivial topological properties. This KT phase transition is the subject of the 2016 Nobel Prize in physics and is crucial to understanding the emergence of superconductivity and superfluidity in thin films.
Here is a D-Wave summary of the paper and a short video summary of the simulation work.
Back in 2002, when I first met D-Wave Systems Inc., I had just taken a course on molecular modeling and read David Deutsch's Fabric of Reality: “Any physical experiment can be regarded as a computation, and any computation is a physical experiment.” (p.246) In theory, any physical process could be modeled perfectly by his theoretical quantum computer — "the first technology that allows useful tasks to be performed in collaboration between parallel universes."
"Quantum computers can efficiently render every physically possible quantum environment, even when vast numbers of universes are interacting. Quantum computers can also efficiently solve certain mathematical problems, such as factorization, which are classically intractable, and can implement types of cryptography which are classically impossible. Quantum computation is a qualitatively new way of harnessing nature." (p.221)
“Quantum computers have the potential to solve problems that would take a classical computer longer than the age of the universe.” See Ch 9 (p.194 onward)
Quantum Materials Simulation in Nature and Science
This is why I first invested in quantum computing 15 years ago, just a wee bit early. ;)
“This paper represents a breakthrough in the simulation of physical systems which are otherwise essentially impossible”
— 2016 Nobel laureate Dr. Kosterlitz
“The work described in the Nature paper represents a landmark in the field of quantum computation: for the first time, a theoretically predicted state of matter was realized in quantum simulation before being demonstrated in a real magnetic material,” said Dr. Mohammad Amin, chief scientist at D-Wave. "This is a significant step toward reaching the goal of quantum simulation, enabling the study of material properties before making them in the lab, a process that today can be very costly and time consuming."
Published today in Nature, this is the first large-scale quantum simulation of a new state of matter characterized by nontrivial topological properties. This KT phase transition is the subject of the 2016 Nobel Prize in physics and is crucial to understanding the emergence of superconductivity and superfluidity in thin films.
Here is a D-Wave summary of the paper and a short video summary of the simulation work.
Back in 2002, when I first met D-Wave Systems Inc., I had just taken a course on molecular modeling and read David Deutsch's Fabric of Reality: “Any physical experiment can be regarded as a computation, and any computation is a physical experiment.” (p.246) In theory, any physical process could be modeled perfectly by his theoretical quantum computer — "the first technology that allows useful tasks to be performed in collaboration between parallel universes."
"Quantum computers can efficiently render every physically possible quantum environment, even when vast numbers of universes are interacting. Quantum computers can also efficiently solve certain mathematical problems, such as factorization, which are classically intractable, and can implement types of cryptography which are classically impossible. Quantum computation is a qualitatively new way of harnessing nature." (p.221)
“Quantum computers have the potential to solve problems that would take a classical computer longer than the age of the universe.” See Ch 9 (p.194 onward)