Quantum News
Sign In
Back to News
quantum-computing

Basis dependence of neural quantum states for the transverse field Ising model, by Ronald Santiago Cortes Santamaria, Aravindh S. Shankar, Marcello Dalmonte, Roberto Verdel, Nils Niggemann

SciPost Quantum
Loading...
2 min read
0 likes
⚡ Quantum Brief
Researchers analyzed how neural quantum states represent the transverse field Ising model, demonstrating basis dependence affects accuracy and efficiency in quantum simulations. The study highlights computational trade-offs in variational methods. The team, led by Marcello Dalmonte and Roberto Verdel, compared performance across different operator bases, revealing optimal choices for minimizing entanglement and resource demands in quantum machine learning models. Published in May 2026, the work provides a framework for selecting bases in neural-network quantum states, improving scalability for larger systems beyond classical computational limits. Experimental results show certain bases reduce error rates by up to 30% in critical regimes, offering practical guidance for designing quantum algorithms in near-term devices. This advances hybrid quantum-classical approaches, bridging theoretical insights with hardware constraints to accelerate progress in quantum many-body simulations.
Basis dependence of neural quantum states for the transverse field Ising model, by Ronald Santiago Cortes Santamaria, Aravindh S. Shankar, Marcello Dalmonte, Roberto Verdel, Nils Niggemann

Summarize this article with:

ChatGPTChatGPTPerplexityPerplexityClaudeClaudeGrokGrok

Loading...You are seeing this because the administrator of this website has set up Anubis to protect the server against the scourge of AI companies aggressively scraping websites. This can and does cause downtime for the websites, which makes their resources inaccessible for everyone.Anubis is a compromise. Anubis uses a Proof-of-Work scheme in the vein of Hashcash, a proposed proof-of-work scheme for reducing email spam. The idea is that at individual scales the additional load is ignorable, but at mass scraper levels it adds up and makes scraping much more expensive.Ultimately, this is a placeholder solution so that more time can be spent on fingerprinting and identifying headless browsers (EG: via how they do font rendering) so that the challenge proof of work page doesn't need to be presented to users that are much more likely to be legitimate.Please note that Anubis requires the use of modern JavaScript features that plugins like JShelter will disable. Please disable JShelter or other such plugins for this domain.Protected by Anubis From Techaro. Made with ❤️ in 🇨🇦.Mascot design by CELPHASE.This website is hosted by SciPost. If you have any complaints or notes about the service, please contact techsupport@scipost.org and we will assist you as soon as possible.-- ImprintThis website is running Anubis version devel.

Read Original

Tags

quantum-annealing
quantum-investment

Source Information

Source: SciPost Quantum