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ICRC 2022: San Francisco, CA, USA
- IEEE International Conference on Rebooting Computing, ICRC 2022, San Francisco, CA, USA, December 8-9, 2022. IEEE 2022, ISBN 979-8-3503-4709-8
- Sebastiano Corli, Enrico Prati:
An efficient algebraic representation for graph states for measurement-based quantum computing. 1-6 - Joshua E. Kim, T. Patrick Xiao, Christopher H. Bennett, Donald Wilson, Matthew Spear, Maximilian Siath, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella:
Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays. 7-12 - Mark Plagge, Ben Feinberg, John McFarland, Fred Rothganger, Sapan Agarwal, Amro Awad, Clayton Hughes, Suma George Cardwell:
ATHENA: Enabling Codesign for Next-Generation AI/ML Architectures. 13-23 - Angel Yanguas-Gil, Sandeep Madireddy:
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures. 24-29 - Michael P. Frank, Rupert M. Lewis:
Ballistic Asynchronous Reversible Computing in Superconducting Circuits. 30-35 - Muhammad Kashif, Saif Al-Kuwari:
Demonstrating Quantum Advantage in Hybrid Quantum Neural Networks for Model Capacity. 36-44 - Sri Krishna Vadlamani, Tianyao Patrick Xiao, Eli Yablonovitch:
Equivalence of Coupled Parametric Oscillator Dynamics to Lagrange Multiplier Optimization. 45-50 - Elijah Pelofske, Andreas Bärtschi, Stephan J. Eidenbenz:
Optimized Telecloning Circuits: Theory and Practice of Nine NISQ Clones. 51-56 - Suma George Cardwell, Catherine D. Schuman, J. Darby Smith, Karan Patel, Jaesuk Kwon, Samuel Liu, Christopher Allemang, Shashank Misra, Jean Anne C. Incorvia, James B. Aimone:
Probabilistic Neural Circuits leveraging AI-Enhanced Codesign for Random Number Generation. 57-65 - Gokul Subramanian Ravi, Jonathan M. Baker, Kaitlin N. Smith, Nathan Earnest, Ali Javadi-Abhari, Frederic T. Chong:
Quancorde: Boosting fidelity with Quantum Canary Ordered Diverse Ensembles. 66-77 - Erik P. DeBenedictis, Elie K. Track:
Rebooting Quantum Computing. 78-83 - Yan Fang, Ashwin Sanjay Lele:
Solving Quadratic Unconstrained Binary Optimization with Collaborative Spiking Neural Networks. 84-88 - Saad Saleh, Anouk S. Goossens, Tamalika Banerjee, Boris Koldehofe:
TCAmMCogniGron: Energy Efficient Memristor-Based TCAM for Match-Action Processing. 89-99 - Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. 100-105
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