Pages

Showing posts with label hardware. Show all posts
Showing posts with label hardware. Show all posts

Monday, June 13, 2016

Hardware Initiative at Quantum Artificial Intelligence Lab



The Quantum Artificial Intelligence team at Google is launching a hardware initiative to design and build new quantum information processors based on superconducting electronics. We are pleased to announce that John Martinis and his team at UC Santa Barbara will join Google in this initiative. John and his group have made great strides in building superconducting quantum electronic components of very high fidelity. He recently was awarded the London Prize recognizing him for his pioneering advances in quantum control and quantum information processing. With an integrated hardware group the Quantum AI team will now be able to implement and test new designs for quantum optimization and inference processors based on recent theoretical insights as well as our learnings from the D-Wave quantum annealing architecture. We will continue to collaborate with D-Wave scientists and to experiment with the “Vesuvius” machine at NASA Ames which will be upgraded to a 1000 qubit “Washington” processor.
Read More..

Tuesday, March 22, 2016

Simulating fermionic particles with superconducting quantum hardware



Digital quantum simulation is one of the key applications of a future, viable quantum computer. Researchers around the world hope that quantum computing will not only be able to process certain calculations faster than any classical computer, but also help simulate nature more accurately and answer longstanding questions with regard to high temperature superconductivity, complex quantum materials, and applications in quantum chemistry.

A crucial part in describing nature is simulating electrons. Without electrons, you cannot describe metals and their conductivity, or the interatomic bonds which hold molecules together. But simulating systems with many electrons makes for a very tough problem on classical computers, due to some of their peculiar quantum properties.

Electrons are fermionic particles, and as such obey the well-known Pauli exclusion principle which states that no fermions in a system can occupy the same quantum state. This is due to a property called anticommutation, an inherent quantum mechanical behavior of all fermions, that makes it very tricky to fully simulate anything that is composed of complex interactions between electrons. The upshot of this anticommutative property is that if you have identical electrons, one at position A and another at position B, and you swap them, you end up with a different quantum state. If your simulation has many electrons you need to carefully keep track of these changes, while ensuring all the interactions between electrons can be completely, yet separately tunable.

Add to that the memory errors caused by fluctuation or noise from their environment and the fact that quantum physics prevents one from directly monitoring the superconducting quantum bits (“qubits”) of a quantum computer directly to account for those errors, and youve got your hands full. However, earlier this year we reported on some exciting steps towards Quantum Error Correction - as it turns out, the hardware we built isnt only useable for error correction, but can also be used for quantum simulation.

In Digital quantum simulation of fermionic models with a superconducting circuit, published in Nature Communications, we present digital methods that enable the simulation of the complex interactions between fermionic particles, by using single-qubit and two-qubit quantum logic gates as building blocks. And with the recent advances in hardware and control we can now implement them.

We took our qubits and made them act like interacting fermions. We experimentally verified that the simulated particles anticommute, and implemented static and time-varying models. With over 300 logic gates, it is the largest digital quantum simulation to date, and the first implementation in a solid-state device.
Left: Model picture with four fermionic modes in two sites. The modes are occupied or unoccupied. For example, we can start with two fermionic particles in the right well, by occupying the blue and green mode. If the particles repel each other, theres a good chance that one of the them will hop to the left well through the process of quantum tunneling through the barrier. It will then occupy the red or purple mode. This interplay of on-site interaction and hopping lies at the core of describing processes in physics and chemistry, ranging from the conductivity of metals to the binding between atoms in molecules. Right: The false-colored cross-shaped structures are the superconducting quantum bits. The colors correspond to the modes, so if we have two fermionic particles in the blue and red modes, the rightmost two quantum bits are excited.
Coming up with an efficient sequence of logic gates that can accurately model the interactions for systems of fermions wasn’t easy. So we teamed up with Dr. Lucas Lamata, M.Sc. Laura García-Álvarez, and Prof. Enrique Solano from the QUTIS group at the University of the Basque Country (UPV/EHU) in Bilbao, Spain, who are experts in constructing algorithms and translating them into the streams of logic gates we can implement with our hardware.

For the future, digital quantum simulation holds the promise that it can be run on an error-corrected quantum computer. But before that, we foresee the construction of larger testbeds for simulation with improvements in logic gates and architecture. This experiment is a critical step on the path to creating a quantum simulator capable of modeling fermions as well as bosons (particles which can be interchanged, as opposed to fermions), opening up exciting possibilities for simulating physical and chemical processes in nature.
Read More..

Monday, July 21, 2014

Top 4 Laptop Computer Hardware Troubles

By Dean Miller


Computers are the most popular digital means within our technological environment. They are small, collapsable, portable and additionally performing basic and even more functions when compared to desktops. Then again, as every single item, they break, are unsuccessful and breakdown. What are the most common laptop hardware problems that give the prevailing headache to help you users? This can be the list:

The most frequent challenges with lap tops is broken screen hinges with conceivable screen bone fracture. As small children laptop performs two attributes. First, it processes the information, using the hard disk, RAM memory, processor and various units attached to the motherboard. Next, the full information is usually displayed relating to the flat maybe LCD (or other) screen, which is connected with the principal system as a result of hinges, that might also hide all the wires.

Broken netbook DC jack socket. Laptop users could be very happy if ones own computers dont have wires whatsoever. However, it is still a challenge money generations. So far we should instead use DC adapters with wires so because of this are limited making reference to the energy source. If you do not notice that while going for walks and yank it highly, the jack could destroy. If your wire is not really folded near to the jack, the pulling out will not necessarily hurt, except for lost facts, in case you wont use battery. Otherwise - it could be broken.Just check out for your M1200 MODULAR DATA ROUTER .

Spilled liquid on the laptop keyboard is one of the most well-known problems.Dont try to help tilt it, as you may only share the liquid across the motherboard.

Leave it to help you evaporate, you may use some home heating source to help quicken the approach, just dont apply it too close, or several parts might melt. Whether it is juice, tea or coffee by means of sugar - it would be more difficult to refurbish it. Sugar and also other minerals tend not to melt; they stay contained in the laptop or between the keyboard keys. In that will case its possible you have to replace the complete laptop keyboard and up parts. To avoid this kind of trouble : do save your coffee cup far away from your laptop or computer.




About the Author:



Read More..