Papers
Topics
Authors
Recent
AI Research Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 86 tok/s
Gemini 2.5 Pro 56 tok/s Pro
GPT-5 Medium 31 tok/s Pro
GPT-5 High 33 tok/s Pro
GPT-4o 102 tok/s Pro
Kimi K2 202 tok/s Pro
GPT OSS 120B 467 tok/s Pro
Claude Sonnet 4 37 tok/s Pro
2000 character limit reached

Beyond Boson Sampling: Higher Spin Sampling as a Practical Path to Quantum Supremacy (2505.07312v1)

Published 12 May 2025 in quant-ph

Abstract: Since the dawn of quantum computation science, a range of quantum algorithms have been proposed, yet few have experimentally demonstrated a definitive quantum advantage. Shor's algorithm, while renowned, has not been realized at a scale to outperform classical methods. In contrast, Fock-state boson sampling has been theoretically established as a means of achieving quantum supremacy. However, most existing experimental realizations of boson sampling to date have been based on Gaussian boson sampling, in which the input states consist of squeezed states of light. In this work, we first introduce spin sampling for arbitrary spin-$S$ states as a practical path to quantum supremacy. We identified a quasi-linear scaling relation between the number of sites $m$ and the number of spins $n$ as $m\sim n{1+\epsilon}$, where $\epsilon=3/(2S)$ is inversely proportional to the spin quantum number. This suggests that, within a spin system, an equivalent Fock-state boson sampling task in the linear mode region, characterized by $m\sim \Omega(n{1+\epsilon})$, is experimentally feasible with reduced resource requirements.

Summary

We haven't generated a summary for this paper yet.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube