aiqbench analysis
This research extends Nielsen's geometric framework for quantum complexity by incorporating a hierarchy of penalties based on non-locality, rather than relying on a single cost factor. The study derives modified dynamical equations and demonstrates how distinct non-local sectors generate multiple families of conjugate points in many-body systems like SYK models. For a technical audience, the key takeaway is that refining the penalty structure offers a more realistic description of complexity growth and geodesic optimality breakdown in chaotic quantum regimes.
Nielsen complexity with multiple cost factors
arXiv:2606.02817v1 Announce Type: new Abstract: We investigate Nielsen's geometric approach to quantum complexity in the presence of multiple cost factors, extending the standard framework where a single penalty distinguishes easy from hard directions of the group manifold. By introducing a hierarchy of penalties associated with different degrees of non-locality, we develop a generalized right-invariant complexity geometry and analyze its implications for geodesic evolution. We derive the modified Euler-Arnold and Jacobi equations and study how multiple cost factors reshape the structure and scaling of conjugate points, where geodesic optimality breaks down. The formalism is illustrated in two settings: a single-qubit system with two cost factors, where we derive approximate analytic solutions for the complexity growth and its dependence on penalty hierarchies, and SYK-type models, where we analyze both free and chaotic regimes. In these many-body systems, we show that distinct non-local sectors generate multiple families of conjugate points whose occurrence depends on both the cost hierarchy and the system size. Our results highlight how refining the penalty structure provides a richer and more realistic description of quantum complexity and its dynamical behavior.
Abstract:We investigate Nielsen's geometric approach to quantum complexity in the presence of multiple cost factors, extending the standard framework where a single penalty distinguishes easy from hard directions of the group manifold. By introducing a hierarchy of penalties associated with different degrees of non-locality, we develop a generalized right-invariant complexity geometry and analyze its implications for geodesic evolution. We derive the modified Euler-Arnold and Jacobi equations and study how multiple cost factors reshape the structure and scaling of conjugate points, where geodesic optimality breaks down. The formalism is illustrated in two settings: a single-qubit system with two cost factors, where we derive approximate analytic solutions for the complexity growth and its dependence on penalty hierarchies, and SYK-type models, where we analyze both free and chaotic regimes. In these many-body systems, we show that distinct non-local sectors generate multiple families of conjugate points whose occurrence depends on both the cost hierarchy and the system size. Our results highlight how refining the penalty structure provides a richer and more realistic description of quantum complexity and its dynamical behavior.
arXiv:2606.02817 [quant-ph]
(or arXiv:2606.02817v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2606.02817 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.
Full text under the publisher's open licence · 267 words
Related coverage
Nielsen complexity with multiple cost factors
arXiv · Oct 8, 2026

Game Design Creativity evals
LessWrong · Oct 12, 2026

Lattice-Based Cryptography Explained
Quantum Zeitgeist · Aug 15, 2026

Presentation: Engineering AI for Creativity and Curiosity on Mobile
InfoQ · Jul 21, 2026