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Center for Nonlinear Studies |
Given copies of a quantum state ρ, a shadow tomography protocol aims to learn all expectation values from a fixed set of observables, to within a given precision ϵ. 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 ρ 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 G 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 G with bounded clique number. This coloring problem can be addressed using techniques from graph theory known as chi-boundedness. Using this framework we give the first triply efficient shadow tomography scheme for the set of local fermionic observables, which arise in a broad class of interacting fermionic systems in physics and chemistry. We also give a triply efficient scheme for the set of all n-qubit Pauli observables. Our protocols for these tasks use two-copy measurements, which is necessary: sample-efficient schemes are provably impossible using only single-copy measurements. Finally, we give a shadow tomography protocol that compresses an n-qubit quantum state into a poly(n)-sized classical representation, from which one can extract the expected value of any of the 4n Pauli observables in poly(n) time, up to a small constant error. This is joint work with Robbie King, Robin Kothari, and Ryan Babbush.
Bio: David Gosset is a quantum computer scientist who is interested in quantum algorithms and complexity theory. He has worked on theoretical questions relevant to small quantum computers, including understanding the computational power of constant-depth quantum circuits and the limits of classical simulation algorithms. He has also investigated the computational power and complexity of quantum many-body systems, and the application of physics-inspired tools from these areas to quantum computer science.
Host: Sam Slezak, CCS-3