1 citations · 1 across the 3 of their papers we have counts for
5 papers
On the Origin of Algorithmic Progress in AI
Hans Gundlach, Alex Fogelson, Jayson Lynch +4
Algorithms have been estimated to increase AI training FLOP efficiency by a factor of 22,000 between 2012 and 2023 [Ho et al., 2024]. Running small-scale ablation experiments on ke…
Quantum Deep Learning Still Needs a Quantum Leap
Hans Gundlach, Hrvoje Kukina, Jayson Lynch +1
Quantum computing technology is advancing rapidly. Yet, even accounting for these trends, a quantum leap would be needed for quantum computers to meaningfully impact deep learning…
Introducing the Quantum Economic Advantage Online Calculator
Frederick Mejia, Hans Gundlach, Jayson Lynch +5
Developing a systematic view of where quantum computers will outperform classical ones is important for researchers, policy makers and business leaders. But developing such a view…
Quantum Advantage in Computational Chemistry?
Hans Gundlach, Keeper Sharkey, Jayson Lynch +8
For decades, computational chemistry has been posited as one of the areas in which quantum computing would revolutionize. However, the algorithmic advantages that fault-tolerant qu…
Meek Models Shall Inherit the Earth
Hans Gundlach, Jayson Lynch, Neil Thompson
The past decade has seen incredible scaling of AI systems by a few companies, leading to inequality in AI model performance. This paper argues that, contrary to prevailing intuitio…