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From the 1 of 10 linked papers with an AI index.

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10 papers

math.CV2026

Proof of a Conjectured Ramanujan Type Master Theorem for Powers of the Cosecant

Zachary P. Bradshaw

We prove a conjecture of Bradshaw and Atale asserting a Ramanujan type master theorem for the kernel , whose poles at the non-positive integers have order . Th…

quant-ph2026

Inherent interpretability provides inherent value in quantum machine learning

Kaitlin Gili, Zachary P. Bradshaw

The paper argues that the intrinsic mathematical structure of quantum machine learning models can provide inherent interpretability, offering value beyond raw performance, and illu…

cs.LG2026

What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry

Zachary P. Bradshaw

We develop a framework for the information discarded by machine learning models whose inputs carry a Lie group action. Given a representation of a Lie group on a space

quant-ph2026

Approximate Error Correction for Quantum Simulations of SU(2) Lattice Gauge Theories

Zachary P. Bradshaw

We present a protocol for actively suppressing Gauss law violations in quantum simulations of SU(2) lattice gauge theory. Mid-circuit measurements extract a syndrome char…

quant-ph2026

Symmetry-Based Quantum Codes Beyond the Pauli Group

Zachary P. Bradshaw, Margarite L. LaBorde, Dillon Montero

Typical stabilizer codes aim to solve the general problem of fault-tolerance without regard for the structure of a specific system. By incorporating a broader representation-theore…

quant-ph2025

Introduction to Quantum Error Correction with Stabilizer Codes

Zachary P. Bradshaw, Jeffrey J. Dale, Ethan N. Evans

We give an introduction to the theory of quantum error correction using stabilizer codes that is geared towards the working computer scientists and mathematicians with an interest…