Lifeboat Foundation

Try to picture a proton — the tiny, positively charged particle within an atomic nucleus — and you may envision a familiar, textbook diagram: a bundle of billiard balls representing quarks and gluons. From the solid sphere model first proposed by John Dalton in 1,803 to the quantum model put forward by Erwin Schrödinger in 1926, there is a storied timeline of physicists attempting to visualize the invisible.

There’s a key aspect of quantum computing you may not have thought about before. Called ‘quantum non-demolition measurements’, they refer to observing certain quantum states without destroying them in the process.

If we want to put together a functioning quantum computer, not having it break down every second while calculations are made would obviously be helpful. Now, scientists have described a new technique for recording quantum non-demolition measurements that shows a lot of promise.

Continue reading “Scientists Just Measured a Mechanical Quantum System Without Destroying It” »

Slow processing… but good for display devices, interacting with other systems, bio-sensors/health monitoring, etc.

In this video I explain Organic Flexible CPUs and Organic Transistors. What is the-state-of-the-art of Organic Electronics? If this technology can replace Silicon Chips or not?
#CPU #OrganicCPU #FlexibleCPU

Continue reading “Organic Transistors Explained. Printing CPUs at Home. What is Smart Skin” »

New schemes based on Rydberg superatoms placed in optical cavities can be used to manipulate single photons with high efficiency.

The past decade has witnessed swift progress in the development and application of quantum technologies. Many promising directions involve using photons, the smallest energy packets of light, as carriers of quantum information [1]. Photons at optical wavelengths can be quickly transported through optical fibers over long distances and with negligible noise, even at room temperature. Unfortunately, one drawback is that photons do not normally interact with each other, which makes it challenging to manipulate a photon with another photon. Optical photons also couple weakly with other quantum systems, such as superconducting qubits, which makes it hard to interface these platforms with photons.

A new design based on the quantum capacitance of a silicon quantum dot could enable scalable, high-fidelity qubit readout.

The Facility for Rare Isotope Beams opens its doors to experiments that will study the formation of heavy elements in the Universe and provide critical tests of nuclear theories.

A “forever battery” is much smaller and more energy-dense than lithium-ion. They’ll change the world and unlock a trillion-dollar revolution.

In this week’s episode, Aaron and I discuss what could be the “holy grail” of energy: the solid-state — or forever battery. Obviously, lithium-ion cells are the status quo of today. And they power pretty much everything, like your smartphone, laptop and electric vehicle.

Continue reading “Forever Battery: QuantumScape’s Holy Grail of Energy” »

A researcher from Skoltech has filled in the gaps connecting quantum simulators with more traditional quantum computers, discovering a new computationally universal model of quantum computation, the variational model. The paper was published as a Letter in the journal Physical Review A. The work made the Editors’ Suggestion list.

A quantum simulator is built to share properties with a target quantum system we wish to understand. Early quantum simulators were ‘dedicated’—that means they could not be programmed, tuned or adjusted and so could mimic one or very few target systems. Modern quantum simulators enable some control over their settings, offering more possibilities.

In contrast to quantum simulators, the long-promised quantum computer is a fully programmable quantum system. While building a fully programmable quantum processor remains elusive, noisy quantum processors that can execute short quantum programs and offer limited programmability are now available in leading laboratories around the world. These quantum processors are closer to the more established quantum simulators.

A team of researchers and engineers at Canadian company Xanadu Quantum Technologies Inc., working with the National Institute of Standards and Technology in the U.S., has developed a programmable, scalable photonic quantum chip that can execute multiple algorithms. In their paper published in the journal Nature, the group describes how they made their chip, its characteristics and how it can be used. Ulrik Andersen with the Technical University of Denmark has published a News & Views piece in the same journal issue outlining current research on quantum computers and the work by the team in Canada.

Scientists around the world are working to build a truly useful quantum computer that can perform calculations that would take traditional computers millions of years to carry out. To date, most such efforts have been focused on two main architectures—those based on superconducting electrical circuits and those based on trapped-ion technology. Both have their advantages and disadvantages, and both must operate in a supercooled environment, making them difficult to scale up. Receiving less attention is work using a photonics-based approach to building a quantum computer. Such an approach has been seen as less feasible because of the problems inherent in generating quantum states and also of transforming such states on demand. One big advantage photonics-based systems would have over the other two architectures is that they would not have to be chilled—they could work at room temperature.

In this new effort, the group at Xanadu has overcome some of the problems associated with photonics-based systems and created a working programmable photonic quantum chip that can execute multiple algorithms and can also be scaled up. They have named it the X8 photonic quantum processing unit. During operation, the chip is connected to what the team at Xanadu describe as a “squeezed light” source—infrared laser pulses working with microscopic resonators. This is because the new system performs continuous variable quantum computing rather than using single-photon generators.

Foresight Molecular Machines Group.
Program & apply to join: https://foresight.org/molecular-machines/

Joe Lyding.
Silicon-Based Nanotechnology: There’s Still Plenty of Room at the Bottom.
Joe Lyding is a distinguished professor in Electrical and Computer Engineering at the University of Illinios. His career includes constructing the first atomic resolution scanning tunneling microscope, discovering new industrial uses for deuterium, studying quantum size effects down to 2nm lateral graphene dimensions, and much more. His current research is focused on carbon nanoelectronics. Specifically using carbon nanoelectronics based on carbon nanotubes and graphene for future semiconducting device applications.

Continue reading “J. Lyding & L. Grill | Silicon-Based Nanotechnology & Manipulating Single Molecules on Surfaces” »