Siddharth Dangwal

According to our database, Siddharth Dangwal authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

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