Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,228
This Month
780
Today
0
Research Volume
12,685 papers in 12 months (-11% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Decay of the survival probability of a local excitation in multi-qubit platforms
Paolo Muratore-Ginanneschi, Bayan Karimi, Jukka Pekola·Apr 1, 2026
We present a theoretical study of the survival probability of a state initially prepared in the one-particle sector of a multi-qubit system. The motivation for our work is the ongoing laboratory development of multi-qubit platforms based on supercond...
Quantum machine learning for the quantum lattice Boltzmann method: Trainability of variational quantum circuits for the nonlinear collision operator across multiple time steps
Antonio David Bastida Zamora, Ljubomir Budinski, Pierre Sagaut +1 more·Apr 1, 2026
This study investigates the application of quantum machine learning (QML) to approximate the nonlinear component of the collision operator within the quantum lattice Boltzmann method (QLBM). To achieve this, we train a variational quantum circuit (VQ...
Survival of nonclassical correlations in Lorentz-violating spacetime
Yangchun Tang, Zhilong Liu, Wentao Liu +1 more·Apr 1, 2026
The breakdown of Lorentz invariance, a potential signature of quantum gravity, offers a window into physics beyond general relativity. We investigate how such a violation, embodied by the Einstein-Bumblebee black hole spacetime, influences the nonloc...
No quantum advantage implies improved bounds and classical algorithms for the binary paint shop problem
Mark Goh, Lara Caroline Pereira dos Santos, Matthias Sperl·Apr 1, 2026
The binary paint shop problem (BPSP) is an APX-hard optimization problem in which, given n car models that occur twice in a sequence of length 2n, the goal is to find a colouring sequence such that the two occurrences of each model are painted differ...
Beyond Perturbation Theory: A Resolvent-Based Framework for Strongly Correlated Many-Body Systems
Zhi-qiang Huang, Qing-yu Cai·Apr 1, 2026
Traditional perturbation theory, based on local analyticity (Taylor expansion), often fails in many-body systems with exponentially small energy gaps and strong interactions. This work presents an alternative methodological framework built on two cor...
Quantum algorithms for the fractional Poisson equation via rational approximation
Yin Yang, Yue Yu, Long Zhang +1 more·Apr 1, 2026
This paper presents a quantum algorithm for solving the fractional Poisson equation \((-Δ)^s u = f\) with \(s \in (0,1)\) on bounded domains. The proposed approach combines rational approximation techniques with quantum linear system solvers to achie...
Universal features of high-energy scattering of Laguerre-Gaussian states
Yaoqi Yang, Igor P. Ivanov·Apr 1, 2026
Vortex states of photons, electrons, and other particles are wave packets that carry intrinsic orbital angular momentum (OAM) and exhibit other features unavailable for plane waves. Collisions of high-energy vortex states can become a promising tool ...
Nonequilibrium phase transition of dissipative fermionic superfluids: Case study of multi-terminal Josephson junctions
Soma Takemori, Kazuki Yamamoto·Apr 1, 2026
We investigate nonequilibrium dynamics of a triad of fermionic superfluids connected via Josephson junctions, following sudden switch-on of two-body loss in one of the three superfluids. By formulating the dissipative BCS theory for the Lindblad equa...
Quantum-Safe Code Auditing: LLM-Assisted Static Analysis and Quantum-Aware Risk Scoring for Post-Quantum Cryptography Migration
Animesh Shaw·Apr 1, 2026
The impending arrival of cryptographically relevant quantum computers (CRQCs) threatens the security foundations of modern software: Shor's algorithm breaks RSA, ECDSA, ECDH, and Diffie-Hellman, while Grover's algorithm reduces the effective security...
Braiding and exchange statistics of liquid crystalline Majorana quasiparticles
A. I. Tóth, G. Negro, A. D. Huxley +1 more·Apr 1, 2026
Liquid crystalline defects in 3D can be viewed as geometric spinors, whose emergent properties are reminiscent of those of topological excitations in quantum condensed matter, such as Majorana quasiparticles. However, it is unclear how deep this anal...
Standard Quantum Phase Estimation Detects All Eigenvalues via Randomized Initial States
Yuki Izumi, Hitoshi Kawahara·Apr 1, 2026
Standard quantum phase estimation (QPE) has often been regarded as unsuitable for simultaneous detection of all eigenvalues, because it requires initial states with sufficient overlap with the target eigenstates. In this paper, we show that this limi...
Noise-resilient nanophotonic gyroscope with sub-prad phase resolution
Yu Tao, Xinhang Li, Jingzheng Huang +5 more·Apr 1, 2026
Optical gyroscopes based on the Sagnac effect are the cornerstone of precision orientation and navigation. However, their bulky form factors prevent deployment in emerging mobile and autonomous systems. On nanophotonic platforms, the Sagnac signal pl...
Improvement of entanglement generation rate in frequency-multiplexed quantum repeaters using cavity-enhanced SPDC source
Ryoma Komatsudaira, Tomoyuki Horikiri·Apr 1, 2026
High-rate entanglement generation is essential for the realization of practical quantum repeaters. To this end, frequency multiplexing of the photons employed is an effective approach. In particular, schemes using cavity-enhanced spontaneous parametr...
1-Mbps Twin-Field Quantum Key Distribution over 200 km Using Independent Dissipative Kerr Solitons
Hao Dong, Tian-Jiao Zhang, Yan-Wei Chen +10 more·Apr 1, 2026
Twin-field quantum key distribution (TF-QKD) dramatically enhances the secure key rate (SKR) over inter-city distances through its square-root scaling. Further improvements in aggregate SKR can be achieved by wavelength-division multiplexing (WDM) of...
Characterization of non-classical particle propagation using superpositions of position and momentum
Yuki Senoo, Holger F. Hofmann, Hiroki Yamakami +1 more·Apr 1, 2026
The uncertainty principle suggests a quantitative trade-off between the control of position and the control of momentum in particle propagation. However, a superposition of two states with very different uncertainty trade-offs introduces an interfere...
Structured detection microscopy
Larnii Booth, Kyle Clunies-Ross, Rumelo Amor +4 more·Apr 1, 2026
Super-resolution microscopy is crucial for imaging sub-wavelength biological structures. However, most techniques rely on nonlinear saturation or stochastic switching of emitters, limiting imaging speed and increasing phototoxicity. Here, we achieve ...
Hybrid Classical--Quantum Optimization of Wireless Routing Using QAOA and Quantum Walks
Eric Howard, Hardique Dasore, Hom Nath Dhungana +4 more·Apr 1, 2026
Routing in wireless communication networks is shaped by mobility, interference, congestion, and competing service requirements, making route selection a high-dimensional constrained optimization problem rather than a simple shortest-path task. This p...
Anomalous waiting-time distributions in postselection-free quantum many-body dynamics under continuous monitoring
Kazuki Yamamoto, Ryusuke Hamazaki·Apr 1, 2026
We investigate waiting-time distributions (WTDs) of quantum jumps in continuously monitored quantum many-body systems, whose unconditional dynamics lead to the trivial infinite-temperature state. We demonstrate that the WTD of a half-chain subsystem ...
Pricing Lookback Options on a Quantum Computer
F. Paquette, Tania Belabbas, Emmanuel Hamel +1 more·Apr 1, 2026
We develop a quantum algorithm to price discretely monitored lookback options in the Black-Scholes framework using imaginary time evolution. By rewriting the pricing PDE as a Schrodinger-type equation, the problem becomes the imaginary time evolution...
Quantum Statistical Bootstrap
Yongkai Chen, Ping Ma, Wenxuan Zhong·Apr 1, 2026
The bootstrap is a foundational tool in statistical inference, but its classical implementation relies on Monte Carlo resampling, introducing approximation error and incurring high computational cost -- especially for large datasets and complex model...