Amazon Declare It created its quantum computing slice, and joining Microsoft and Google In a batch to take this potential transformative technology from theory to the process. Oceelot is a preliminary model aimed at testing the effectiveness of the quantum errors of Web Services. Compared to other chip methods, the company claims that Ocelot can reduce the cost of implementing the quantum error correction by up to 90 percent.
Quantitative computing can solve complex problems significantly faster than standard computers using quantum parts, or Qubits, instead of traditional bits that store computer information as 1S and 0S. Instead of representing 1 or only, Qubits can represent a percentage of each 1 and 0 at the same time. OCELOT takes this step further than using “Cat Qubits”, called The Famous Cat Shrodenger Thought experience, which can “fundamentally suppress certain forms of errors,” according to Amazon.
The error rate is one of the main restrictions of current quantum computing, because Qubits is very sensitive to exact changes in its environments. The electromagnetic intervention of the WiFi network can be sufficient to disturb Qube and cause errors. Add more from Qubits to a chip that means faster calculations, but also more errors.
OCELOT consists of five data (Qubits Cat), five “insulating circles” to stabilize it and four Qubits to detect errors on Qubits Cat. “We have chosen Qubit and Architecture with a quantum error correction as higher requirements,” said OSKAR PAINTER, Hantum hardware director in Aws. “We believe that if we’re going to make computers practical amount, the quantum error correction must come first.”
Google claimed that her willow, which was announced in December, managed to reduce errors as more Qubits was added. Oceelot is another step towards reducing errors and making quantum computers useful reality.
This article originally appeared on Engadget on https://www.engadget.com/computing
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