Nanodevices have terrible properties for building Boolean logic systems: high defect rates,
high variability, high death rates, drift, and (for the most part) only two terminals. Economical …

Optimization problems are ubiquitous in scientific research, engineering, and daily lives.
However, solving a complex optimization problem often requires excessive computing …

Nanoscale resistive switching devices (memristive devices or memristors) have been
studied for a number of applications ranging from non-volatile memory, logic to …

With conventional transistor technologies reaching their limits, alternative computing
schemes based on novel technologies are currently gaining considerable interest. Notably …

Recent advances in quantum technology have led to the development and manufacturing of
experimental programmable quantum annealing optimizers that contain hundreds of …

This paper draws attention to a hardware system which can be engineered so that its
intrinsic physics is described by the generalized Ising model and can encode the solution to …

We explore the effectiveness of variational quantum circuits in simulating the ground states
of quantum many-body Hamiltonians. We show that generic high-depth circuits, performing …

Analogue in-memory computing using memristors could alleviate the performance
constraints imposed by digital von Neumann systems in data-intensive tasks. Conventional …

Bayesian networks (BNs) find widespread application in many real-world probabilistic
problems including diagnostics, forecasting, computer vision, etc. The basic computing …

Conventional neuro-computing architectures and artificial neural networks have often been
developed with no or loose connections to neuroscience. As a consequence, they have …