analiza aiqbench
QuantumFCS.jl introduces a specialized open-source Julia package designed for efficient numerical calculations in full-counting statistics within open quantum systems. By implementing recursive cumulant algorithms with flexible solver backends, it significantly accelerates the analysis of current fluctuations and thermodynamic uncertainty relations compared to existing methods. This tool directly aids researchers working on quantum transport, optics, and circuit-QED by providing robust computational frameworks for complex models near phase transitions.
QuantumFCS.jl: Efficient Full-Counting Statistics for Open Quantum Systems
arXiv:2607.24429v1 Announce Type: new Abstract: Full-counting statistics (FCS) provides a systematic framework for characterising current fluctuations in quantum transport, quantum optics, and open quantum systems. We introduce QuantumFCS.jl, an open-source Julia package for efficient and flexible numerical FCS calculations. The package defines currents through monitored jump operators and weights, allowing particle, electric, and heat currents to be treated within the same workflow. It implements a recursive cumulant algorithm with dense, sparse, and iterative solver backends, making it suitable for models that are challenging for direct dense methods. We demonstrate the package on photon counting in a driven-dissipative Jaynes-Cummings system near the blockade-breakdown phase transition and on heat-current fluctuations in a non-linear circuit-QED heat engine. These examples show how higher cumulants reveal intermittency between bright and dim emission, antibunching, and provide probes of thermodynamic uncertainty relations. Benchmarks against an existing FCS implementation show substantial speed-ups.
Title:QuantumFCS.jl: Efficient Full-Counting Statistics for Open Quantum Systems
Abstract:Full-counting statistics (FCS) provides a systematic framework for characterising current fluctuations in quantum transport, quantum optics, and open quantum systems. We introduce this http URL, an open-source Julia package for efficient and flexible numerical FCS calculations. The package defines currents through monitored jump operators and weights, allowing particle, electric, and heat currents to be treated within the same workflow. It implements a recursive cumulant algorithm with dense, sparse, and iterative solver backends, making it suitable for models that are challenging for direct dense methods. We demonstrate the package on photon counting in a driven-dissipative Jaynes-Cummings system near the blockade-breakdown phase transition and on heat-current fluctuations in a non-linear circuit-QED heat engine. These examples show how higher cumulants reveal intermittency between bright and dim emission, antibunching, and provide probes of thermodynamic uncertainty relations. Benchmarks against an existing FCS implementation show substantial speed-ups.
arXiv:2607.24429 [quant-ph]
(or arXiv:2607.24429v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.24429 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Text integral sub licența deschisă a publicației · 240 cuvinte
Subiecte conexe

AI and Quantum Computing Briefing
livetradingnews.com · 4 aug. 2026
Efficient evaluation of fundamental sensitivity limits and full counting statistics for continuously monitored Gaussian quantum systems
arXiv · 8 oct. 2026

Understanding the US – China AI & Quantum Landscape
livetradingnews.com · 23 iul. 2026
Framework for fluctuating times and counting observables in stochastic excursions
arXiv · 20 aug. 2026