10 citations · 20 across the 9 of their papers we have counts for
9 papers
A 28nm 27,648-Spin Multichip Digital Ising Accelerator with Pegasus Connectivity
Tong Wu, Atharva Raut, Ian Khor +10
We report a 28 nm four-chip Ising accelerator with 27,648 spins, degree-15 Pegasus connectivity, and 10b coefficients. Boundary-state streaming overlaps interchip transfers with sp…
Modeling of Dark Count Probability in Perimeter-Gated SPADs
Md Sakibur Sajal, Ziyad Alswaidan, Tathagata Srimani +1
This Letter presents a novel analytical framework showing that the dark count probability (PDC) of perimeter-gated single-photon avalanche diodes (pg-SPADs) follows a complementary…
Probabilistic approximate optimization using single-photon avalanche diode arrays
Ziyad Alswaidan, Abdelrahman S. Abdelrahman, Md Sakibur Sajal +9
Combinatorial optimization problems are central to science and engineering and specialized hardware from quantum annealers to classical Ising machines are being actively developed…
Probabilistic Computers for MIMO Detection: From Sparsification to 2D Parallel Tempering
M Mahmudul Hasan Sajeeb, Kevin Callahan-Coray, Corentin Delacour +3
Probabilistic computers built from p-bits offer a promising path for combinatorial optimization, but the dense connectivity required by real-world problems scales poorly in hardwar…
Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi +12
Recent demonstrations on specialized benchmarks have reignited excitement for quantum computers, yet whether they can deliver an advantage for practical real-world problems remains…
Scalable Connectivity for Ising Machines: Dense to Sparse
M Mahmudul Hasan Sajeeb, Navid Anjum Aadit, Shuvro Chowdhury +7
In recent years, hardware implementations of Ising machines have emerged as a viable alternative to quantum computing for solving hard optimization problems among other application…
Next-generation Probabilistic Computing Hardware with 3D MOSAICs, Illusion Scale-up, and Co-design
Tathagata Srimani, Robert Radway, Masoud Mohseni +2
The vast majority of 21st century AI workloads are based on gradient-based deterministic algorithms such as backpropagation. One of the key reasons for the dominance of determinist…
Overcoming Ambient Drift and Negative-Bias Temperature Instability in Foundry Carbon Nanotube Transistors
Andrew Yu, Tathagata Srimani, Max Shulaker
Back-end-of-line (BEOL) logic integration is emerging as a complementary scaling path to supplement front-end-of-line (FEOL) Silicon. Among various options for BEOL logic, Carbon N…
High Sensitivity Biosensor using Injection Locked Spin Torque Nano-Oscillators
Tathagata Srimani, Bibhas Manna, Anand Kumar Mukhopadhyay +2
With ever increasing research on magnetic nano systems it is shown to have great potential in the areas of magnetic storage, biosensing, magnetoresistive insulation etc. In the fie…