Publications
- N. E. Miller, Biswadeep Chakraborty and Saibal Mukhopadhyay, “A Reconfigurable Quantum State Tomography Solver in FPGA,” 2023 IEEE International Conference on Quantum Computing and Engineering (2023).
- N. E. Miller and Saibal Mukhopadhyay, “Quantum State Tomography in FPGA,” Optica Quantum 2.0 Conference and Exhibition, paper QTu3A.1 (2023).
- N. E. Miller and Saibal Mukhopadhyay, “A Quantum Hopfield Associative Memory Implemented on an Actual Quantum Processor,” Sci Rep 11, 23391 (2021).
- N. E. Miller, Zheng Wang, Saurabh Dash, Asif Islam Khan and Saibal Mukhopadhyay, “Impact of HKMG and FDSOI FeFET drain current variation in processing-in-memory architectures,” Journal of Materials Research (2021).
- MS Thesis published under the same title by N. E. Miller (2022).
- N. E. Miller, Zheng Wang, Saurabh Dash, Asif Islam Khan and Saibal Mukhopadhyay, “Characterization of Drain Current Variations in FeFETs for PIM-based DNN Accelerators,” 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).
- N. E. Miller, “Simulating the Effects of Mechanical Stress on Hall-Effect Sensor Devices,” Undergraduate Thesis in UF Libraries (2019).
Talks
- “Quantum-Classical Hardware Co-Design Towards Useful Quantum Computers,” 2024 Air Force Office of Scientific Research Joint Review for Atomic and Molecular Physics and Quantum Information Science Portfolios, Arlington, VA, May 2024.
- “Quantum-Classical Co-Design Towards Useful Quantum Computers,” Sandia National Laboratories, Albuquerque, NM (Virtual), Apr. 2024.
- “Feedback-based calibration for tuning and drift control of a trapped-ion quantum processor,” APS March Meeting 2024, Minneapolis, MN, Mar. 2024.
- “Real-Time Feedback for Calibration of Quantum Processors,” MIT Lincoln Laboratories, Lexington, MA, Feb. 2024.
- Beyond-CMOS Computing in the National Interest
US Army Research Laboratory Adelphi Laboratory Center, Adelphi, MD, Nov. 2023 - Feedback-Based Calibration for Rapid Tuning and Drift Control of Quantum Processors
Assessing the Performance of Quantum Computers (APQC) Workshop, Estes Park, CO, Sept. 2023 - Accelerated Quantum State Tomography with Machine Learning Applications
National Defense Science and Engineering Graduate Fellows Conference, San Antonio, TX, Aug. 2023 - Quantum State Tomography in FPGA
Optica Quantum 2.0 Conference and Exhibition, Denver, CO, July 2023. - An Introduction to Quantum Machine Learning
Georgia Institute of Technology ECE8863: Quantum Computing Devices and Hardware, Atlanta, GA, Apr. 2023 - Characterization of Drain Current Variations in FeFETs for PIM-Based DNN Accelerators
IEEE AICAS Conference, Virtual, USA, June 2021 - Impact of FeFET Drain Current Variation in Processing-in-Memory Architectures
Materials Research Society Spring Meeting, Virtual, USA, April 2021