Tech

Google Designs Quantum Tech With Twist, Faster Pharmaceutical Product Formulation, Computer Error Corrections Main Benefits

Michael Finn
First Posted: Jun 10, 2016 06:30 AM EDT

Quantum computing combined with various approach were made to ensure well-functioning quantum computer. Google announced this week a development in combining two different techniques with a pleasant outcome.

The journal Nature published an article on June 8, Wednesday that a team of researchers from Google with the help of several academic institutions created a method called "quantum annealing with a digital twist," which is said to be a combined approach of the gate model and quantum annealing. The digitalized quantum computing was conducted by the UPV/EHU team wherein the strategy could be used to make universal problems solvable and can be used in financial departments for formulation of new products in pharmaceutical companies, Eurekalert reported.

Quantum computing has been used for supercomputers created by giant companies, which are expected to produce computers with excellent performance and efficiency. The Quantum artificial intelligence lab is a machine they bought in 2013 with NASA from D-wave systems featuring 100 million fold speed up single processor, CTO Vision reported. The bits used by traditional computation are represented in data 0 and 1, while qubits, an equivalent of 0 and 1, at the same time are used for faster computation in complicated problems.

A five qubit quantum processor was developed by IBM; however, an announcement made a few weeks ago revealed that it will be available through cloud. The gate model is also used by IBM, which also includes error correction. D-wave, a quantum specialist uses quantum annealing or the adabiatic approach. It centralizes on maintaining the lowest energy  state, progressing into quantum system.

Quantum computing with a mix of gate and adabiatic approach can be integrated in a quantum computer. They also used 9 qubits in  a simulated system  as an experiment. The qubits are connected to each other but are individually controlled. The vital advantage in the future is the compatibility of digital implementation and the added effect of error correction techniques which can be protected from noise. This technological breakthrough will enhance future computer performance.

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