Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Master Equation for a Quantum Gas of Polarizable Particles in Cavities
Tom Schmit, Catalin-Mihai Halati, Tobias Donner +2 more·Aug 11, 2025
Quantum gases of atoms and molecules in optical cavities offer a formidable laboratory for studying the out-of-equilibrium dynamics of open quantum systems with long-range interactions. Long-range interactions are here mediated by multiple scattering...
Deterministic Integration of CsPbBr3 Quantum Dots with Plasmonic Ring Microcavities
Pengji Li, Chenxi Ma, Jingzhong Yang +8 more·Aug 11, 2025
Perovskite quantum dots hold great promise for quantum information processing as wavelength-tunable single photon sources operable over a broad temperature range. However, their deterministic integration into nanophotonic structures remains a major c...
Expanding a 4-qubit Dicke state to a 5-qubit Dicke state with limited qubit access
Bibhuti Thapa, Oberon Moran, Duc-Kha Vu +1 more·Aug 11, 2025
Preparing multipartite entangled states under restricted qubit access is a key challenge for modular and distributed quantum architectures. We address this by presenting two complementary circuits. First, we propose a resource-efficient deterministic...
Quantum-centric simulation of hydrogen abstraction by sample-based quantum diagonalization and entanglement forging
T. Smith, Tanvi P. Gujarati, Mario Motta +11 more·Aug 11, 2025
The simulation of electronic systems is an anticipated application for quantum-centric computers, i.e. heterogeneous architectures where classical and quantum processing units operate in concert. An important application is the computation of radical...
Quantum-Classical Hybrid Computation of Electron Transfer in a Cryptochrome Protein via VQE-PDFT and Multiscale Modeling
Yibo Chen, Zirui Sheng, Weitang Li +4 more·Aug 10, 2025
Accurate calculation of strongly correlated electronic systems requires proper treatment of both static and dynamic correlations, which remains challenging for conventional methods. To address this, we present VQE-PDFT,aquantum-classical hybrid frame...
Continuous-Time Quantum Markov Chains And Discretizations Of p-Adic Schrödinger Equations: Comparisons And Simulations
W. A. Zúñiga-Galindo, L. F. Chacón-Cortés·Aug 8, 2025
The continuous-time quantum walks (CTQWs) are a fundamental tool in the development of quantum algorithms. Recently, it was shown that discretizations of p-adic Schrödinger equations give rise to continuous-time quantum Markov chains (CTQMCs); this t...
Can a Quantum Computer Simulate Nuclear Magnetic Resonance Spectra Better than a Classical One?
Keith R. Fratus, Nicklas Enenkel, Sebastian Zanker +3 more·Aug 8, 2025
The simulation of the spectra measured in nuclear magnetic resonance (NMR) spectroscopy experiments is a computationally non-trivial problem which, due to its natural interpretation as a quantum spin problem, maps in a straightforward way to a quantu...
Scalable Quantum State Preparation for Encoding Genomic Data with Matrix Product States
Floyd M. Creevey, Hitham T. Hassan, James T. McCafferty +2 more·Aug 8, 2025
As quantum computing hardware advances, the need for algorithms that facilitate the loading of classical data into the quantum states of these devices has become increasingly important. This study presents a method for producing scalable quantum circ...
Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
Philip Anton Hernicht, Alona Sakhnenko, Corey O’Meara +2 more·Aug 8, 2025
Quantum machine learning (QML) presents potential for early industrial adoption, yet limited access to quantum hardware remains a significant bottleneck for deployment of QML solutions. This work explores the use of classical surrogates to bypass thi...
Classical simulation of noisy quantum circuits via locally entanglement-optimal unravelings
Simon Cichy, Paul K. Faehrmann, Lennart Bittel +2 more·Aug 7, 2025
Classical simulations of noisy quantum circuits are instrumental to our understanding of the behavior of real-world quantum systems and the identification of regimes where one expects quantum advantage. In this work, we present a highly parallelizabl...
A quantum turbuloscope: unlocking end-to-end quantum simulation of turbulence
Zhaoyuan Meng, Xiao-Ming Zhang, Xiao Yuan +1 more·Aug 7, 2025
Multiscale organization is a hallmark of complex natural systems, spanning climate dynamics, biological morphogenesis, and fluid turbulence. While quantum computing promises exponential speedups for solving the evolution equations governing these fie...
Quantum Circuit Benchmarking on IBM Brisbane: Performance Insights from Superconducting Qubit Models
J. Selvam, S. Veni·Aug 7, 2025
This paper investigates quantum communication using superconducting qubits, emphasizing the simulation and control of quantum systems via IBM Brisbane quantum processor. We focus on implementing fundamental quantum gates and analyzing the evolution o...
MPS-JuliQAOA: User-friendly, Scalable MPS-based Simulation for Quantum Optimization
Sean Feeney, Reuben Tate, John Golden +1 more·Aug 7, 2025
We present the MPS-JuliQAOA simulator, a user-friendly, open-source tool to simulate the Quantum Approximate Optimization Algorithm (QAOA) of any optimization problem that can be expressed as diagonal Hamiltonian. By leveraging Julia-language constru...
Role of Plaquette Term in Genuine $2+1$D String Dynamics on Quantum Simulators
Yizhuo Tian, N. Srivatsa, Kaidi Xu +3 more·Aug 7, 2025
With the advent of quantum simulators of $2+1$D lattice gauge theories (LGTs), a fundamental open question is under what circumstances the observed physics is genuinely $2+1$D rather than effectively $1+1$D. Here, we address this question in the ongo...
Material-Driven Optimization of Transmon Qubits for Scalable and Efficient Quantum Architectures
Jonnalagadda Gayatri, S. Veni·Aug 7, 2025
One of the most crucial steps in creating practical quantum computers is designing scalable and efficient superconducting qubits. Coherence times, connections between individual qubits, and reduction of environmental noise are critical factors in the...
On the Design of Expressive and Trainable Pulse-based Quantum Machine Learning Models
Han-Xiao Tao, Xin Wang, Re-Bing Wu·Aug 7, 2025
Pulse-based Quantum Machine Learning (QML) has emerged as a novel paradigm in quantum artificial intelligence due to its exceptional hardware efficiency. For practical applications, pulse-based models must be both expressive and trainable. Previous s...
Model-based framework for automated quantification of error sources in quantum state tomography
Junpei Oba, Hsin-Pin Lo, Yasuhiro Yamada +6 more·Aug 7, 2025
High-quality quantum state generation is essential for advanced quantum information processing, including quantum communication, quantum sensing, and quantum computing. In practice, various error sources degrade the quality of quantum states, and qua...
Hybrid Quantum-Classical Machine Learning Potential with Variational Quantum Circuits
S. Y. Willow, David ChangMo Yang, Chang Woo·Aug 6, 2025
Quantum algorithms for simulating large and complex molecular systems are still in their infancy, and surpassing state-of-the-art classical techniques remains an ever-receding goal post. A promising avenue of inquiry in the meanwhile is to seek pract...
Noisy Quantum Simulation Using Tracking, Uncomputation and Sampling
Siddharth Dangwal, T. Oberoi, Ajay Sailopal +2 more·Aug 6, 2025
Quantum computers have grown in size and qubit quality in recent years, enabling the execution of complex quantum circuits. However, for most researchers, access to compute time on quantum hardware is limited. This necessitates the need to build simu...
Simulation and Benchmarking of Real Quantum Hardware
T. Piskor, M. Schondorf, M. Bauer +5 more·Aug 6, 2025
The effects of noise are one of the most important factors to consider when it comes to quantum computing in the noisy intermediate-scale quantum computing (NISQ) era that we are currently in. Therefore, it is important not only to gain more knowledg...