2.1k citations
- Stanford UniversityUS42 papers
- Loughborough UniversityGB29 papers
- Hewlett-Packard (United Kingdom)GB18 papers
- University of California, BerkeleyUS15 papers
- University of California, Santa BarbaraUS15 papers
- Bristol Laboratories (United Kingdom)GB13 papers
- Massachusetts Institute of TechnologyUS13 papers
- Lawrence Berkeley National LaboratoryUS12 papers
- National Institute of InformaticsJP12 papers
- Universidad Autónoma de MadridES12 papers
- Hewlett Packard Enterprise (United States)US10 papers
- The University of MelbourneAU10 papers
359 papers
EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI
Hao Kong, Di Liu, Shuo Huai +5
Convolutional neural networks (CNNs) have demonstrated encouraging results in image classification tasks. However, the prohibitive computational cost of CNNs hinders the deployment…
Emerging Non-Volatile Opto-electronic Resistive Memories for Next-Generation Photonic Integrated Circuits
Santosh Kumar, Mukesh Kumar, Eunso Shin +2
Photonic integrated circuits have emerged as a powerful platform for high speed communication, sensing, and information processing due to their large bandwidth, low latency, and in…
Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers
Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi +12
Recent demonstrations on specialized benchmarks have reignited excitement for quantum computers, yet whether they can deliver an advantage for practical real-world problems remains…
Solving Boolean satisfiability problems with resistive content addressable memories
Giacomo Pedretti, Fabian Böhm, Tinish Bhattacharya +15
Solving optimization problems is a highly demanding workload requiring high-performance computing systems. Optimization solvers are usually difficult to parallelize in conventional…
Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines
Anna Maria Dziubyna, Tomasz Śmierzchalski, Bartłomiej Gardas +2
Optimization problems pose challenges across various fields. In recent years, quantum annealers have emerged as a promising platform for tackling such challenges. To provide a new…
How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits
Masoud Mohseni, Artur Scherer, K. Grace Johnson +48
In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become po…