Quantum Brain
← Back to papers

Resource-efficient algorithm for estimating the trace of quantum state powers

Myeongjin Shin, Junseo Lee, Seungwoo Lee, Kabgyun Jeong·August 1, 2024·DOI: 10.22331/q-2025-08-27-1832
PhysicsComputer Science

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

Estimating the trace of quantum state powers, Tr(ρk), for k identical quantum states is a fundamental task with numerous applications in quantum information processing, including nonlinear function estimation of quantum states and entanglement detection. On near-term quantum devices, reducing the required quantum circuit depth, the number of multi-qubit quantum operations, and the copies of the quantum state needed for such computations is crucial. In this work, inspired by the Newton-Girard method, we significantly improve upon existing results by introducing an algorithm that requires only O(r~) qubits and O(r~) multi-qubit gates, where r~=min{rank(ρ),⌈ln⁡(2k/ϵ)⌉}. This approach is efficient, as it employs the r~-entangled copy measurement instead of the conventional k-entangled copy measurement, while asymptotically preserving the known sample complexity upper bound. Furthermore, we prove that estimating {Tr(ρi)}i=1r~ is sufficient to approximate Tr(ρk) even for large integers k>r~. This leads to a rank-dependent complexity for solving the problem, providing an efficient algorithm for low-rank quantum states while also improving existing methods when the rank is unknown or when the state is not low-rank. Building upon these advantages, we extend our algorithm to the estimation of Tr(Mρk) for arbitrary observables and Tr(ρkσl) for multiple quantum states.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.