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Special Session: On the Reliability of Conventional and Quantum Neural Network Hardware.

, , , , , , , and . VTS, page 1-12. IEEE, (2022)

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Energy centric model of SRAM write operation for improved energy and error rates.. CICC, page 1-4. IEEE, (2013)iMACE: In-Memory Acceleration of Classic McEliece Encoder., , , , and . ISVLSI, page 513-518. IEEE, (2019)A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support., , , , , , , , , and 3 other author(s). ISLPED, page 34:1-34:6. ACM, (2018)Quantum Random Access Memory for Dummies., , and . Sensors, 23 (17): 7462 (September 2023)Quantum-Soft QUBO Suppression for Accurate Object Detection., and . ECCV (29), volume 12374 of Lecture Notes in Computer Science, page 158-173. Springer, (2020)HeapSafe: Securing Unprotected Heaps in RISC-V., and . CoRR, (2021)Impact of process-variations in STTRAM and adaptive boosting for robustness., , and . DATE, page 1431-1436. ACM, (2015)Coping with Variations through System-Level Design., , , , , and . VLSI Design, page 581-586. IEEE Computer Society, (2009)Sensitivity based Error Resilient Techniques for Energy Efficient Deep Neural Network Accelerators., , , and . DAC, page 204. ACM, (2019)A Novel On-Chip Delay Measurement Hardware for Efficient Speed-Binning., , and . IOLTS, page 287-292. IEEE Computer Society, (2005)