Luv it; and this is only the beginning too.
In the continued effort to make a viable quantum computer, scientists assert that they have made the first scalable quantum simulation of a molecule.
Quantum computing, if it is ever realized, will revolutionize computing as we know it, bringing us great leaps forward in relation to many of today’s computing standards. However, such computers have yet to be fabricated, as they represent monumental engineering challenges (though we have made much progress in the past ten years).
Case in point, scientists now assert that, for the first time ever, using this technology, they have made a scalable quantum simulation of a molecule. The paper appears in the open access journal Physical Review X.
This is a true question especially since China launches their new Quantum Satellite communications in the next few weeks. I do believe some will be protected; however, the broader majority will be a stretch.
The encryption of today will be broken by the computers of tomorrow, even retroactively.
Yale University scientists have reached a milestone in their efforts to extend the durability and dependability of quantum information.
For the first time, researchers at Yale have crossed the “break even” point in preserving a bit of quantum information for longer than the lifetime of its constituent parts. They have created a novel system to encode, spot errors, decode, and correct errors in a quantum bit, also known as a “qubit.” The development of such a robust method of Quantum Error Correction (QEC) has been one of the biggest remaining hurdles in quantum computation.
The findings were published online July 20 in the journal Nature.
Researchers have demonstrated how to control the “electron spin” of a nanodiamond while it is levitated with lasers in a vacuum, an advance that could find applications in quantum information processing, sensors and studies into the fundamental physics of quantum mechanics.
Electrons can be thought of as having two distinct spin states, “up” or “down.” The researchers were able to detect and control the electron spin resonance, or its change from one state to the other.
“We’ve shown how to continuously flip the electron spin in a nanodiamond levitated in a vacuum and in the presence of different gases,” said Tongcang Li, an assistant professor of physics and astronomy and electrical and computer engineering at Purdue University.
I’m telling folks there is much to be learn in the usage of natural and synthetic resources especially around diamonds — Nanodiamonds Magic.
WEST LAFAYETTE, Ind. — Researchers have demonstrated how to control the “electron spin” of a nanodiamond while it is levitated with lasers in a vacuum, an advance that could find applications in quantum information processing, sensors and studies into the fundamental physics of quantum mechanics.
Electrons can be thought of as having two distinct spin states, “up” or “down.” The researchers were able to detect and control the electron spin resonance, or its change from one state to the other.
“We’ve shown how to continuously flip the electron spin in a nanodiamond levitated in a vacuum and in the presence of different gases,” said Tongcang Li, an assistant professor of physics and astronomy and electrical and computer engineering at Purdue University.
Like this feature on QC.
If you have trouble wrapping your mind around quantum physics, don’t worry — it’s even hard for supercomputers. The solution, according to researchers from Google, Harvard, Lawrence Berkeley National Laboratories and others? Why, use a quantum computer, of course. The team accurately predicted chemical reaction rates using a supercooled quantum circuit, a result that could lead to improved solar cells, batteries, flexible electronics and much more.
Chemical reactions are inherently quantum themselves — the team actually used a quote from Richard Feynman saying “nature isn’t classical, dammit.” The problem is that “molecular systems form highly entangled quantum superposition states, which require many classical computing resources in order to represent sufficiently high precision,” according to the Google Research blog. Computing the lowest energy state for propane, a relatively simple molecule, takes around ten days, for instance. That figure is required in order to get the reaction rate.
That’s where the “Xmon” supercooled qubit quantum computing circuit (shown above) comes in. The device, known as a “variational quantum eigensolver (VQE)” is the quantum equivalent of a classic neural network. The difference is that you train a classical neural circuit (like Google’s DeepMind AI) to model classical data, and train the VQE to model quantum data. “The quantum advantage of VQE is that quantum bits can efficiently represent the molecular wave function, whereas exponentially many classical bits would be required.”
