Generalized Probabilistic Approximate Optimization Algorithm
Nature Communications · 2026
A variational Monte Carlo framework that learns stochastic dynamics and connects them to probabilistic hardware.
Research / Publications
Learning to compute with randomness.
Four connected research threads. Open a paper to explore its complete story.
Google Scholar
Learning the sampler
Learning the dynamics of a sampler and learning the configurations it proposes.
Explore paper
Isingformer: Augmenting parallel tempering with learned proposals
arXiv · 2026 · Under review
Transformer-generated configurations augment parallel tempering with whole-system proposal moves.
Probabilistic algorithms for Ising machines from optimization to generative AI
Nature Reviews Electrical Engineering · 2026
A review connecting probabilistic algorithms, hardware constraints, optimization, and generative models.
Stochastic hardware
Connecting probabilistic algorithms to devices and reusable circuit architectures.
Probabilistic approximate optimization using single-photon avalanche diode arrays
npj Unconventional Computing · 2026 · In press
PAOA on a 64 × 64 single-photon avalanche diode array, with learning adapted to real device responses.
Configurable p-Neurons Using Modular p-Bits
ISCAS - IEEE International Symposium on Circuits and Systems · 2026
Modular p-bits support configurable probabilistic activation functions and shared stochastic resources.
Devices and dynamics
Statistical device models and the behavior of delayed physical systems.
Defect-Aware Extreme Device Scaling Limits of 2D Memristive Technologies
Research Square · 2025 · Under review
A bottom-up statistical framework links atomic defects to memristor yield, switching voltage, and scaling limits.
Scalability of h-BN Based Memristors: Yield and Variability Considerations
Silicon Nanoelectronics Workshop · 2023
An early study of the yield and variability tradeoffs in scaling h-BN memristors.
Energy Transfer and Coherence in Coupled Oscillators with Delayed Coupling
Physica Scripta · 2022
Delayed classical oscillators provide a model for energy exchange, coherence, and stability.
A Comparison of Numerical Solvers for the Delay Eigenvalue Problem of Coupled Oscillators
Journal of Physics: Conference Series · 2021
A comparison of numerical methods for the eigenvalues of delayed coupled oscillators.
Sensing and estimation
Energy-efficient data collection and adaptive statistical estimation.
Energy-Efficient Aerial Data Aggregation for IoT: From Prototyping to Large-Scale Implementation
IEEE Transactions on Instrumentation and Measurement · 2024
From an implemented wake-up-radio prototype to reliability and large-scale aerial IoT analysis.
Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR
IEEE International Black Sea Conference on Communications and Networking · 2023
A working prototype uses a UAV wake-up call to activate low-power IoT sensing and data collection.
An Adaptive Regularization Approach to Portfolio Optimization
ICASSP - IEEE International Conference on Acoustics, Speech and Signal Processing · 2021
Adaptive regularization improves covariance-based minimum-variance portfolio estimation under noisy observations.