The Grainger College of Engineering
Hybrid Quantum Architectures and Networks

Illinois Quantum Applications Program

In 2022-2023, this program supported Illinois researchers interested in learning to use quantum computing as a resource for solving science and engineering problems. The goal was to introduce the broader scientific and engineering community to quantum computing and to spark interest in discovering new applications and use-cases. No prior experience with quantum computing was required. Participants had access to a premier online learning experience, cutting-edge simulation tools, and state-of-the-art quantum computing hardware. 

Current Illinois researchers interested in learning more about how their research applies to Quantum Computing should contact Santiago Núñez-Corrales (nunezco2@illinois.edu), Quantum Lead Research Scientist at the NCSA, and an alumnus of the IQAP program.

This program will include:

  1. Funding for up to 5 team members to take the two-part Quantum Computing for Everyone EdX course, which includes a certificate.
  2. $1000 per team in AWS Braket computing credits that can be used to run your code on a 34 qubit simulator and real quantum computing hardware! Fully running one quantum circuit costs about $1 on Braket; more credit may be requested if needed for your research.
  3. Access to an introductory and advanced AWS Braket Technical Training seminar and support.
  4. Cohort quantum research talks and social opportunities designed to spark discussions with other students and faculty on quantum computing research.

Quantum Computing for Simulating Plasmons (Prashant Jain, Chemistry)

A Quantum Lens for Biology  (Aleksei Aksiementiev, Physics)

quAPL: toward an array language for high-level quantum programming (Santiago Nunez-Corrales, NCSA)

Radiation transport simulation through quantum computing (Angela Di Fulvio, NPRE)

On the Role of Quantum Optimization in Reconfigurable Wireless Environments (Zhen Peng, ECE)

Emergent Liquid State Physics of Molten Salts (Yang Zhang, NPRE)

Quantum Voice Vision Vitals (VVV): A Novel Approach for Health Assessments and Treatments (Mary Pietrowicz, Applied Research Institute)

Using quantum computation random walk to analyze gene regulation network for differential expression data (Weihao Ge, NCSA)

Using Quantum Computing for Fundamental Bituminous Materials Science (Ramez Hajj, MatSE)

Quantum Computing applied to Black-Scholes and Monte Carlo for Options Trading (Jacob Kinsey, Business)

Applications of Quantum Computing in Functional Genomics (Mohith Manjunath, NCSA)

Quantum Computing for addressing the curse of dimensionality in AI/ML for Hydrocomplexity (Praveen Kumar, Civil and Environmental Engineering)

Quantum Computing for Simulating Plasmons (Prashant Jain, Chemistry)

quAPL: toward an array language for high-level quantum programming (Santiago Nunez-Corrales, NCSA)

Exploring electronic design automation (EDA) using quantum computing​ (Jose Schutt-Aine, Yi Zhou, Juhitha Konduru, Chengjun Lu​, Department of Electrical and Computer Engineering)

Quantum computation forhyperspectral imageprocessing & medicalimaging system design (Elena Maria Zannoni, Ling Meng, Can Yang, Shubham Mandot, Angie Tomita​, Department of Nuclear, Plasma, and Radiological Engineering)

Analyzing poetry/songusing quantum computing​  (Rini Mehta, Tom Reichel​, Program in Comparative and World Literature​)

Novel neural recommender systems design​  (Hari Sundaram , Junting Wang, Praneeth Rathi, Rohan Gumaste, Department of Computer Science)

Quantum computing for adaptive design ML of polymer liquids​ (Michal Ondrejcek, Omar Elabd, Applied Research Institute)

Fault-tolerant quantum computing​ (Anuj Keshava Nayak, Lav Varshney, Sourya Basu, Moulik Choraria, Amnon Attali, Xinbo Wu, Razan Baltaji, Akhil Bhimaraju, Department of Electrical and Computer Engineering​)

Quantum algorithms for solving the multi-vehicle multi-objective routing problem​  (Homa Khosravian, Alireza Talebpour, Jun Bae, Tina Radvand, Chun-Chien Hsiao, Department of Computer Science​)

QC algorithm with a graph neural network approach for high-energy-physics applications​  (Mark Neubauer, Avik Roy, Dewen Zhong, Michael Vayninger, Sean Lee, Physics​)

The IQAP program is no longer being offered. Current Illinois researchers interested in learning more about how their research applies to Quantum Computing should contact Santiago Núñez-Corrales (nunezco2@illinois.edu), Quantum Lead Research Scientist at the NCSA, and an alumnus of the IQAP program.