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researcher

John Wright

9 papers hereh-index 453 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author8

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • quant-ph8
  • cs.LG1
same name
  • John Wright — 31 papers, h 45
  • John Wright — 15 papers, h 16
  • John Wright — 7 papers, h 4
  • John Wright — 4 papers, h 2
  • John Wright — 3 papers, h 4
  • John Wright — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2025Show all

5 papers · 1 filter

quant-ph2025

Improved Lower Bounds for QAC0

Malvika Raj Joshi, Avishay Tal, Francisca Vasconcelos +1

In this work, we prove the strongest known lower bounds for QAC0, allowing polynomially many gates and ancillae. Our main results show that: (1) Depth-3 QAC0 circuits cannot…

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…

quant-ph2025

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 n copies of an unknown rank-r mixed state ρ∈Cd×d and asked to produce an estimator of ρ. In t…

quant-ph2025

Optimal lower bounds for quantum state tomography

Thilo Scharnhorst, Jack Spilecki, John Wright

We show that n=Ω(rd/ε2) copies are necessary to learn a rank r mixed state ρ∈Cd×d up to error ε in trace distance. This matches…

quant-ph2025

Haar random codes attain the quantum Hamming bound, approximately

Fermi Ma, Xinyu Tan, John Wright

We study the error correcting properties of Haar random codes, in which a K-dimensional code space C⊆CN is chosen at random from the Haar distr…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.