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Papers

Live trends in quantum computing research, updated daily from arXiv.

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13,147 papers in 12 months (+1% vs prior quarter)

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6,169 papers found

Pseudogap in a Fermi-Hubbard quantum simulator

Lev Haldar Kendrick, Anant Kale, Youqi Gang +4 more·Sep 22, 2025

Understanding doped Mott insulators is a fundamental goal in condensed matter physics, with relevance to cuprate superconductors and other quantum materials. The doped Hubbard model minimally describes such systems, and has explicated some of their c...

cond-mat.quant-gascond-mat.str-elAtomic PhysicsQuantum Physics

Efficient formulation of quantum network under amplitude damping noise: Highlighting benefits over its Pauli-twirled counterpart

Sudipta Mondal, Pritam Halder, Stav Haldar +1 more·Sep 22, 2025

At the heart of building a large-scale quantum internet lies the challenge of establishing long-distance entanglement using quantum repeaters, which mitigate direct transmission losses but introduce additional noise in the nodes via interactions with...

Quantum Physics

Exploring molecular supersolidity via exact and mean-field theories: single microwave shielding

Tiziano Arnone Cardinale, Thomas Bland, Stephanie M. Reimann·Sep 22, 2025

Ultracold polar molecules with microwave shielding provide a powerful platform for exploring quantum many-body physics with strong, anisotropic interactions. We develop an extended Gross-Pitaevskii framework for bosonic molecules under single microwa...

cond-mat.quant-gasQuantum Physics

Optimal local basis truncation of lattice quantum many-body systems

Peter Majcen, Giovanni Cataldi, Pietro Silvi +1 more·Sep 22, 2025

We show how to optimally reduce the local Hilbert basis of lattice quantum many-body (QMB) Hamiltonians. The basis truncation exploits the most relevant eigenvalues of the estimated single-site reduced density matrix (RDM). It is accurate and numeric...

cond-mat.str-elcond-mat.quant-gashep-latphysics.comp-ph

Fast and Accurate Decoder for the XZZX Code Using Simulated Annealing

Tatsuya Sakashita·Sep 22, 2025

The XZZX code is a variant of the surface code tailored to address biased noise in realistic quantum devices. We propose a simulated annealing (SA) decoder for the XZZX code. Our SA decoder is amenable to parallelization because its MCMC updates are ...

Quantum Physics

Functional Information in Quantum Darwinism: An Operational Measure of Objectivity

Arda Batin Tank·Sep 22, 2025

Quantum Darwinism explains the emergence of classical objectivity through the redundant encoding of pointer information in environmental fragments. However, existing diagnostics rely on arbitrary thresholds or structural assumptions that limit their ...

Quantum Physicsphysics.comp-phphysics.data-an

Enhanced fill probability estimates in institutional algorithmic bond trading using statistical learning algorithms with quantum computers

Axel Ciceri, Austin Cottrell, Joshua Freeland +13 more·Sep 22, 2025

The estimation of fill probabilities for trade orders represents a key ingredient in the optimization of algorithmic trading strategies. It is bound by the complex dynamics of financial markets with inherent uncertainties, and the limitations of mode...

Quantum Physicsq-fin.TR

Conditioning in Generative Quantum Denoising Diffusion Models

Daniel Quinn, Lorenzo Buffoni, Stefano Gherardini +1 more·Sep 22, 2025

Quantum denoising diffusion models have recently emerged as a powerful framework for generative quantum machine learning. In this work, we extend these models by introducing a conditioning mechanism that enables the generation of quantum states drawn...

Quantum Physics

QUT: A Unit Testing Framework for Quantum Subroutines

Mykhailo V. Klymenko, Thong Hoang, Hoa Nguyen +6 more·Sep 22, 2025

We present the architectural design and prototype implementation of QUT (Quantum Unit Testing), a framework for unit testing of quantum subroutines. The framework is developed with a focus on usability and simplicity, making the complex theoretical c...

Quantum Physics

Stabilizer Rényi Entropy and its Transition in the Coupled Sachdev-Ye-Kitaev Model

Pengfei Zhang, Shuyan Zhou, Ning Sun·Sep 22, 2025

Quantum entanglement and quantum magic are two distinct fundamental resources that enable quantum systems to exhibit complex phenomena beyond the capabilities of classical computer simulations. While quantum entanglement has been extensively used to ...

Quantum Physicscond-mat.stat-mechcond-mat.str-el

Quantum Simulation Programming via Typing

Liyi Li, Federico Zahariev, Chandeepa Dissanayake +3 more·Sep 22, 2025

Quantum simulations are designed to model quantum systems, and many compilation frameworks have been developed for executing such simulations on quantum computers. Most compilers leverage the capabilities of digital and analog quantum computers by re...

Quantum Physicscs.PL

Efficient Measurement Error Mitigation with Subsystem-Balanced Pauli Twirling

Xiao-Yue Xu, Chen Ding, Wan-Su Bao·Sep 22, 2025

Measurement error mitigation (MEM) is essential for realizing reliable quantum computation. Model-free measurement error mitigation (MF-MEM) is an important class of MEM methods that employs Pauli twirling-typically with a random twirling set-to conv...

Quantum Physics

Feasibility Study of 3D-Printed Micro Junction Array for Ion Trap Quantum Processor

Kento Taniguchi, Ke Sun, Shuqi Xu +6 more·Sep 21, 2025

We introduce an ion trap platform based on a 3D-printed micro-junction array, designed to implement quantum charge-coupled device (QCCD) architectures for large-scale quantum information processing (QIP). The integration of three-dimensionally struct...

Quantum Physics

Direct measurement of the quantum geometric tensor in pseudo-Hermitian systems

Ze-Hao Huang, Hai-Tao Ding, Li-Jun Lang·Sep 21, 2025

The quantum geometric tensor (QGT) fundamentally encodes the geometry and topology of quantum states in both Hermitian and non-Hermitian regimes. While adiabatic perturbation theory links its real part (quantum metric) and imaginary part (Berry curva...

Quantum Physics

Quantum phase transition in two dimension nonlinear cavity optomagnonic system

Yu Sang, Jie Liu, Lei Tan·Sep 21, 2025

The superfluid-Mott insulator and ergodic-many body localization transitions based on a two dimension nonlinear cavity optomagnonic system are investigated, where a yttrium iron garnet (YIG) sphere is embedded at each site of a two-dimensional couple...

Quantum Physics

Rapid Preparation of Rydberg Superatom W State Using Superadiabatic Techniques

Liping Yang, Jiping Wang, Li Dong +2 more·Sep 21, 2025

The W state, as a robust multipartite entangled state, plays an important role in quantum information processing, quantum network construction and quantum computing. In this paper, we encode quantum information on the effective energy levels of Rydbe...

Quantum Physicsphysics.optics

Explicit Quantum Circuits for Simulating Linear Differential Equations via Dilation

Seonggeun Park·Sep 20, 2025

Quantum simulation has primarily focused on unitary dynamics, while many physical and engineering systems can be modeled by linear ordinary differential equations whose generators include non-Hermitian terms. Recent studies have shown that such equat...

Quantum Physics

pyRMG: A Framework for High-Throughput, Large-Cell DFT Calculations on Supercomputers

R. J. Morelock, S. Bagchi, E. L. Briggs +3 more·Sep 20, 2025

Exascale computing delivers the raw power to simulate ever larger and more chemically realistic systems, but realizing this potential requires codes that can efficiently use thousands of processors. Our real-space multigrid (RMG) density functional t...

cond-mat.mtrl-sciQuantum Physics

A Collisional Model Approach to Quantum Phase Sensitivity

S. Elham Mousavigharalari, Deniz Türkpençe·Sep 20, 2025

We investigate how relative phase information, encoded by a single qubit $H\,\varphi\,H$ gate sequence, is reflected in the quantum Fisher information (QFI) under noisy dynamics. Within a collision model framework, algorithmically prepared reservoir ...

Quantum Physics

Knowledge Distillation for Variational Quantum Convolutional Neural Networks on Heterogeneous Data

Kai Yu, Binbin Cai, Song Lin·Sep 20, 2025

Distributed quantum machine learning faces significant challenges due to heterogeneous client data and variations in local model structures, which hinder global model aggregation. To address these challenges, we propose a knowledge distillation frame...

Quantum Physicscs.LG
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