quant-ph · 2026-08-13 · No. 83

Quantum Physics, 2026-08-13.

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

    Hamilton-Zero: A Neural Tensor-Network Foundation Model for Ground States of Arbitrary Quadratic Qubit Hamiltonians

    Timothy Heightman, Elena Orlova, Philip Mantrov, Aleksei Ustimenko

    quant-ph · cond-mat.dis-nn · cond-mat.str-el · cs.AI

    A central promise of useful quantum advantage is the ability to compute ground states of Hamiltonian systems beyond the reach of classical simulation methods. Here we demonstrate that this problem can be effectively amortized across an arbitrary and universal set of Hamiltonians by a foundation model with $\sim0.5$B variational parameters, trained with contemporary techniques from large language models and deep reinforcement learning. To do...

    arxiv.org/abs/2608.11911 · PDF

  2. 02

    CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation

    Xue Yang, Rigui Zhou, ShiZheng Jia, Dax Enshan Koh, Siong Thye Goh, Young-Wook Cho, YaoChong Li, Xuezhi Ma, Hongyu...

    quant-ph · cs.AI · cs.CV

    Quantum generative adversarial networks (QGANs) have attracted increasing attention for image generation using parameterized quantum circuits. Existing amplitude-based approaches face two key limitations: pixel locations are typically encoded by computational-basis indices or address qubits, causing quantum resources to grow with image resolution; meanwhile, jointly decoding many pixels from normalized quantum states introduces probability...

    arxiv.org/abs/2608.11884 · PDF

  3. 03

    A 12-CNOT Double Qubit Excitation Gate

    Irfansha Shaik

    quant-ph · cs.AI

    Effective implementation of high-level quantum gates is essential for practical quantum computing. To the best of our knowledge, we present the first reported 12-CNOT decomposition of the double qubit excitation operator, improving upon state-of-the-art (SOTA) implementations with 13 CNOTs. Our new circuit has the lowest CNOT count (12), lowest CNOT depth (10), and lowest total circuit depth (16) among all the previous SOTA circuits. Further,...

    arxiv.org/abs/2608.11733 · PDF

  4. 04

    A Quantum/Classical Example Oracle Separation for Making Things Up

    Kenny Chen

    quant-ph · cs.LG · stat.ML

    We study the power of quantum examples, as compared to classical examples, in the PAC learning framework. Here, we have two learning algorithms, both with access to quantum computation, but one gets quantum examples, whereas the other gets classical examples. It was previously unknown whether there were learning tasks that can be efficiently performed but not by the latter. Our primary result is to show that relative to an oracle, there are...

    arxiv.org/abs/2608.11648 · PDF

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