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Research Team Sets Record For The Most Accurate Entangling Gate Without Lasers

UTSA
UTSA
University of Texas at San Antonio-led research team sets record for laser-free quantum computing advance. (Image: Pixabay)

UNIVERSITY RESEARCH NEWS — A team of researchers set the world record for the most accurate entangling gate ever demonstrated without lasers.

R. Tyler Sutherland, an assistant professor in the College of Sciences’ Department of Physics and Astronomy and the College of Engineering and Integrated Design’s Department of Electrical Engineering, University of Texas at San Antonio, developed the theory behind the record-setting experiment.

According to Sutherland, an entangling gate takes two qubits (quantum bits) and creates an operation on the secondary qubit that is conditioned on the state of the first qubit.

“For example, if the state of qubit A is 0, an entangling gate doesn’t do anything to qubit B, but if the state of qubit A is 1, then the gate flips the state of qubit B from 0 to 1 or 1 to 0,” he said. “The name comes from the fact that this can generate a quantum mechanical property called ‘entanglement’ between the qubits.”

Sutherland adds that making the entangling gates in your quantum computer “laser-free” enables more cost-effective and easier to use quantum computers. He says the price of an integrated circuit that performs a laser-free gate is negligible compared to the tens of thousands of dollars it costs for a laser that does the same thing.

“Laser-free gate methods do not have the drawbacks of photon scattering, energy, cost and calibration that are typically associated with using lasers,” Sutherland explained. “This alternative gate method matches the accuracy of lasers by instead using microwaves, which are less expensive and easier to calibrate.”

This quantum computing accomplishment is detailed in a paper Sutherland co-authored titled, “High-fidelity laser-free universal control of trapped-ion qubits.” It was published in the scientific journal, Nature, on September 8.

Quantum computers have the potential to solve certain complex problems exponentially faster than classical supercomputers.

One of the most promising uses for quantum computers is to simulate quantum mechanical processes themselves, such as chemical reactions, which could exponentially reduce the experimental trial and error required to solve difficult problems. These computers are being explored in many industries including science, engineering, finance and logistics.

“Broadly speaking, the goal of my research is to increase human control over quantum mechanics,” Sutherland said. “Giving people power over a different part of nature hands them a new toolkit. What they will eventually build with it is uncertain.”

That uncertainty, says Sutherland, is what excites him most.

Sutherland’s research background includes quantum optics, which studies how quantum mechanical systems emit light. He earned his Ph.D. at Purdue University and went on to Lawrence Livermore National Laboratory for his postdoc, where he began working on experimental applications for quantum computers.

He became a tenure-track assistant professor at UTSA last August as part of the university’s Quantum Computation and Quantum Information Cluster Hiring Initiative.

Source — UTSA

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The Future of Materials Discovery: Reducing R&D Costs significantly with GenMat’s AI and Machine Learning Tools

When: July 13, 2023 at 11:30am

What: GenMat Webinar

Jake Vikoren

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Company Speaker

Deep Prasad

Deep Prasad

Company Speaker

Araceli Venegas

Araceli Venegas

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