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Research by University of Chicago Ph.D. Student, EPiQC Wins IBM Q Best Paper


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A commutation graph for 16 2-qubit Pauli strings.

A team of researchers who developed a new approach for using a quantum computer to realize a near-term "killer app" was awarded the $2,500 first prize in the 2019 IBM Q Best Paper Award competition.

Credit: University of Chicago

A team of researchers at the University of Chicago, the University of California, Berkeley, Princeton University, and Argonne National Laboratory developed a new approach for using a quantum computer to realize a near-term "killer app."

For their work, the team was awarded the $2,500 first-place prize in the 2019 IBM Q Best Paper Award competition.

The research looked at how the VQE quantum algorithm could improve the ability of current and near-term quantum computers to solve highly complex problems.

The team used the new approach to reduce the computational cost of running the VQE algorithm by 7-12 times.

The researchers validated the approach on one of IBM's cloud-service 20-qubit quantum computers, and found lower error rates compared to traditional methods of solving the problem.

From HPCwire
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA


 

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