7 papers · 1 filter
Pretty good shadow tomography
Sabee Grewal, Angelos Pelecanos, Jack Spilecki +2
We give a shadow tomography algorithm that uses copies of the input state. Specifically, given a quantum state and observables $O_1,\ldot…
Optimal cloning of mixed states
Marco Fanizza, Dmitry Grinko, Thilo Scharnhorst +1
We consider the problem of approximate cloning of quantum states: given copies of an unknown state , prepare an -copy state with high fidel…
The Keyl-Werner algorithm is not optimal for spectrum estimation
Angelos Pelecanos, Jack Spilecki, Ewin Tang +1
We give an algorithm which, given copies of , estimates the eigenvalues of to constant error in total variation distance. Thus, we…
Nonasymptotic bounds for quantum purity amplification
Thilo Scharnhorst, Jack Spilecki, John Wright
In quantum purity amplification, one is given copies of a noisy quantum state and asked to prepare copies of its principal eigenstate $|v_d\r…
Mixed state tomography reduces to pure state tomography
Angelos Pelecanos, Jack Spilecki, Ewin Tang +1
A longstanding belief in quantum tomography is that estimating a mixed state is far harder than estimating a pure state. This is borne out in the mathematics, where mixed state alg…
The debiased Keyl's algorithm: a new unbiased estimator for full state tomography
Angelos Pelecanos, Jack Spilecki, John Wright
In the problem of quantum state tomography, one is given copies of an unknown rank- mixed state and asked to produce an estimator of . In t…
Optimal lower bounds for quantum state tomography
Thilo Scharnhorst, Jack Spilecki, John Wright
We show that copies are necessary to learn a rank mixed state up to error in trace distance. This matches…