Illinois Quantum Applications Program

This new program will support Illinois researchers interested in learning to use quantum computing as a resource for solving science and engineering problems. The goal of this activity is 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 is required. Participants will have access to a premier online learning experience, cutting-edge simulation tools, and state-of-the-art quantum computing hardware. 

Program Details

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.

2022 Projects and Participants

Quantum Computing for Simulating Plasmons (Prashant Jain)

A Quantum Lens for Biology  (Aleksei Aksiementiev)

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

Radiation transport simulation through quantum computing (Angela Di Fulvio)

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

Emergent Liquid State Physics of Molten Salts (Yang Zhang)

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

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

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

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

Applications of Quantum Computing in Functional Genomics (Mohith Manjunath)

Quantum Computing for addressing the curse of dimensionality in AI/ML for Hydrocomplexity (Praveen Kumar)

How to Apply

Teams must include a full-time employee such as a faculty member or research scientist, and may incorporate undergraduate, graduate, and/or post-doctoral researchers. Please apply by filling out this brief form:  Applications will be reviewed and accepted on a rolling basis. Those seeking to join the spring cohort should apply by November 4th, 2022. Selected teams will be invited to attend the final presentations on November 7, 12PM-2 of the first SU22 IQAP cohort.

Applications must include:

    • Name and department affiliation of faculty lead and other team members; please indicate whether team members are undergraduate students, graduate students, or postdoctoral researchers.
    • 300 words or less research statement on how you think quantum computing might impact your research area.