811 citations · 5.2k across the 54 of their papers we have counts for
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Simulation Intelligence: Towards a New Generation of Scientific Methods
Alexander Lavin, David Krakauer, Hector Zenil +21
The original "Seven Motifs" set forth a roadmap of essential methods for the field of scientific computing, where a motif is an algorithmic method that captures a pattern of comput…
Onset of non-Gaussian quantum physics in pulsed squeezing with mesoscopic fields
Ryotatsu Yanagimoto, Edwin Ng, Atsushi Yamamura +6
We study the emergence of non-Gaussian quantum features in pulsed squeezed light generation with a mesoscopic number (i.e., dozens to hundreds) of pump photons. Due to the strong o…
Experimental error mitigation using linear rescaling for variational quantum eigensolving with up to 20 qubits
Eliott Rosenberg, Paul Ginsparg, Peter L. McMahon
Quantum computers have the potential to help solve a range of physics and chemistry problems, but noise in quantum hardware currently limits our ability to obtain accurate results…
Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection
Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli +1
Optimal MIMO detection has been one of the most challenging and computationally inefficient tasks in wireless systems. We show that the new analog computing techniques like Coheren…
An optical neural network using less than 1 photon per multiplication
Tianyu Wang, Shi-Yuan Ma, Logan G. Wright +3
Deep learning has rapidly become a widespread tool in both scientific and commercial endeavors. Milestones of deep learning exceeding human performance have been achieved for a gro…
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright, Tatsuhiro Onodera, Martin M. Stein +4
Deep neural networks have become a pervasive tool in science and engineering. However, modern deep neural networks' growing energy requirements now increasingly limit their scaling…