analiza aiqbench
This research proposes a theoretical framework for "quantum markets" where asset valuations rely on non-commuting operators and graph-theoretic bounds rather than classical probability. By modeling financial instruments as outcomes of nonlocal games like CHSH, the study explores potential advantages of quantum assets over traditional ones within a speculative future economy. While currently theoretical, these findings offer foundational insights for how quantum computing principles might redefine risk assessment and asset pricing in advanced financial systems.
Pricing of graph-based quantum portfolios from first principles
arXiv:2610.03279v1 Announce Type: new Abstract: A central topic in economics and finance is the valuation of strategic games and bets, of investments providing uncertain future cashflows, and of other asset-like structures and contracts. Often, such valuation involves a probabilistic model, random variables, and computing expectation values of complex payoffs. Extending beyond this classical framework, a scenario emerges where assets are non-commuting operators and the inherent uncertainty is described by quantum states. In this work, we combine such notions of quantum finance with a graph-theoretic framework and ideas from contextuality. We discuss exclusive quantum assets and introduce scenarios when holding such assets can provide advantages over holding classical assets. In particular, we consider a "quantum market" based on nonlocal games such as the CHSH game and demonstrate that this setting can function as a market with well-defined financial structures. We provide upper bounds on the fair prices of the quantum assets based on graph-theoretic quantities like the independence number and the Lov\'asz theta number. Our insights into markets of non-commuting assets help to elucidate what a financial system in a world filled with quantum technology could look like.
Abstract:A central topic in economics and finance is the valuation of strategic games and bets, of investments providing uncertain future cashflows, and of other asset-like structures and contracts. Often, such valuation involves a probabilistic model, random variables, and computing expectation values of complex payoffs. Extending beyond this classical framework, a scenario emerges where assets are non-commuting operators and the inherent uncertainty is described by quantum states. In this work, we combine such notions of quantum finance with a graph-theoretic framework and ideas from contextuality. We discuss exclusive quantum assets and introduce scenarios when holding such assets can provide advantages over holding classical assets. In particular, we consider a "quantum market" based on nonlocal games such as the CHSH game and demonstrate that this setting can function as a market with well-defined financial structures. We provide upper bounds on the fair prices of the quantum assets based on graph-theoretic quantities like the independence number and the Lovász theta number. Our insights into markets of non-commuting assets help to elucidate what a financial system in a world filled with quantum technology could look like.
arXiv:2610.03279 [quant-ph]
(or arXiv:2610.03279v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.03279 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 · 273 cuvinte
Subiecte conexe

Lattice-Based Cryptography Explained
Quantum Zeitgeist · 15 aug. 2026

Stock Market Today Highlights, Sept 2: Sensex ends 373 pts lower at 76, 570, Nifty below 24, 000; Asian Paints, HDFC Bank fall most
thehindubusinessline.com · 2 sept. 2026

Hegseth AutoWarCom: who builds it, what the money buys, and why its hardest problem after Minab is the record, not the model
livetradingnews.com · 2 oct. 2026

The AI Room at 3 Months: What It Called and What Comes Next, by Shayne Heffernan
livetradingnews.com · 17 oct. 2026