Quantum User Group (QUG) Monthly BYO Lunch and Learn - December
- Sponsor
- NCSA, IQUIST
- Registration
- No Registration. Click here to join Zoom at 12:30 PM CT.
- Contact
- Aliya Yabekova
- aliya@illinois.edu
- Views
- 2
- Originating Calendar
- NCSA Quantum Calendar
NCSA, in collaboration with IQUIST, invites you to the monthly Quantum User Group gatherings for the campus community.
The Quantum User Group (QUG) is being formed to bring together several efforts that have been underway and to raise awareness of activities of which members of the campus community may wish to take advantage. The QUG creates a forum for interaction and information sharing in order to facilitate growing the local community of researchers with interest in quantum computing and raise awareness about emerging quantum computing capabilities and for those exploring the use of hybrid classical/quantum computing to share their experiences--both successes and challenges-with others.
We encourage researchers with challenging research problems that can potentially benefit from quantum computing along with those who are curious about this to help determine the potential for benefiting your research to participate. Graduate students and postdocs affiliated with research in classical as well as quantum computing and all campus community members interested in quantum computing are also encouraged to attend.
Agenda:
We have invited Ayush Bansal, Ph.D. student in Computer Science at the University of Illinois Urbana-Champaign to present "LLQM: Simplifying Quantum Application Execution"
Title: LLQM: Simplifying Quantum Application Execution
Abstract:Running a quantum application requires more than writing a quantum circuit. Users must decide which physical qubits to use, how to reduce the effects of hardware noise, and how to configure and coordinate the classical and quantum computation. These choices affect both result quality and execution cost, interact in ways that are difficult to predict, and may need to change as hardware conditions evolve. More computation does not necessarily produce a better result.We introduce LLQM (Low-Level Quantum Machine), a quantum application runtime designed to move these execution decisions from users into the system. LLQM brings the classical and quantum stages of an application into a common framework, using continuous profiling and hardware information to inform qubit selection, error-mitigation configuration, and resource allocation. Its goal is to let users focus on their applications and desired outcomes while the runtime manages the execution details.This talk and demo will walk through running an application with LLQM, illustrating how qubit and configuration choices affect result quality, runtime, and resource consumption. Using experiments on IBM quantum processors, we will show why these decisions must be considered together and how LLQM makes their effects visible. We will also discuss current capabilities and the path toward automated execution guided by user-specified quality and resource constraints. No prior expertise in quantum hardware or error mitigation is assumed.Bio:Ayush Bansal is a third-year Ph.D. student in Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Tianyin Xu. His research lies at the intersection of quantum computing and computer systems, with a focus on making quantum applications easier and more efficient to run. His current work includes profiling and optimizing quantum-classical pipelines and improving the performance of quantum error correction algorithms.