DQC1-completeness of normalized trace estimation for functions of log-local Hamiltonians
arXiv QuantumArchived Apr 03, 2026✓ Full text saved
arXiv:2604.01519v1 Announce Type: new Abstract: We study the computational complexity of estimating the normalized trace $2^{-n}Tr[f(A)]$ for a log-local Hamiltonian $A$ acting on $n$ qubits. This problem arises naturally in the DQC1 model, yet its complexity is only understood for a limited class of functions $f(x)$. We show that if $f(x)$ is a continuous function with approximate degree $\Omega({\rm poly}(n))$, then estimating $2^{-n}Tr[f(A)]$ up to constant additive error is DQC1-complete, un
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Quantum Physics
[Submitted on 2 Apr 2026]
DQC1-completeness of normalized trace estimation for functions of log-local Hamiltonians
Zhengfeng Ji, Tongyang Li, Changpeng Shao, Xinzhao Wang, Yuxin Zhang
We study the computational complexity of estimating the normalized trace 2^{-n}Tr[f(A)] for a log-local Hamiltonian A acting on n qubits. This problem arises naturally in the DQC1 model, yet its complexity is only understood for a limited class of functions f(x).
We show that if f(x) is a continuous function with approximate degree \Omega({\rm poly}(n)), then estimating 2^{-n}Tr[f(A)] up to constant additive error is DQC1-complete, under a technical condition on the polynomial approximation error of f(x). This condition holds for a broad class of functions, including exponentials, trigonometric functions, logarithms, and inverse-type functions. We further prove that when A is sparse, the classical query complexity of this problem is exponential in the approximate degree, assuming a conjectured lower bound for a trace variant of the k-Forrelation problem in the DQC1 query model. Together, these results identify the approximate degree as the key parameter governing the complexity of normalized trace estimation: it characterizes both the quantum complexity (via efficient DQC1 algorithms) and, conditionally, the classical hardness, yielding an exponential quantum-classical separation. Our proof develops a unified framework that cleanly combines circuit-to-Hamiltonian constructions, periodic Jacobi operators, and tools from polynomial approximation theory, including the Chebyshev equioscillation theorem.
Comments: 22 pages
Subjects: Quantum Physics (quant-ph); Computational Complexity (cs.CC)
Cite as: arXiv:2604.01519 [quant-ph]
(or arXiv:2604.01519v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.01519
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Submission history
From: Changpeng Shao [view email]
[v1] Thu, 2 Apr 2026 01:15:12 UTC (43 KB)
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