10-Sep-2021 | Market Research Store
A collaborative effort from Department of Energy and he Los Alamos National Laboratory have recently published their findings by developing a hybrid/classical/quantum form of algorithm that has the ability to extract the maximum performance from supercomputers by potentially increasing the quantum advantage than the current standard unit of measurement of today’s supercomputers. The team has hypothesizedthat the current advantage would be free of today’s iteration of noisy and error prone hardware. These errors in measurement are often known as variational quantum algorithms that have the ability to move quantum systems while integrating an increased workload when compared to classical computers in an efficient manner.
The team pertains that quantum computers have the ability to outperform the classical computer in a wider array of tasks as the former versions of quantum hardware cannot run complicated and logging algorithms. They further make excessive noise and interact with the environment that can lead to the corruption of the data which is being processed. With variational quantum algorithms, the team expects to combine the best of both worlds in order for harnessing the power of quantum computers towards simple and menial tasks in order to integrate the computational powers of quantum devices towards everyday use.
The current version of quantum computers have qubits between 50 and 100 which leads to the devices losing their quantum properties due to rapid and lagging error correction measures due to a lesser amount of qubits.However, the team notes that they cannot use these algorithms yet as they process non-interpretable results as they require a higher amount of qubits which puts a heavier restraint on the hardware capabilities and the recurring costs. The only resolving manner for running the current complicated algorithms is to change parameters and logic gates in order to minimize a smaller cost function.
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