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Found 5 papers, 1 papers with code
Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
The xMFTs are used to estimate the averages and correlations during the positive phase of the contrastive divergence (CD) algorithm and our custom-designed p-computer is used to estimate the averages and correlations in the negative phase.
All-to-all reconfigurability with sparse Ising machines: the XORSAT challenge with p-bits
The 3R3X problem has a glassy energy landscape and it has recently been used to benchmark various IMs and other solvers.
Machine Learning Quantum Systems with Magnetic p-bits
The slowing down of Moore's Law has led to a crisis as the computing workloads of Artificial Intelligence (AI) algorithms continue skyrocketing.
Training Deep Boltzmann Networks with Sparse Ising Machines
These results demonstrate the potential of using Ising machines for traditionally hard-to-train deep generative Boltzmann networks, with further possible improvement in nanodevice-based realizations.
A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms
The transistor celebrated its 75${}^\text{th}$ birthday in 2022.
