A 4.2-pJ/Conv 10-b Asynchronous ADC with Hybrid Two-Tier Level-Crossing Event Coding. - Rajkumar Kubendran; Jongkil Park 001; Ritvik Sharma; Chul Kim; Siddharth Joshi 001; Gert Cauwenberghs; Sohmyung Ha (ISCAS, 2020)

A Crossbar Array of Analog-Digital-Hybrid Volatile Memory Synapse Cells for Energy-Efficient On-Chip Learning. - Janak Sharda; Ritvik Sharma; Debanjan Bhowmik (ISCAS, 2021)

Fast-QTrain: an algorithm for fast training of variational classifiers. - Siddharth Dangwal; Ritvik Sharma; Debanjan Bhowmik (Quantum Inf. Process., 2022)

The Sparse Abstract Machine. - Olivia Hsu; Maxwell Strange; Ritvik Sharma; Jaeyeon Won; Kunle Olukotun; Joel S. Emer; Mark A. Horowitz; Fredrik Kjølstad (ASPLOS (3), 2023)

APEX: A Framework for Automated Processing Element Design Space Exploration using Frequent Subgraph Analysis. - Jackson Melchert; Kathleen Feng; Caleb Donovick; Ross Daly; Ritvik Sharma; Clark W. Barrett; Mark A. Horowitz; Pat Hanrahan; Priyanka Raina (ASPLOS (3), 2023)

CODEBench: A Neural Architecture and Hardware Accelerator Co-Design Framework. - Shikhar Tuli; Chia-Hao Li; Ritvik Sharma; Niraj K. Jha (ACM Trans. Embed. Comput. Syst., 2023)

Onyx: A Programmable Accelerator for Sparse Tensor Algebra. - Kalhan Koul; Maxwell Strange; Jackson Melchert; Alex Carsello; Yuchen Mei; Olivia Hsu; Taeyoung Kong; Po-Han Chen; Huifeng Ke; Keyi Zhang; Qiaoyi Liu; Gedeon Nyengele; et al. (HCS, 2024)

Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications. - Kalhan Koul; Maxwell Strange; Jackson Melchert; Alex Carsello; Yuchen Mei; Olivia Hsu; Taeyoung Kong; Po-Han Chen; Huifeng Ke; Keyi Zhang; Qiaoyi Liu; Gedeon Nyengele; et al. (VLSI Technology and Circuits, 2024)

Compilation of Qubit Circuits to Optimized Qutrit Circuits. - Ritvik Sharma; Sara Achour (Proc. ACM Program. Lang., 2024)

Optimizing Ancilla-Based Quantum Circuits with SPARE. - Ritvik Sharma; Sara Achour (Proc. ACM Program. Lang., 2025)