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Tag: Andrew Jordan

Quantum engines? Entanglement as fuel?

Quantum engines? Entanglement as fuel?

October 15, 2020

It’s still more science fiction than science fact, but perfect energy efficiency may be one step closer due to new research by Rochester physicists.

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Is teleportation possible? Yes, in the quantum world

Is teleportation possible? Yes, in the quantum world

June 19, 2020

Rochester physicists are exploring new ways of creating quantum-mechanical interactions between distant electrons. The research marks an important advance in quantum computing.

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Researchers develop superconducting quantum refrigerator

Researchers develop superconducting quantum refrigerator

June 3, 2019

Physicist Andrew Jordan and his fellow researchers harnessed superconductivity to conceive of a quantum refrigerator that could cool atoms to nearly absolute zero temperatures.

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Quantum magic makes quick work of measuring frequency

Quantum magic makes quick work of measuring frequency

November 8, 2017

Using the strange rules of quantum mechanics, researchers were able to put a quantum bit in a superposition of two different energy states at the same time in order to speed up the accurate measurement of frequencies.

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Physics and Astronomy professors awarded research leave fellowships

Physics and Astronomy professors awarded research leave fellowships

March 23, 2017

Alice Quillen and Andrew Jordan have been awarded prestigious Simons Foundation Faculty Fellowships to pursue their research in theoretical physics. “This is a great time to drop everything and go work on the galaxy!” says Quillen.

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Mapping the optimal route between two quantum states

Mapping the optimal route between two quantum states

July 30, 2014

As a quantum state collapses, it will follow a path known as a quantum trajectory. In a new paper featured this week on the cover of Nature, scientists have shown that it is possible to track these quantum trajectories and compare them to a theory, recently developed by University of Rochester physicists, for predicting the most likely path a system will take.

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