Jackson Morris

activity

20242026

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Showing cs.CCShow all

4 papers · 1 filter

cs.CC2026

On the Advantage of Adaptivity for Sampling with Cell Probes

Farzan Byramji, Daniel M. Kane, Jackson Morris +1

We construct an explicit distribution $D$ over ${0, 1}^{N}$ that exhibits an essentially optimal separation between adaptive and non-adaptive cell-probe sampling. The distr…

cs.CC2026

Hard-to-Sample Distributions from Robust Extractors

Farzan Byramji, Daniel M. Kane, Jackson Morris +1

We provide a unified method for constructing explicit distributions which are difficult for restricted models of computation to generate. Our constructions are based on a new notio…

cs.CC2026

$QAC^{0}$ Contains $TC^{0}$ (with Many Copies of the Input)

Daniel Grier, Jackson Morris, Kewen Wu

$QAC^{0}$ is the class of constant-depth polynomial-size quantum circuits constructed from arbitrary single-qubit gates and generalized Toffoli gates. It is arguably the sma…

cs.CC2025

Quantum Advantage from Sampling Shallow Circuits: Beyond Hardness of Marginals

Daniel Grier, Daniel M. Kane, Jackson Morris +2

We construct a family of distributions ${D_{n}}_{n}$ with $D_{n}$ over ${0, 1}^{n}$ and a family of depth- $7$ quantum circuits ${C_{n}}_{n}$ such that $D_{n}$ …

On the Advantage of Adaptivity for Sampling with Cell Probes

Hard-to-Sample Distributions from Robust Extractors

QAC0 Contains TC0 (with Many Copies of the Input)

Quantum Advantage from Sampling Shallow Circuits: Beyond Hardness of Marginals

$QAC^{0}$ Contains $TC^{0}$ (with Many Copies of the Input)