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From the 1 of 7 linked papers with an AI index.

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7 papers

quant-ph2026

The Keyl-Werner algorithm is not optimal for spectrum estimation

Angelos Pelecanos, Jack Spilecki, Ewin Tang +1

The paper presents a new algorithm that estimates the eigenvalues of a quantum state using fewer copies than the traditional Keyl‑Werner method, achieving constant error with O(d^2…

quant-ph2026

Learning the structure of open quantum systems

Laura Lewis, Ewin Tang, John Wright

We design an algorithm for learning the coefficients of an -qubit constant-local Lindbladian to error with total evolution time,…

quant-ph2026

Conjugate queries can help

Ewin Tang, John Wright, Mark Zhandry

We give a natural problem over input quantum oracles which cannot be solved with exponentially many black-box queries to and , but which can be solved with const…

quant-ph2026

Are controlled unitaries helpful?

Ewin Tang, John Wright

Many quantum algorithms, to compute some property of a unitary , require access not just to , but to , the unitary with a control qubit. We show that having access to $cU…

quant-ph2026

Amplitude amplification and estimation require inverses

Ewin Tang, John Wright

We prove that the generic quantum speedups for brute-force search and counting only hold when the process we apply them to can be efficiently inverted. The algorithms speeding up t…

quant-ph2025

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…