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Quantum Computing Better than Classical Counterparts

Quantum Computing and quantum sensing have the potential to be more powerful than their classical counterparts. Quantum computer takes just seconds to solve equations that would take a classical computer thousands of years. The paper was published in the journal physics.

Many widespread theories about the impact of quantum technologies, very few researchers have been able to demonstrate, using the technology available now, that quantum methods have an advantage over their classical counterparts.The University of Arizona researchers experimentally show that quantum has an advantage over classical computing systems.

Zheshen Zhang, assistant professor of materials science and engineering, principal investigator of the UArizona Quantum Information and Materials Group and one of the paper’s authors and the co author of the study said that they are demonstrating a quantum advantage is a long-sought-after goal in the community, and very few experiments have been able to show it. They are striving to indicate how we can leverage the quantum technology that already exists to benefit real-world applications.

Quantum Computing Better than Classical CounterpartsQuantum Computing and other quantum processes rely on tiny, powerful units of information called qubits. Classical computers today use units of information called bits, which exist as either 0s or 1s, but qubits are capable of existing in both states at the same time. This duality makes them both powerful and fragile. The delicate qubits are prone to collapse without warning, making a process called error correction which addresses such problems as they happen.

The experiment described in the paper used a mix of both classical and Quantum Computing techniques. It used three sensors to classify the average amplitude and angle of radio frequency signals. The sensors were equipped with another quantum resource called entanglement, which allows them to share information and provides two major benefits. It improves the sensitivity of the sensors and reduces errors. They are entangled, the sensors evaluate global properties rather than gathering data about specific parts of a system.

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