Jianqing Liu
North Carolina State University, NC·Engineering·Early-career
Quantum effects such as entanglement can make sensors and networks perform beyond classical limits. Ordinary wireless devices, by contrast, are full of errors that engineers usually try to remove.
- Fields
Engineering
Computer Science
Physics
- Topics
quantum sensing
quantum networks
virtual quantum network
- Grants
- 3 known grants, through Aug 2027
What they work on
- Develop an entangled-photon quantum sensor with acousto-optic beam steering and an adaptively learning quantum receiver to detect downy mildew on infected cucumber leaves within 1–2 days of infection.
- Create theories and algorithms to optimize quantum receiver circuits in real time, compensating for high photon losses in agricultural environments.
- Harvest and steer data errors to specific bits in wireless devices at runtime, across application, embedded memory and radio layers, to gain energy efficiency, throughput and privacy.
- Develop edge networking protocols and implicit control signaling that adjust error levels to channel conditions in wireless networks.
- Redesign entangled photon sources and detectors and build a software architecture for a virtual quantum network prototype controlled through software rather than hardware changes.
- Develop protocols for slice placement, routing, request queuing, and entanglement purification and swapping, then test the prototype on a quantum network testbed with open application programming interfaces.
More about the research
These grants explore both ideas. One applies quantum sensing to detect crop disease early. Another builds a flexible, software-controlled quantum network for research and teaching. A third looks at whether errors in everyday wireless devices can be put to use instead of only removed.
Why it matters
Cucumber and other cucurbit growers could detect downy mildew days earlier, which may reduce crop losses and fungicide use. Making use of device errors could make phones and sensors more energy-efficient and private. A shared, software-controlled quantum network could lower the cost of quantum experiments and give universities broad access to quantum research and training.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
QuSeC-TAQS: Sensing-Intelligence on The Move: Quantum-Enhanced Optical Diagnosis of Crop Diseases
NSF · Sep 2023 – Aug 2027
ExpandQISE: Track 1: Virtual Quantum Networks: From Foundations to Field Tests
NSF · Nov 2022 – Aug 2027
CAREER: Taming Wireless Devices Cross-Layer Errors with Assistive Networked Edges
NSF · Jan 2023 – Jul 2027
Closest labs
Tasnuva Farheen
Louisiana State University, LA·Computer Science
Test whether quantum correlation measures, specifically quantum discord and entanglement of formation, indicate channel noise more informatively than fidelity alone in simulated noisy quantum links.
Yves Idzerda
Montana State University, MT·Physics
Build robotic pipelines that automate the slowest steps of making and assembling devices from 2D materials, connected directly to quantum characterization instruments developed with industry partners.
Yuanyuan Yang
Stony Brook University, NY·Computer Science
Develop qubit entanglement and mapping algorithms that let tens to hundreds of interconnected quantum processing units act as one virtual quantum machine with many more qubits.
The school
North Carolina State University: 40 labs on PI Pages, $717M a year on research, 603 research doctorates a year.
Reach out
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