Quantum channel tomography: optimal bounds and a Heisenberg-to-classical phase transition
Kean Chen, Filippo Girardi, Aadil Oufkir, Nengkun Yu, Zhicheng Zhang

TL;DR
This paper investigates the optimal number of queries needed for quantum channel tomography, revealing a phase transition from quantum to classical scaling depending on the dilation rate parameter.
Contribution
It identifies the dilation rate as a key parameter and characterizes the distinct query complexity regimes, uncovering a Heisenberg-to-classical phase transition.
Findings
Query complexity scales as 1/ε in the boundary regime.
Query complexity scales as 1/ε^2 in the away-from-boundary regime.
Discovered a sharp phase transition in query complexity at τ=1.
Abstract
How many black-box queries to a quantum channel are needed to learn its full classical description? This question lies at the heart of quantum channel tomography (also known as quantum process tomography), a fundamental task in the characterization and validation of quantum hardware. Despite extensive prior work, the optimal query complexity for quantum channel tomography is far from fully understood. In this paper, we study tomography of an unknown quantum channel with input dimension , output dimension , and Kraus rank at most , to within error . We identify the dilation rate (which always satisfies due to the trace preservation of quantum channels) as a key parameter, and establish that the optimal query complexity of channel tomography exhibits distinct scaling laws across three regimes of . - In the boundary…
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