Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Unsupervised Detection of Topological Phase Transitions with a Quantum Reservoir
Li Xin, Da Zhang, Zhang-Qi Yin·Sep 30, 2025
In quantum many-body systems, characterizing topological phase transitions typically requires complex many-body topological invariants, which are costly to compute and measure. Inspired by quantum reservoir computing, we propose an unsupervised quant...
Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus
Jason Han, Nicholas S. DiBrita, Daniel Leeds +3 more·Sep 30, 2025
Quantum machine learning (QML) holds the promise to solve classically intractable problems, but, as critical data can be fragmented across private clients, there is a need for distributed QML in a quantum federated learning (QFL) format. However, the...
High fidelity CNOT gates in photonic integrated circuits using composite segmented directional couplers
Jonatan Piasetzky, Amit Rotem, Yuval Warshavsky +4 more·Sep 29, 2025
Integrated photonic circuits are a promising platform for scalable quantum information processing, but their performance is often constrained by component sensitivity to fabrication imperfections. Directional couplers, which are crucial building bloc...
Experimental demonstration of boson sampling as a hardware accelerator for monte carlo integration
Malaquias Correa Anguita, Teun Roelink, Sara Marzban +3 more·Sep 29, 2025
We present an experimental demonstration of boson sampling as a hardware accelerator for Monte Carlo integration. Our approach leverages importance sampling to factorize an integrand into a distribution that can be sampled using quantum hardware and ...
Error detection without post-selection in adaptive quantum circuits
Eli Chertkov, Andrew C. Potter, David Hayes +1 more·Sep 29, 2025
Current quantum computers are limited by errors, but have not yet achieved the scale required to benefit from active error correction in large computations. We show how simulations of open quantum systems can benefit from error detection. In particul...
Enhancing work-extraction in quantum batteries via correlated reservoirs
Sejal Ahuja, Tanoy Kanti Konar, Aditi Sen De·Sep 29, 2025
Going beyond isolated system dynamics, we examine how local and spatially correlated reservoirs influence the work extraction in quantum batteries. By employing a one-dimensional spin-1/2 model coupled to baths via dephasing and amplitude-damping noi...
Distributed Quantum Error Correction with Permutation-Invariant Approximate Codes
Connor Clayton, Bruno Avritzer·Sep 29, 2025
Modular quantum computing architectures require error correction schemes that remain effective in the presense of noisy inter-processor operations. We introduce a distributed quantum error correction framework based on approximate codes to address th...
Quantum Dynamics with Time-Dependent Neural Quantum States
Alejandro Romero-Ros, Javier Rozalén Sarmiento, Arnau Rios·Sep 29, 2025
We present proof-of-principle time-dependent neural quantum state (NQS) simulations to illustrate the ability of this approach to effectively capture key aspects of quantum dynamics in the continuum. NQS leverage the parameterization of the wave func...
Composite nonadiabatic geometric quantum gates with optimization on superconducting circuits
Cheng-Yun Ding, Wan-Fang Liu, Li-Hua Zhang +2 more·Sep 29, 2025
Due to its fast and robust characteristics, nonadiabatic geometric quantum computation with various optimized techniques has received much attention. However, these strategies either require precise pulse control or can only mitigate partial systemat...
Non-destructive optical read-out and manipulation of circular Rydberg atoms
Yohann Machu, Andrés Durán-Hernández, Gautier Creutzer +4 more·Sep 29, 2025
Among the thriving quantum computation and quantum simulation platforms based on arrays of Rydberg atoms, those using circular Rydberg atoms are particularly promising. These atoms uniquely combine the strong dipole-dipole interactions typical of Ryd...
Study of nuclear magnetic resonance spectra with the multi-modal multi-level quantum complex exponential least squares algorithm
Antonio Marquez Romero, Josh J. M. Kirsopp, Giuseppe Buonaiuto +1 more·Sep 29, 2025
We present a novel application of the multi-modal, multi-level quantum complex exponential least squares (MM-QCELS) algorithm, a state-of-the-art, early fault-tolerant quantum phase estimation (QPE) technique, to the simulation and analysis of nuclea...
Broadband Magnetless Isolation in a Flux-Pumped, Dispersion-Engineered Transmission Line
M. Demarets, A. M. Vadiraj, C. Caloz +1 more·Sep 29, 2025
Isolators are commonly found in the amplification chain of microwave setups to shield sensitive devices such as superconducting qubits from noise and back-scattered signals. Conventional ferrite-based isolators are bulky, lossy and rely on strong mag...
Reducing Spatial and Temporal Dimensionality in the Multidimensional Caldeira-Leggett Model
Hongfei Zhan, Ernest W. Z. Pan, Zhenning Cai·Sep 29, 2025
Focusing on the real-time dynamics of the reduced density matrix of the multidimensional Caldeira-Leggett model, several techniques are adopted in this paper to reduce the spatial and temporal dimensionality, combined into an efficient algorithm. Fro...
Bayesian and geometric analyses of power spectral densities of spin qubits in Si/SiGe quantum dot devices
Yujun Choi, Hruday Mallubhotla, Mark Friesen +2 more·Sep 27, 2025
Charge noise with a power-law spectrum poses a significant challenge to high-fidelity operation of spin qubits in semiconductor devices. Recently, considerable experimental work characterized this noise using qubits as spectrometers. It apparently ar...
Superconvergence of High-order Magnus Quantum Algorithms
Di Fang, Jiaqi Zhang·Sep 26, 2025
The Magnus expansion has long been a celebrated subject in numerical analysis, leading to the development of many useful classical integrators. More recently, it has been discovered to be a powerful tool for designing quantum algorithms for Hamiltoni...
Comparison of wave-mixing processes in rarefied gas and QED vacuum using numerical simulations
Marianna Lytova, François Fillion-Gourdeau, Simon Vallières +3 more·Sep 26, 2025
We study the conditions required to distinguish laser-induced nonlinear quantum electrodynamics (QED) effects in vacuum from competing signals due to interactions of laser pulses with ionized residual gas. The latter is inevitably present in vacuum c...
Relativistic Quantum Simulation under Periodic and Dirichlet Boundary Conditions: A First-Quantised Framework for Near-Term Devices
Jaewoo Joo, Timothy P. Spiller, Kyunghyun Baek +1 more·Sep 26, 2025
We present a new recipe for relativistic quantum simulation using the first quantisation approach, under periodic (PBC) and Dirichlet (DBC) boundary conditions. The wavefunction is discretised across a finite grid represented by system qubits, and th...
A Quantum Algorithm for Nonlinear Electromagnetic Fluid Dynamics via Koopman-von Neumann Linearization
Hayato Higuchi, Yuki Ito, Kazuki Sakamoto +2 more·Sep 26, 2025
To simulate plasma phenomena, large-scale computational resources have been employed in developing high-precision and high-resolution plasma simulations. One of the main obstacles in plasma simulations is the requirement of computational resources th...
Bridging Quantum Noise and Classical Electrodynamics with Stochastic Methods
Felix Hitzelhammer, Johannes Stowasser, Lukas Hanschke +7 more·Sep 26, 2025
The development of emerging technologies in quantum optics demands accurate models that faithfully capture genuine quantum effects. Mature semiclassical approaches reach their limits when confronted with quantized electromagnetic fields, while full H...
Extending coherence time beyond break-even point using only drives and dissipation
Lida Sun, Yifang Xu, Yilong Zhou +11 more·Sep 26, 2025
Quantum error correction (QEC) aims to mitigate the loss of quantum information to the environment, which is a critical requirement for practical quantum computing. Existing QEC implementations heavily rely on measurement-based feedback, however, con...