Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Dark-fringe interferometer with dynamic phase control for Mössbauer science
Miriam Gerharz, Dominik Lentrodt, Lars Bocklage +10 more·Sep 29, 2025
Interference is a powerful tool for measuring and control. In Mössbauer science, interference effects are essential to most applications, due to the coherent scattering nature. However, Mössbauer interferometry remains challenging, due to stability r...
Generation of C-band entangled photon pairs by biexciton-exciton cascade from symmetric InAs/InP quantum dots
Anna Musiał, Maja Wasiluk, Katarzyna Roszak +6 more·Sep 29, 2025
Hereby, we study the generation of pairs of polarization-entangled photons at telecom C-band by biexciton-exciton cascade from non-resonantly excited epitaxial InAs/InP quantum dots (QDs). It is realized without external tuning of the fine structure ...
Nonclassical phonon pair
Yu Wang, Zhen Shen, Mai Zhang +6 more·Sep 29, 2025
Quantum-correlated photon pairs are crucial resources for modern quantum information science. Similarly, the reliable generation of nonclassical phonon pairs is vital for advancing engineerable solid-state quantum devices and hybrid quantum networks ...
Continuous Wave Quantum Detection and Ranging with quantum heterodyne detection
Ming-Da Huang, Zhan-Feng Jiang, M. Hunza +6 more·Sep 29, 2025
In the continuous-wave Detection and Ranging technology, simultaneous and accurate range and velocity measurements of an unknown target are typically achieved using a frequency-modulated continuous wave (FMCW) with a heterodyne receiver. The high tim...
Non-Gaussian Quantum State Engineering with Postselected von Neumann Measurements
Xiao-Xi Yao, Yusuf Turek·Sep 29, 2025
We introduce a feasible protocol for generating non-Gaussian (nG) states via postselected von Neumann measurement for continuous-variable quantum information processing. The method uses a two-level system coupled to a Gaussian pointer state through a...
Mode Selection in Quantum Nonlinear Optics Using Optical Resonators
Xin Chen·Sep 28, 2025
Nonlinear optics underpins quantum photonics by enabling the generation and control of quantum states of light. We present new applications of optical resonators as mode selectors in nonlinear processes. First, we show that cavity-enhanced spontaneou...
Non-Abelian interference of topological edge states
Shi Hu, Meiqing Hu, Zhoutao Lei·Sep 28, 2025
Topological boundary states exhibit distinctive properties, including unidirectional propagation and noise robustness, which hold significant potential for advancing the performance of quantum science and technology. Here, we demonstrate the implemen...
Leveraging Quantum Computing For Recourse-Based Energy Management Under PV Generation Uncertainty
Daniel Müssig, Mustafa Musab, Markus Wappler +1 more·Sep 27, 2025
The integration of distributed energy resources, particularly photovoltaic (PV) systems and electric vehicles (EVs), introduces significant uncertainty and complexity into modern energy systems. This paper explores a novel approach to address these c...
Cost-aware Photonic Graph State Generation: A Graphical Framework
Sobhan Ghanbari, Hoi-Kwong Lo·Sep 26, 2025
Photonic graph states are essential resources for quantum computation and communication. Deterministic emitter-based generation of graph states overcomes the scalability issues of probabilistic approaches; nonetheless, their experimental realization ...
ConQuER: Modular Architectures for Control and Bias Mitigation in IQP Quantum Generative Models
Xiaocheng Zou, Shijin Duan, Charles Fleming +4 more·Sep 26, 2025
Quantum generative models based on instantaneous quantum polynomial (IQP) circuits show great promise in learning complex distributions while maintaining classical trainability. However, current implementations suffer from two key limitations: lack o...
QuFoundry: Generating Data with Quantum Properties for Quantum Machine Learning Utility
Jason Ludmir, Ian Martin, Nicholas S. DiBrita +1 more·Sep 25, 2025
Quantum machine learning (QML) promises significant speedups, particularly when operating on quantum datasets. However, its progress is hindered by the scarcity of suitable training data. Existing synthetic data generation methods fall short in captu...
Critical dynamics and superconducting state preparation in the quenched Kitaev chain with pairing imbalance
Y. B. Shi, Y. X. Zhang, S. W. Liu +1 more·Sep 25, 2025
The dynamical balance of the pairing term plays a crucial role in the emergence of topological superconductivity in the p-wave spinless Kitaev chain, particularly in the non-Hermitian regime. In this work, we systematically investigate the effects of...
Dynamic RIS-Assisted THz Quantum Networks: Joint Optimization of Entanglement Generation and Fidelity under Channel Impairments
Shakil Ahmed·Sep 25, 2025
Quantum networks (QNs) supported by terahertz (THz) wireless links present a transformative alternative to fiber-based infrastructures, particularly in mobile and infrastructure-scarce environments. However, signal attenuation, molecular absorption, ...
Nonlocal Magic Generation and Information Scrambling in Noisy Clifford Circuits
Emanuel Dallas, Paolo Zanardi·Sep 24, 2025
In this work, we investigate the average information scrambling and nonlocal magic generation properties of random Clifford encoding-decoding circuits perturbed by local noise. We quantify these with the bipartite algebraic out-of-time order correlat...
AI-enhanced Quantum Simulation of Schwinger Model
Ao-Ning Wang, Min-Quan He, Z. D. Wang·Sep 24, 2025
The Schwinger Model from Quantum Electrodynamics (QED) has long served as a valuable simplified model for exploring key physical phenomena in Quantum Chromodynamics (QCD)-a field rich with fundamental insights but is substantially more complex. While...
Propagation of intense squeezed vacuum light in non-linear media
Javier Rivera-Dean, Deeksha Kanti, Philipp Stammer +5 more·Sep 23, 2025
Recent developments in quantum light engineering have enabled the use of infrared bright squeezed vacuum (BSV) femtosecond pulses in highly nonlinear optics, particularly strong field physics and high-harmonic generation. However, theoretical studies...
InterQnet: A Heterogeneous Full-Stack Approach to Co-designing Scalable Quantum Networks
Joaquin Chung, Daniel Dilley, Ely Eastman +21 more·Sep 23, 2025
Quantum communications have progressed significantly, moving from a theoretical concept to small-scale experiments to recent metropolitan-scale demonstrations. As the technology matures, it is expected to revolutionize quantum computing in much the s...
Steady state dynamics of quantum frequency combs in microring resonators
Patrick Tritschler, Torsten Ohms, André Zimmermann +1 more·Sep 23, 2025
Optical frequency combs are utilized in a wide range of optical applications, including atomic clocks, interferometers, and various sensing technologies. They are often generated via four-wave mixing (FWM) in chip-integrated microring resonators, a m...
Evidence of magnetospheric vacuum birefringence in the polarized X-rays of a radio magnetar
Rachael E. Stewart, Hoa Dinh Thi, George Younes +13 more·Sep 23, 2025
The quantum electrodynamics (QED) theory predicts that the quantum vacuum becomes birefringent in the presence of ultra-strong magnetic fields -- a fundamental effect yet to be directly observed. Magnetars, isolated neutron stars with surface fields ...
Quantum Autoencoder: An efficient approach to quantum feature map generation
Shengxin Zhuang, Yusen Wu, Xavier F. Cadet +6 more·Sep 23, 2025
Quantum machine learning methods often rely on fixed, hand-crafted quantum encodings that may not capture optimal features for downstream tasks. In this work, we study the power of quantum autoencoders in learning data-driven quantum representations....