quant-ph · 2026-10-06 · No. 135

Quantum Physics, 2026-10-06.

4 new papers in quant-ph. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

4 entries
  1. 01

    Finding Gaussian Structure in Bosonic States

    Alvan Arulandu, Sitan Chen, Ziyun Chen, Jerry Li, Eric Ma

    quant-ph · cs.DS · cs.LG · math-ph

    We study agnostic tomography of pure bosonic Gaussian states: given copies of an arbitrary $n$-mode bosonic state $ρ$, the goal is to output a pure Gaussian state whose infidelity with $ρ$ is at most $\mathrm{opt} + ε$, where $\mathrm{opt}$ is the minimum infidelity achievable by any pure Gaussian state. We give efficient protocols achieving this in both the high and low fidelity regimes. When $\mathrm{opt}$ is below some universal constant,...

    arxiv.org/abs/2610.06810 · PDF

  2. 02

    Out-of-control Hamiltonian Learning

    Weiyuan Gong, Muzhou Ma, Sitan Chen, Jordan Cotler, Hsin-Yuan Huang

    quant-ph · cs.IT · cs.LG · physics.atom-ph

    Learning the Hamiltonian of a many-body system from its dynamics is a central task in quantum science, yet the algorithms with the strongest provable guarantees assume some level of quantum control--fast, arbitrary single-qubit gates interleaved with time evolution, and measurements in arbitrary bases--that is beyond the capabilities of near-term analog quantum simulators. Motivated by analog atom- and ion-based platforms, we study...

    arxiv.org/abs/2610.06709 · PDF

  3. 03

    Large Language Model-Guided Discovery of Weight-Five Bivariate Bicycle Codes

    Juan Cruz-Benito

    quant-ph · cs.AI

    Building on our earlier program-evolution workflow guided by large language models (LLMs), we study weight-five bivariate bicycle (BB) and perturbed bivariate bicycle (PBB) codes. The resulting catalogue contains 1,142 distinct code proposals, including 1,081 nonbaseline proposals attributable to LLM-generated programs. Across the catalogue, we certify connected Calderbank--Shor--Steane (CSS) realizations [[96,4,10]], [[140,6,10]], and...

    arxiv.org/abs/2610.06623 · PDF

  4. 04

    Symmetry and AI-assisted discovery of magic-state factories

    Shubham P. Jain, Adam Wills, Shraddha Singh

    quant-ph · cs.AI · cs.MA

    Magic-state distillation is a major resource cost in fault-tolerant quantum computing. The cost of a magic-state factory depends strongly on its failure rate, which grows with the number of input magic states. Although symmetry-restricted methods have recently made distance two searches tractable, distance three and above have remained elusive at moderate input counts. We develop symmetry- and AI-assisted methods to search this regime. We...

    arxiv.org/abs/2610.06535 · PDF

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