Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum Optimization Algorithms
Jonas Stein, Maximilian Zorn, Leo Sünkel +1 more·Nov 15, 2025
Quantum optimization allows for up to exponential quantum speedups for specific, possibly industrially relevant problems. As the key algorithm in this field, we motivate and discuss the Quantum Approximate Optimization Algorithm (QAOA), which can be ...
QuaRT: A toolkit for the exploration of quantum methods for radiation transport
Rasmit Devkota, John H. Wise·Nov 15, 2025
QuaRT is a Python library for quantum simulation of radiative transfer in astrophysical and cosmological problems. It features a novel angular redistribution methodology for lattice Boltzmann methods which improves the isotropy of simulations of obje...
Skyrmionic qubits stabilized by Dzyaloshinskii-Moriya interaction as platforms for qubits and quantum gates
Doru Sticlet, Romulus Tetean, Coriolan Tiusan·Nov 15, 2025
Quantum computation departs from the classical paradigm of deterministic, bit-based processing by exploiting inherently quantum phenomena such as superposition and entanglement. We propose a framework for qubit realization based on skyrmionic states ...
Reinforcement Learning for Charging Optimization of Inhomogeneous Dicke Quantum Batteries
Xiaobin Song, Siyuan Bai, Da-Wei Wang +4 more·Nov 15, 2025
Charging optimization is a key challenge to the implementation of quantum batteries, particularly under inhomogeneity and partial observability. This paper employs reinforcement learning to optimize piecewise-constant charging policies for an inhomog...
Hybrid Predictive Quantum Feedback: Extending Qubit Lifetimes Beyond the Wiseman-Milburn Limit
Ali Abu-Nada, Aryan Iliat, Russell Ceballos·Nov 15, 2025
Amplitude damping fundamentally limits qubit lifetimes by irreversibly leaking energy and information into the environment. Standard Wiseman--Milburn feedback offers only modest improvement because it acts on a single measured quadrature and its corr...
Quantum Amplitude-Amplification Eigensolver: A State-Learning-Assisted Approach beyond Energy-Gradient-Based Heuristics
Kyunghyun Baek, Seungjin Lee, Joonsuk Huh +4 more·Nov 15, 2025
Ground-state estimation lies at the heart of a broad range of quantum simulations. Most near-term approaches are cast as variational energy minimization and thus inherit the challenges of problem-specific energy landscapes. We develop the quantum amp...
Error-Mitigation Enabled Multicomponent Quantum Simulations Beyond the Born-Oppenheimer Approximation
Delmar G. A. Cabral, Brandon Allen, Fabijan Pavošević +6 more·Nov 14, 2025
We introduce a multicomponent unitary coupled cluster framework for quantum simulations of molecular systems that incorporate both electronic and nuclear quantum effects beyond the Born-Oppenheimer approximation. Using the nuclear-electronic orbital ...
Compact cavity-dressed Hamiltonian framework at arbitrarily strong light-matter coupling
Jakub Garwoła, Dvira Segal·Nov 14, 2025
We present a non-perturbative Hamiltonian mapping method for quantum systems strongly coupled to a quantized field mode (cavity), yielding compact closed-form representations of hybrid light-matter systems. The mapping method builds on an entangling ...
Study of Quantum Confinement inside a Viral Capsid
Elso Drigo Filho, Regina Maria Ricotta·Nov 14, 2025
Classical computational methods, such as molecular dynamics and Monte Carlo simulations, have long been the standard for modeling viral structure and function. However, these approaches may overlook crucial quantum phenomena that operate at the nanos...
Collective Enhancement of Photon Blockade via Two-Photon Interactions
Lijuan Dong, Aanal Jayesh Shah, Peter Kirton +2 more·Nov 14, 2025
Analogous to Coulomb blockade for electrons, photon blockade is a key quantum optical effect in which the presence of one photon prevents the transmission of subsequent ones through a nonlinear medium. Beyond its fundamental interest, photon and mult...
RF-Squad: A radiofrequency simulator for quantum dot arrays
Tara Murphy, Katarina Brlec, Giovanni Oakes +5 more·Nov 14, 2025
Spins in semiconductor quantum dots offer a scalable approach to quantum computing; however, precise control and efficient readout of large quantum dot arrays remain challenging, mainly due to the hyperdimensional voltage space required for tuning mu...
Hamiltonian simulation with explicit formulas for Digital-Analog Quantum Computing
Mikel Garcia-de-Andoin, Thorge Müller, Gonzalo Camacho·Nov 14, 2025
Digital-analog is a quantum computational paradigm that employs the natural interaction Hamiltonian of a system as the entangling resource, combined with single qubit gates, to implement universal quantum operations. As in the case of its digital gat...
Ultrafast quantum gates with fully quantized free-electron quantum optics
Yongcheng Ding·Nov 14, 2025
Free-electron quantum optics provides a versatile platform for manipulating electrons at the quantum level with potential applications in quantum information technologies. We propose a grating-based architecture for fully quantized free-electron quan...
The Riemann Hypothesis Emerges in Dynamical Quantum Phase Transitions
ShiJie Wei, Yue Zhai, Quanfeng Lu +7 more·Nov 14, 2025
The Riemann Hypothesis (RH), one of the most profound unsolved problems in mathematics, concerns the nontrivial zeros of the Riemann zeta function. Establishing connections between the RH and physical phenomena could offer new perspectives on its phy...
A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification
Jiang Yuhan, Matthew Otten·Nov 13, 2025
Quantum kernel methods are a promising branch of quantum machine learning, yet their effectiveness on diverse, high-dimensional, real-world data remains unverified. Current research has largely been limited to low-dimensional or synthetic datasets, p...
Correlated Purification for Restoring $N$-Representability in Quantum Simulation
Yuchen Wang, Irma Avdic, Michael Rose +4 more·Nov 13, 2025
Classical shadow tomography offers a scalable route to estimating properties of quantum states, but the resulting reduced density matrices (RDMs) often violate constraints that ensure they represent $N$-electron states -- known as $N$-representabilit...
Understanding the Nature of Depth-1 Equivariant Quantum Circuit
Jonathan Teo, Lee Xin Wei, Hoong Chuin Lau·Nov 13, 2025
The Equivariant Quantum Circuit (EQC) for the Travelling Salesman Problem (TSP) has been shown to achieve near-optimal performance in solving small TSP problems (up to 20 nodes) using only two parameters at depth 1. However, extending EQCs to larger ...
Entanglement Structure of Nonlocal Field Theories
Reza Pirmoradian, M. Hossein Bek-Khoshnevis, Sadaf Ebadi +1 more·Nov 13, 2025
Nonlocal interactions are known to generate volume-law entanglement entropy. However, their deeper impact on the fine structure of quantum correlations remains a key open question. In this work, we explore a bosonic nonlocal field theory, examining c...
Quantum Design Automation: Foundations, Challenges, and the Road Ahead
Feng Wu, Jingzhe Guo, Tian Xia +12 more·Nov 13, 2025
Quantum computing is transitioning from laboratory research to industrial deployment, yet significant challenges persist: system scalability and performance, fabrication yields, and the advancement of algorithms and applications. We emphasize that in...
Enhanced Digitized Adiabatic Quantum Factorization Algorithm Using Null-Space Encoding
Felip Pellicer·Nov 13, 2025
Integer factorization is a computational problem of fundamental importance in cybersecurity and secure communications, as its difficulty form the basis of modern public-key cryptography. While Shor's algorithm can solve this problem efficiently on a ...