Siddharth Dangwal

According to our database, Siddharth Dangwal authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Variational Quantum Algorithms in the era of Early Fault Tolerance.

Siddharth Dangwal, Suhas Vittal, Lennart Maximilian Seifert, Frederic T. Chong, Gokul Subramanian Ravi

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Interleaved Logical Qubits in Atom Arrays.

Joshua Viszlai, Sophia Fuhui Lin, Siddharth Dangwal, Conor Bradley, Vikram Ramesh, Jonathan M. Baker, Hannes Bernien, Frederic T. Chong

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

COMPASS: Compiler Pass Selection For Improving Fidelity Of NISQ Applications.

Siddharth Dangwal, Gokul Subramanian Ravi, Lennart Maximilian Seifert, Poulami Das, James Sud, Frederic T. Chong

Proceedings of the IEEE International Conference on Rebooting Computing, 2024

Clapton: Clifford Assisted Problem Transformation for Error Mitigation in Variational Quantum Algorithms.

Lennart Maximilian Seifert, Siddharth Dangwal, Frederic T. Chong, Gokul Subramanian Ravi

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Clifford Assisted Optimal Pass Selection for Quantum Transpilation.

Siddharth Dangwal, Gokul Subramanian Ravi, Lennart Maximilian Seifert, Frederic T. Chong

CoRR, 2023

QContext: Context-Aware Decomposition for Quantum Gates.

Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms.

Siddharth Dangwal, Gokul Subramanian Ravi, Poulami Das, Kaitlin N. Smith, Jonathan Mark Baker, Frederic T. Chong

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Fast-QTrain: an algorithm for fast training of variational classifiers.

Siddharth Dangwal, Ritvik Sharma, Debanjan Bhowmik

Quantum Inf. Process., 2022

2021

ADAPT: Mitigating Idling Errors in Qubits via Adaptive Dynamical Decoupling.

Poulami Das, Swamit S. Tannu, Siddharth Dangwal, Moinuddin K. Qureshi

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

A Quantum Activation Function for Neural Networks: Proposal and Implementation.

Saurabh Kumar, Siddharth Dangwal, Soumik Adhikary, Debanjan Bhowmik

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Supervised learning with a quantum classifier using multi-level systems.

Soumik Adhikary, Siddharth Dangwal, Debanjan Bhowmik

Quantum Inf. Process., 2020

Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation.

Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik

CoRR, 2020