Abstract is missing.
- Reversible Computing with Fast, Fully Static, Fully Adiabatic CMOSMichael P. Frank, Robert W. Brocato, Brian D. Tierney, Nancy A. Missert, Alexander H. Hsia. 1-8 [doi]
- Adiabatic Flip-Flop and SRAM Design for an Adiabatic Reversible MicroprocessorRene Celis-Cordova, Alexei O. Orlov, Gregory L. Snider, Tian Lu, Jason M. Kulick. 9-15 [doi]
- Why Reliability for Computing Needs RethinkingValeriu Beiu, Vlad-Florin. Dragoi, Roxana-Mariana Beiu. 16-25 [doi]
- Alien vs. Predator: Brain Inspired Sparse Coding Optimization on Neuromorphic and Quantum DevicesKyle Henke, Ben Migliori, Garrett T. Kenyon. 26-33 [doi]
- Advanced unembedding techniques for quantum annealersElijah Pelofske, Georg Hahn, Hristo Djidjev. 34-41 [doi]
- Adiabatic Circuits for Quantum Computer ControlErik P. DeBenedictis. 42-49 [doi]
- Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOAChristoph Roch, Alexander Impertro, Thomy Phan, Thomas Gabor, Sebastian Feld, Claudia Linnhoff-Popien. 50-57 [doi]
- Tucker-1 Boolean Tensor Factorization with Quantum AnnealersDaniel O'Malley, Hristo N. Djidjev, Boian S. Alexandrov. 58-65 [doi]
- Understanding Quantum Control Processor Capabilities and Limitations through Circuit CharacterizationAnastasiia Butko, George Michelogiannakis, Samuel Williams, Costin Iancu, David Donofrio, John Shalf, Jonathan Carter, Irfan Siddiqi. 66-75 [doi]
- Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial OptimizationSuhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan. 76-79 [doi]
- Rebooting Neuromorphic Design - A Complexity Engineering ApproachNatesh Ganesh. 80-89 [doi]
- Design Principles of Large-Scale Neuromorphic Systems Centered on High Bandwidth MemoryBruno U. Pedroni, Stephen R. Deiss, Nishant Mysore, Gert Cauwenberghs. 90-94 [doi]
- An Optical Accelerator for Deep Neural Network Based on Integrated NanophotonicsJun Shiomi, Tohru Ishihara, Hidetoshi Onodera, Akihiko Shinya, Masaya Notomi. 95-101 [doi]
- Harnessing adaptive dynamics in neuro-memristive nanowire networks for transfer learningRuomin Zhu, Joel Hochstetter, Alon Loeffler, Adrian Diaz-Alvarez, Adam Z. Stieg, James K. Gimzewski, Tomonobu Nakayama, Zdenka Kuncic. 102-106 [doi]
- Training Deep Neural Networks with Constrained Learning ParametersPrasanna Date, Christopher D. Carothers, John E. Mitchell 0001, James A. Hendler, Malik Magdon-Ismail. 107-115 [doi]
- Reducing the Size of Spiking Convolutional Neural Networks by Trading Time for SpaceJames S. Plank, Jiajia Zhao, Brent Hurst. 116-125 [doi]
- Accelerating Simulation-based Inference with Emerging AI HardwareSourabh Kulkarni, Alexander Tsyplikhin, Mario Michael Krell, Csaba Andras Moritz. 126-132 [doi]
- Virtualizing Analog Mesh Computers: The Case of a Photonic PDE Solving AcceleratorJeff Anderson, Engin Kayraklioglu, Hamid Reza Imani, Mario Miscuglio, Volker J. Sorger, Tarek A. El-Ghazawi. 133-142 [doi]