Quantum computing technology could have notable advantages over classical computing technology, including a faster speed and the ability to tackle more complex problems. In recent years, some researchers have also been exploring the possible establishment of a “quantum internet,” a network that would allow quantum devices to exchange information, just like classical computing devices exchange information today.
The two-qubit gate can be reached in 6.9 nanoseconds.
* A research group succeeded in executing the world’s fastest two-qubit gate. * Quantum computers and optical tweezers were used to conduct the research. * It is used an ultrafast laser to manipulate cold atoms.
The world’s fastest two-qubit gate has been executed in 6.5 nanoseconds by a group of researchers at the National Institutes of Natural Sciences. A research group led by graduate student Yeelai Chew, Assistant Professor Sylvain de Léséleuc, and Professor Kenji Ohmori used atoms cooled to almost absolute zero and trapped in optical tweezers separated by a micron. By manipulating the atoms with special laser light for 10 picoseconds, they executed the world’s fastest two-qubit gate.
Researchers may have solved Professor Stephen Hawking’s famous black hole paradox—a mystery that has puzzled scientists for almost half a century.
According to two new studies, something called “quantum hair” is the answer to the problem.
In the first paper, published in the journal Physical Review Letters, researchers demonstrated that black holes are more complex than originally thought and have gravitational fields that hold information about how they were formed.
Circa 2022
We report on two extensions of the traditional analysis of low-dimensional structures in terms of low-dimensional quantum mechanics. On one hand, we discuss the impact of thermodynamics in one or two dimensions on the behavior of fermions in low-dimensional systems. On the other hand, we use both quantum wells and interfaces with different effective electron or hole mass to study the question when charge carriers in interfaces or layers exhibit two-dimensional or three-dimensional behavior.
Circa 2012 o.o!!!
We report on two extensions of the traditional analysis of low-dimensional structures in terms of low-dimensional quantum mechanics. On one hand, we discuss the impact of thermodynamics in one or two dimensions on the behavior of fermions in low-dimensional systems. On the other hand, we use both quantum wells and interfaces with different effective electron or hole mass to study the question when charge carriers in interfaces or layers exhibit two-dimensional or three-dimensional behavior.
As published in Nature Materials (“Nuclear spin polarization and control in hexagonal boron nitride”), the research team used electron spin qubits as atomic-scale sensors, and also to effect the first experimental control of nuclear spin qubits in ultrathin hexagonal boron nitride.
Researchers used light and electron spin qubits to control nuclear spin in a 2D material, opening a new frontier in quantum science and technology. (Image: Secondbay Studio)
For AI — reading and writing to memory is the biggest energy and time sink by far. A couple of new solution approaches here:
In this video I talk about NEW Technology which will enable the Next BIG Leap in Computing.
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An international collaboration of scientists has created and observed an entirely new class of vortices—the whirling masses of fluid or air.
Led by researchers from Amherst College in the U.S. and the University of East Anglia and Lancaster University in the U.K., their new paper details the first laboratory studies of these “exotic” whirlpools in an ultracold gas of atoms at temperatures as low as tens of billionths of a degree above absolute zero.
The discovery, announced this week in the journal Nature Communications, may have exciting future implications for implementations of quantum information and computing.
A team based at Princeton University has accurately simulated the initial steps of ice formation by applying artificial intelligence (AI) to solving equations that govern the quantum behavior of individual atoms and molecules.
The resulting simulation describes how water molecules transition into solid ice with quantum accuracy. This level of accuracy, once thought unreachable due to the amount of computing power it would require, became possible when the researchers incorporated deep neural networks, a form of artificial intelligence, into their methods. The study was published in the journal Proceedings of the National Academy of Sciences.
“In a sense, this is like a dream come true,” said Roberto Car, Princeton’s Ralph W. *31 Dornte Professor in Chemistry, who co-pioneered the approach of simulating molecular behaviors based on the underlying quantum laws more than 35 years ago. “Our hope then was that eventually we would be able to study systems like this one, but it was not possible without further conceptual development, and that development came via a completely different field, that of artificial intelligence and data science.”
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