I-Corps: Translation potential of grand unification of quantum algorithms on photonic integrated circuits
- Institution
- North Carolina State University, NC
- Principal investigator
- Qing Gu
- Funding
- $50K
- Duration
- 2026–2027
Moonbase score
Still being scored
Abstract
This I-Corps project is based on the development of reconfigurable optical chips that manipulate light using software for quantum computing. Many quantum computing technologies face challenges in manufacturing, scalability, and system complexity, limiting their commercial deployment. This technology uses a semiconductor photonic platform that performs quantum computational functions on compact, programmable photonic chips. Semiconductors are the backbone of most electronics, from smart phones to home appliances to satellites. By leveraging scalable integrated photonics, the technology has the potential to reduce system complexity and operating costs and enable practical quantum computing solutions. Potential applications include quantum computing hardware, cloud computing, scientific computing, optimization, advanced materials discovery, energy technologies, and other computationally intensive applications. This technology may offer a foundational computational capability for scalable quantum computing. This I-Corps project utilizes experiential learning coupled with first-hand investigation of the industry ecosystem to assess the translation potential of programmable photonic integrated circuits that implement quantum signal processing. Quantum signal processing is a versatile computational primitive that enables a broad class of quantum algorithms through programmable polynomial transformations. This technology is based on reconfigurable photonic integrated circuits fabricated using semiconductor-compatible processes and implements these transformations in a compact, scalable platform. Experimental results show close agreement among theoretical predictions, numerical simulations, and hardware measurements. Photonic circuits offer a complementary metal-oxide-semiconductor (CMOS)-compatible path toward scalable, room-temperature operation without the cryogenic infrastructure required by many competing quantum-computing technologies. This technology may enable higher-degree quantum signal processing and create value for quantum-computing hardware, software, and cloud-service providers. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Research team
- Qing GuPI
- Yuan Liu
LOADING MOONBASE SCORE
Questions for North Carolina State University
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same researchers, same institution, same topic, scored first.
- NSF · North Carolina State UniversityNot yet scored
I-Corps: Translation Potential of Fault-Tolerant Modular Quantum Software
Yuan Liu · $50K · 2026–2027
- NSF · North Carolina State UniversityNot yet scored
ENG-QUANT: Advancing Magneto-Optical Traps with Compact Designs Using Planar Optics
Qing Gu · $450K · 2025–2028
- NSF · North Carolina State UniversityNot yet scored
Collaborative Research: Multi-Modal Sensing with Robust, Unified, and Scalable Diffractive Optical Neural Networks
Qing Gu · $400K · 2025–2028