analiza aiqbench
This paper presents a gate-efficient implementation of the query-optimal algorithm for simulating general time-dependent Hamiltonians, significantly reducing circuit overhead while maintaining optimal query complexity. By utilizing an exact dyadic factorization technique, the authors achieve practical efficiency gains crucial for scaling quantum simulations of complex dynamical systems.
Gate-Efficient Implementation of the Query-Optimal Time-Dependent Hamiltonian Simulation
arXiv:2608.30629v1 Announce Type: new Abstract: The query-optimal algorithm of [CGWZ26] for general time-dependent Hamiltonian simulation uses $$ q = O\left( \alpha T + \frac{\log(1/\varepsilon)}{\log\left(e + \log(1/\varepsilon)/(\alpha T) \right)} \right) $$ queries to $\mathrm{HAM\mbox{-}T}$ within $\varepsilon$ error for a Lipschitz-continuous time-dependent Hamiltonian $H(t)$ on $[0,T]$ satisfying $\left\lVert H(t)\right\rVert\leq\alpha$. However, its direct circuit implementation incurs a substantially larger gate overhead. In this note, we give an implementation of the same algorithm that retains its optimal query complexity and uses $$ O\left[ q \left( a + \log\left(1 + \frac{T(\alpha + \beta T)}{\varepsilon} \right) \right) \right] $$ one- and two-qubit gates, where $a$ is the number of block-encoding ancilla qubits and $\beta$ is the Lipschitz constant of $H$. The main ingredient is an exact dyadic factorization of the ordered update product in the underlying one-query transducer.
Abstract:The query-optimal algorithm of [CGWZ26] for general time-dependent Hamiltonian simulation uses $$ q = O\left( \alpha T + \frac{\log(1/\varepsilon)}{\log\left(e + \log(1/\varepsilon)/(\alpha T) \right)} \right) $$ queries to $\mathrm{HAM\mbox{-}T}$ within $\varepsilon$ error for a Lipschitz-continuous time-dependent Hamiltonian $H(t)$ on $[0,T]$ satisfying $\left\lVert H(t)\right\rVert\leq\alpha$. However, its direct circuit implementation incurs a substantially larger gate overhead. In this note, we give an implementation of the same algorithm that retains its optimal query complexity and uses $$ O\left[ q \left( a + \log\left(1 + \frac{T(\alpha + \beta T)}{\varepsilon} \right) \right) \right] $$ one- and two-qubit gates, where $a$ is the number of block-encoding ancilla qubits and $\beta$ is the Lipschitz constant of $H$. The main ingredient is an exact dyadic factorization of the ordered update product in the underlying one-query transducer.
Quantum Physics (quant-ph); Data Structures and Algorithms (cs.DS)
arXiv:2608.30629 [quant-ph]
(or arXiv:2608.30629v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2608.30629 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 · 226 cuvinte
Subiecte conexe

Quantum simulation protocols match monolithic chip complexity
Quantum Zeitgeist · 14 oct. 2026

News
Quantum Computing Report · 7 iun. 2026

Researchers Simulate Complex Systems Efficiently Using Quantum Methods
Quantum Zeitgeist · 21 aug. 2026
Query-Optimal and Gate-Efficient Lindbladian Simulation
arXiv · 17 sept. 2026