Professor of Physics at Stevens Institute of Technology Receives $400,000 DoE Grant to Improve Quantum Sensing with Inspiration from Quantum Computing

Insider Brief:
- Igor Pikovski, a professor of physics at Stevens Institute of Technology, has received $400,000 Department of Energy grant.
- The grant is to Improve quantum sensing with inspiration from quantum computing and to create innovative strategies for encoding and detecting quantum information.
UNIVERSITY RESEARCH NEWS —Hoboken, New Jersey/October 24, 2022 — Igor Pikovski, assistant professor of physics at Stevens Institute of Technology, has been awarded a $400,000 grant from the U.S. Department of Energy for his research study, “Quantum Information Encoding and Decoding for Quantum Sensing.”
Quantum technologies promise transformative new capabilities, from previously impossible computational proficiency to sensitive measurement strategies and more. However, even quantum physics has limitations, and its advantages and disadvantages must be carefully balanced when building quantum technologies.
In this project, The goal is to create innovative strategies for encoding and detecting quantum information. The results will show how to better accumulate, transmit and shield quantum information in quantum sensors, enabling new sensing strategies and new sensor designs in systems such as atomic clocks and quantum magnetometers.
“Quantum technologies have many useful applications, yet we still don’t fully understand their potential,” Pikovski said. “This project will combine ideas from quantum computing with quantum metrology, to help uncover untapped capabilities of quantum sensors and find out how exactly we can control some quantum phenomena in entirely new ways.”
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SOURCE: Stevens Institute of Technology

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The United States Department of Energy is a cabinet-level department of the United States Government concerned with the United States' policies regarding energy and safety in handling nuclear material.

The mission of the Department of Energy is to ensure America's security and prosperity by addressing its energy, environmental, and nuclear challenges through transformative science and technology solutions. In September, 2022, Research supported by ASCR demonstrated that classical machine learning algorithms can accurately predict ground state properties and classify quantum phases of matter using data generated from quantum experiments. In November, 2022, Research supported by Q-NEXT revealed that the performance of a sensor network is constrained by the intrinsic noise associated with the quantum states used in the network. In March, 2023, Research funded by DOE SC NP achieved the first experimental observation of entanglement between dissimilar particles, specifically positive and negative pions. In August, 2023, Research funded by DOE SC BER demonstrated strong preservation of entanglement in a two-photon absorption process involving organic molecules, offering a new approach for developing quantum light-based spectroscopy and microscopy.









