Siddharth Dangwal

14 papers A* 3B 1C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Interleaved Logical Qubits in Atom Arrays.
HPCA
Joshua Viszlai, Sophia Fuhui Lin, Siddharth Dangwal, Conor Bradley, Vikram Ramesh, Jonathan M. Baker, Hannes Bernien, Frederic T. Chong
2025 A* conf
Variational Quantum Algorithms in the era of Early Fault Tolerance.
ISCA
Siddharth Dangwal, Suhas Vittal, Lennart Maximilian Seifert, Frederic T. Chong, Gokul Subramanian Ravi
2024 — conf
COMPASS: Compiler Pass Selection For Improving Fidelity Of NISQ Applications.
ICRC
Siddharth Dangwal, Gokul Subramanian Ravi, Lennart Maximilian Seifert, Poulami Das, James Sud, Frederic T. Chong
2024 — conf
Clapton: Clifford Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms.
ASPLOS (4)
Lennart Maximilian Seifert, Siddharth Dangwal, Frederic T. Chong, Gokul Subramanian Ravi
2023 J jnl
Clifford Assisted Optimal Pass Selection for Quantum Transpilation.
CoRR
Siddharth Dangwal, Gokul Subramanian Ravi, Lennart Maximilian Seifert, Frederic T. Chong
2023 C conf
QContext: Context-Aware Decomposition for Quantum Gates.
ISCAS
Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland
2023 J jnl
QContext: Context-Aware Decomposition for Quantum Gates.
CoRR
Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland
2023 — conf
VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms.
ASPLOS (4)
Siddharth Dangwal, Gokul Subramanian Ravi, Poulami Das, Kaitlin N. Smith, Jonathan Mark Baker, Frederic T. Chong
2023 J jnl
VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms.
CoRR
Siddharth Dangwal, Gokul Subramanian Ravi, Poulami Das, Kaitlin N. Smith, Jonathan M. Baker, Frederic T. Chong
2022 J jnl
Fast-QTrain: an algorithm for fast training of variational classifiers.
Quantum Inf. Process.
Siddharth Dangwal, Ritvik Sharma, Debanjan Bhowmik
2021 B conf
A Quantum Activation Function for Neural Networks: Proposal and Implementation.
IJCNN
Saurabh Kumar, Siddharth Dangwal, Soumik Adhikary, Debanjan Bhowmik
2021 A* conf
ADAPT: Mitigating Idling Errors in Qubits via Adaptive Dynamical Decoupling.
MICRO
Poulami Das, Swamit S. Tannu, Siddharth Dangwal, Moinuddin K. Qureshi
2020 J jnl
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation.
CoRR
Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik
2020 J jnl
Supervised learning with a quantum classifier using multi-level systems.
Quantum Inf. Process.
Soumik Adhikary, Siddharth Dangwal, Debanjan Bhowmik