Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
QPanda3: A High-Performance Software-Hardware Collaborative Framework for Large-Scale Quantum-Classical Computing Integration
Tianrui Zou, Yuan Fang, Jing Wang +8 more·Apr 3, 2025
In emerging quantum-classical integration applications, the classical time cost-especially from compilation and protocol-level communication often exceeds the execution time of quantum circuits themselves, posing a severe bottleneck to practical depl...
Perturbative Variational Quantum Eigensolver via Reduced Density Matrices
Yuhan Zheng, Yibin Guo, Huili Zhang +5 more·Apr 3, 2025
Current noisy intermediate-scale quantum (NISQ) devices remain limited in their ability to perform accurate quantum chemistry simulations due to restricted numbers of high-fidelity qubits and short coherence times. To overcome these challenges, we in...
Split Federated Learning for Low-Altitude Wireless Networks: Joint Sensing, Communication, Computation, and Control Co-design
Xiangwang Hou, Xianghe Wang, Jiacheng Wang +4 more·Apr 2, 2025
Unmanned aerial vehicles (UAVs) with integrated sensing, communication, computation and control (ISC3) capabilities have become key enablers of next-generation wireless networks. Federated edge learning (FEL) leverages UAVs as mobile learning agents ...
Asymptotic Error Bounds and Fractional-Bit Design for Fixed-Point Grover's Quantum Algorithm Emulation
Seonghyun Choi, Kyeongwon Lee, Jongin Choi +1 more·Apr 2, 2025
Quantum computing (QC) emulators, which simulate quantum algorithms on classical hardware, are indispensable platforms for testing quantum algorithms before scalable quantum computers become widely available. A critical challenge in QC emulation is m...
Threshold for Fault-tolerant Quantum Advantage with the Quantum Approximate Optimization Algorithm
Sivaprasad Omanakuttan, Zichang He, Zhiwei Zhang +9 more·Apr 2, 2025
Optimization is often cited as a promising application of quantum computers. However, the low degree of provable quantum speedups has led prior rigorous end-to-end resource analyses to conclude that a quantum computer is unlikely to surpass classical...
Output Prediction of Quantum Circuits based on Graph Neural Networks
Yuxiang Liu, Fanxu Meng, Lu Wang +3 more·Apr 1, 2025
The output prediction of quantum circuits is a formidably challenging task imperative in developing quantum devices. Motivated by the natural graph representation of quantum circuits, this paper proposes a Graph Neural Networks (GNNs)-based framework...
LimTDD: A Compact Decision Diagram Integrating Tensor and Local Invertible Map Representations
Xin Hong, Aochu Dai, Dingchao Gao +3 more·Apr 1, 2025
Tensor networks serve as a powerful tool for efficiently representing and manipulating high-dimensional data in applications such as quantum physics, machine learning, and data compression. Tensor Decision Diagrams (TDDs) offer an efficient framework...
Fault-tolerant correction-ready encoding of the [[7,1,3]] Steane code on a 2D grid
A. Rodríguez-Blanco, Ho Nam Nguyen, K. B. Whaley·Apr 1, 2025
Practical quantum computation heavily relies on the ability to perform quantum error correction in a fault-tolerant manner. Fault-tolerant encoding is a critical first step, and careful consideration of the error correction cycle that follows is esse...
Improved quantum lattice Boltzmann method for advection-diffusion equations with a linear collision model.
Li Xu, Ming Li, Lei Zhang +2 more·Apr 1, 2025
Quantum computing has made tremendous progress in recent years, providing potentialities for breaking the bottleneck of computing power in the field of scientific computing, like computational fluid dynamics. To reduce computational costs and achieve...
Digital Quantum Simulation of the Lindblad Master Equation and Its Nonlinear Extensions via Quantum Trajectory Averaging
Yu-Guo Liu, Heng Fan, Shu Chen·Mar 31, 2025
Since precisely controlling dissipation in realistic environments is challenging, digital simulation of the Lindblad master equation (LME) is of great significance for understanding nonequilibrium dynamics in open quantum systems. However, achieving ...
First-principles design of stable spin qubits in monolayer MoS2 with elemental defect engineering
Cailian Yu, Zhihua Zheng, Menghao Gao +3 more·Mar 31, 2025
Quantum information science, encompassing technologies such as quantum computing, sensing, and communication, relies on the development and manipulation of quantum bits (qubits). Recently, two-dimensional (2D) materials—characterized by their atomic ...
Performance Evaluation of Variational Quantum Eigensolver and Quantum Dynamics Algorithms on the Advection-Diffusion Equation
A. Ozguler·Mar 31, 2025
We investigate the potential of near-term quantum algorithms for solving partial differential equations (PDEs), focusing on a linear one-dimensional advection-diffusion equation as a test case. This study benchmarks a ground-state algorithm, Variatio...
On Speedups for Convex Optimization via Quantum Dynamics
Shouvanik Chakrabarti, Dylan Herman, Jacob Watkins +4 more·Mar 31, 2025
We explore the potential for quantum speedups in convex optimization using discrete simulations of the Quantum Hamiltonian Descent (QHD) framework, as proposed by Leng et al., and establish the first rigorous query complexity bounds. We develop enhan...
Simulation of Shor Algorithm for Discrete Logarithm Problems With Comprehensive Pairs of Modulo $p$ and Order $q$
Kaito Kishi, Junpei Yamaguchi, Tetsuya Izu +1 more·Mar 31, 2025
The discrete logarithm problem (DLP) over finite fields, commonly used in classical cryptography, has no known polynomial-time algorithm on classical computers. However, Shor has provided its polynomial-time algorithm on quantum computers. Neverthele...
Strongly coupled photonic molecules as doubly-coupled oscillators
Kevin C. Smith, Austin G. Nixon, David J. Masiello·Mar 30, 2025
In this work, we present a field-theoretic model of strongly coupled photonic molecules composed of interacting dielectric cavities in a closed, perfect-electric-conductor domain. Within this setting, we treat the resulting inter-mode couplings non-p...
Differential equation quantum solvers: engineering measurements to reduce cost
Annie E. Paine, Casper Gyurik, A. A. Gentile·Mar 28, 2025
Quantum computers have been proposed as a solution for efficiently solving non-linear differential equations (DEs), a fundamental task across diverse technological and scientific domains. However, a crucial milestone in this regard is to design proto...
Towards Robust Variational Quantum Simulation of Lindblad Dynamics via Stochastic Magnus Expansion
Jiachen Huang, Hao-En Li, Yi-Cheng Wang +3 more·Mar 28, 2025
In this paper, we introduce a novel and general framework for the variational quantum simulation of Lindblad equations. Building on the close relationship between the unraveled Lindblad dynamics, stochastic Magnus integrators, and variational quantum...
Quantum approximate multi-objective optimization
Ayse Kotil, Elijah Pelofske, Stephanie Riedmüller +4 more·Mar 28, 2025
The goal of multi-objective optimization is to understand optimal trade-offs between competing objective functions by finding the Pareto front, that is, the set of all Pareto-optimal solutions, where no objective can be improved without degrading ano...
Variational quantum-neural hybrid imaginary time evolution
H. Kuji, T. Nikuni, Yuta Shingu·Mar 28, 2025
Numerous methodologies have been proposed to implement imaginary time evolution (ITE) on quantum computers. Among these, variational ITE (VITE) methods for noisy intermediate-scale quantum (NISQ) computers have attracted much attention, which uses pa...
Information Theoretic One-Time Programs from Geometrically Local QNC0 Adversaries
Lev Stambler·Mar 27, 2025
We show how to construct simulation secure one-time memories, and thus one-time programs, without computational assumptions in the presence of constraints on quantum hardware. Specifically, we build one-time memories from random linear codes and quan...