Triply efficient shadow tomography
Robbie King, David Gosset, Robin Kothari, Ryan Babbush

TL;DR
This paper introduces a new framework for triply efficient shadow tomography using two-copy measurements, enabling efficient learning of local fermionic and Pauli observables, and state compression for quantum systems.
Contribution
It presents the first triply efficient shadow tomography scheme for local fermionic observables and all Pauli observables, utilizing a novel graph-theoretic approach with two-copy measurements.
Findings
First triply efficient scheme for fermionic observables
Efficient protocol for all n-qubit Pauli observables
State compression into polynomial classical representation
Abstract
Given copies of a quantum state , a shadow tomography protocol aims to learn all expectation values from a fixed set of observables, to within a given precision . We say that a shadow tomography protocol is triply efficient if it is sample- and time-efficient, and only employs measurements that entangle a constant number of copies of at a time. The classical shadows protocol based on random single-copy measurements is triply efficient for the set of local Pauli observables. This and other protocols based on random single-copy Clifford measurements can be understood as arising from fractional colorings of a graph that encodes the commutation structure of the set of observables. Here we describe a framework for two-copy shadow tomography that uses an initial round of Bell measurements to reduce to a fractional coloring problem in an induced subgraph of with…
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Taxonomy
TopicsDigital Radiography and Breast Imaging · Computer Graphics and Visualization Techniques · Medical Imaging Techniques and Applications
