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quant-ph2026

Joint Mitigation of Algorithmic and Physical Errors in Noisy Hamiltonian Simulation

Shuo Zhou, Xinzhao Wang, Ruiqi Zhang +4

Product-formula Hamiltonian simulation is naturally suited to near-term quantum processors, but its accuracy is set by two competing errors: finite-step Trotter bias and physical h…

quant-ph2026

Gate-Efficient Implementation of the Query-Optimal Time-Dependent Hamiltonian Simulation

Boyang Chen, Minbo Gao, Zhengfeng Ji +3

The query-optimal algorithm of [CGWZ26] for general time-dependent Hamiltonian simulation uses $$ q = O\left( αT + \frac{\log(1/\varepsilon)}{\log\left(e + \log(1/\varepsilon)/(αT)…

quant-ph2026

Time-Dependent Hamiltonian Simulation with Optimal Query Complexity

Boyang Chen, Minbo Gao, Xinzhao Wang +1

We give a query-optimal algorithm for simulating a general -qubit time-dependent Hamiltonian on , assuming that is Lipschitz continuous and . In…

quant-ph2026

Trotter error compensation with polylogarithmic precision and nested-commutator scaling without ancillas

Xinzhao Wang, Shuo Zhou, Ziruo Wang +5

Product formulas are among the most practical approaches to Hamiltonian simulation, requiring no ancillary qubits and exhibiting error bounds governed by nested commutators rather…

quant-ph2026

Quantum-classical crossover in fault-tolerant quantum dynamics simulation

Jinzhao Sun, Bozhen Zhou, Jue Xu +28

While quantum computers promise to solve classically intractable problems, identifying the point at which fault-tolerant quantum computation outperforms the best classical algorith…

quant-ph2026

Lindbladian Simulation with Commutator Bounds

Xinzhao Wang, Shuo Zhou, Xiaoyang Wang +3

Trotter decomposition provides a simple approach to simulating open quantum systems by decomposing the Lindbladian into a sum of individual terms. While it is established that Trot…