Google Quantum Computer Chips

Google Starts Developing Its Own Quantum Computer Chips, the Future of Computing. Google is expanding its efforts in quantum computing with a new hardware initiative as part of its Quantum Artificial Intelligence Lab. While Google is looking to research quantum computing using its own hardware, the Quantum AI team will continue to run experiments using D-Wave computers, the world’s first commercially available quantum computers.

Google Quantum Computer Chips for the Future of Computing

The basic elements of quantum computing are easy to identify: quantum bits, quantum registers, quantum gates and quantum networks. The Quantum bits, registers, gates and networks are very different, have other properties and larger power than their classical counterparts.

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Quantum Computer

Quantum Computer is a computation device which uses a quantum-mechanical process which is different from the usually digital computers and working on transistors. Digital computers make use of binary digits for data encoding, but quantum computing uses quantum bits (qubits). Quantum Computing is still in its starting phase. Full-fledged quantum computers will be able to solve problems much faster than classical computers.

Quantum computing is to solve unexpected large and complex computer problems that classical computing could never crack. In today’s machines, data is represented by either a 1 or a 0 bits that are either on or off. If 1 is represented it means on and 0 represent off. In quantum computing, data is theoretically handled by qubits and in qubits as both 1 and 0 are exists at the same time. It would be able to perform the multiple calculations simultaneously. But the qubits need to be synchronized using a quantum effect.

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Google is investing in quantum computing in the first place, the video is too good. It focuses on the D-Wave, but all the general ideas are the same. Google just wants to make sure it’s ready for the future, when classical computers simply might not have enough oomph to handle all of the data and calculations required by advanced AI, self-driving vehicles, robots, and so on.

Google’s Quantum Artificial Intelligence team, contents with sharing a D-Wave kinda quantum computer with NASA, has announced that it will now be designing and building its own quantum computer chips. Google will absorb UC Santa Barbara’s quantum computing group, which recently created a superconducting five-qubit array that shows promise for scaling up to larger, commercial systems. In the superconducting five crosses are the qubits (called Xmons internally), and the squiggly lines are the read out resonators (for checking what value is stored in the qubit). The whole thing is superconducting i.e. kept at cryogenic temperatures, but that isn’t really unusual, given that qubits very rapidly lose coherence at higher temperatures.

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The main purpose of this recent work seems to be reliability. Because of their very nature, hardware that operates at a quantum level is unreliable and prone to errors which then leads to untrustworthy results, and having to run the calculation hundreds of times to make sure you have the right result. The superconducting five-qubit array has a fidelity of over 99%, which is good but to make it commercially viable and also need to push the error rate down to just 1 in 1,000.

Features

  1. Quantum computer is a computation device which is different from digital computer. Digital computer uses the binary digits for data encoding but quantum computing uses quantum bits (qubits).
  2. Quantum computing is to solve unimaginably large and complex computer problems.
  3. Multiple calculations to be performed simultaneously.
  4. Full-fledged quantum computers will be able to solve problems much faster than classical computers.
  5. The elements of quantum computing are easy to identify: quantum bits, quantum registers, quantum gates and quantum networks.

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