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2020 – today
- 2023
[c4]Siddharth Dangwal
, Gokul Subramanian Ravi, Poulami Das, Kaitlin N. Smith, Jonathan Mark Baker, Frederic T. Chong:
VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms. ASPLOS (4) 2023: 362-377- [c3]Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland:
QContext: Context-Aware Decomposition for Quantum Gates. ISCAS 2023: 1-5 - [i4]Ji Liu, Max Bowman, Pranav Gokhale, Siddharth Dangwal, Jeffrey Larson, Frederic T. Chong, Paul D. Hovland:
QContext: Context-Aware Decomposition for Quantum Gates. CoRR abs/2302.02003 (2023) - [i3]Siddharth Dangwal, Gokul Subramanian Ravi, Poulami Das, Kaitlin N. Smith, Jonathan M. Baker, Frederic T. Chong:
VarSaw: Application-tailored Measurement Error Mitigation for Variational Quantum Algorithms. CoRR abs/2306.06027 (2023) - [i2]Siddharth Dangwal, Gokul Subramanian Ravi, Lennart Maximilian Seifert, Frederic T. Chong:
Clifford Assisted Optimal Pass Selection for Quantum Transpilation. CoRR abs/2306.15020 (2023) - 2022
- [j2]Siddharth Dangwal, Ritvik Sharma, Debanjan Bhowmik:
Fast-QTrain: an algorithm for fast training of variational classifiers. Quantum Inf. Process. 21(5): 189 (2022) - 2021
- [c2]Saurabh Kumar, Siddharth Dangwal, Soumik Adhikary, Debanjan Bhowmik:
A Quantum Activation Function for Neural Networks: Proposal and Implementation. IJCNN 2021: 1-8 - [c1]Poulami Das, Swamit S. Tannu, Siddharth Dangwal, Moinuddin K. Qureshi:
ADAPT: Mitigating Idling Errors in Qubits via Adaptive Dynamical Decoupling. MICRO 2021: 950-962 - 2020
- [j1]Soumik Adhikary, Siddharth Dangwal, Debanjan Bhowmik:
Supervised learning with a quantum classifier using multi-level systems. Quantum Inf. Process. 19(3): 89 (2020) - [i1]Saurabh Kumar, Siddharth Dangwal, Debanjan Bhowmik:
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation. CoRR abs/2007.10242 (2020)
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