Synthesis of GF(3) Based Reversible/Quantum Logic Circuits without Garbage Output. - Md. Mahmud Muntakim Khan; Ayan Kumar Biswas; Shuvro Chowdhury; Masud Hasan; Asif Islam Khan (ISMVL, 2009)

Some Basic Ternary Operations Using Toffoli Gates Along with the Cost of Implementation. - Ayan Kumar Biswas; Shuvro Chowdhury; Md. Mahmud Muntakim Khan; Masud Hasan; Asif Islam Khan (ISMVL, 2011)

Modified Bézier Curves with Shape-Preserving Characteristics Using Differential Evolution Optimization Algorithm. - Mohammad Asif Zaman; Shuvro Chowdhury (Adv. Numer. Anal., 2013)

Emulating Quantum Circuits With Generalized Ising Machines. - Shuvro Chowdhury; Kerem Yunus Çamsari; Supriyo Datta (IEEE Access, 2023)

A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms. - Shuvro Chowdhury; Andrea Grimaldi; Navid Anjum Aadit; Shaila Niazi; Masoud Mohseni; Shun Kanai; Hideo Ohno; Shunsuke Fukami; Luke Theogarajan; Giovanni Finocchio; Supriyo Datta; Kerem Yunus Çamsari (CoRR, 2023)

Training Deep Boltzmann Networks with Sparse Ising Machines. - Shaila Niazi; Navid Anjum Aadit; Masoud Mohseni; Shuvro Chowdhury; Yao Qin 001; Kerem Yunus Çamsari (CoRR, 2023)

Machine Learning Quantum Systems with Magnetic p-bits. - Shuvro Chowdhury; Kerem Yunus Çamsari (CoRR, 2023)

All-to-all reconfigurability with sparse Ising machines: the XORSAT challenge with p-bits. - Navid Anjum Aadit; Srijan Nikhar; Sidharth Kannan; Shuvro Chowdhury; Kerem Yunus Çamsari (CoRR, 2023)

Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers. - Shuvro Chowdhury; Shaila Niazi; Kerem Yunus Çamsari (CoRR, 2024)

Noise-augmented Chaotic Ising Machines for Combinatorial Optimization and Sampling. - Kyle Lee; Shuvro Chowdhury; Kerem Yunus Çamsari (CoRR, 2024)

Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers. - Shuvro Chowdhury; Navid Anjum Aadit; Andrea Grimaldi; Eleonora Raimondo; Atharva Raut; Paul Aaron Lott; Johan H. Mentink; Marek M. Rams; Federico Ricci-Tersenghi; Massimo Chiappini; Luke Theogarajan; Tathagata Srimani; et al. (CoRR, 2025)

A CMOS Probabilistic Computing Chip With In-situ hardware Aware Learning. - Jinesh Jhonsa; William Whitehead; David McCarthy; Shuvro Chowdhury; Kerem Yunus Çamsari; Luke Theogarajan (CoRR, 2025)

Probabilistic Approximate Optimization: A New Variational Monte Carlo Algorithm. - Abdelrahman S. Abdelrahman; Shuvro Chowdhury; Flaviano Morone; Kerem Yunus Çamsari (CoRR, 2025)