Papers

Q. Greffe, A. Hugot, S. Zhang +6 more·Mar 25, 2026

Spin-phonon interactions have a dual role in emerging spin-based quantum technologies. While they can be a limitation to device performance through decoherence, they also serve as a critical resource for coherent spin control, detection, and the real...

María Cea, Marcel Cech, Federico Carollo +2 more·Mar 25, 2026

Coexistence of different dynamical phases is a hallmark of glassy dynamics. This is well-studied in classical systems where the underlying theoretical framework is that of large deviation theory. The presence of a similar phase coexistence has been s...

Bharadwaj Chowdary Mummaneni, Manas Sajjan·Mar 25, 2026

We investigate how Restricted Boltzmann Machines (RBMs) encode antiferromagnetic order when trained as variational ansätze for one-dimensional Heisenberg spin rings with periodic boundary conditions. Through systematic hidden unit analysis and ablati...

Mar Tejedor, Michele Grossi, Cenk Tüysüz +2 more·Mar 25, 2026

Hybrid quantum-classical workflows combine quantum processing units (QPUs) with classical hardware to address computational tasks that are challenging or infeasible for conventional systems alone. Coordinating these heterogeneous resources at scale d...

Matthias G. Krauss, Luise C. Butzke, Christiane P. Koch·Mar 25, 2026

The prevalence of quantum crosstalk is an important barrier to scaling frequency-addressable qubit architectures, with dynamic crosstalk being particularly difficult to detect and suppress. This form of crosstalk refers to unintended interactions dri...

Jucai Zhai, Muhammad Abdullah, Boyang Chen +6 more·Mar 25, 2026

In scientific computing, the formulation of numerical discretisations of partial differential equations (PDEs) as untrained convolutional layers within Convolutional Neural Networks (CNNs), referred to by some as Neural Physics, has demonstrated good...

Mattia Moroder, Felix C. Binder, John Goold·Mar 25, 2026

Thermodynamic computing harnesses the relaxation dynamics of physical systems to perform matrix operations. A key limitation of such approaches is the often long thermalization time required for the system to approach equilibrium with sufficient accu...

Vojtěch Novák, Tomáš Bezděk, Ivan Zelinka +2 more·Mar 25, 2026

This paper provides a historical analysis of the IEEE CEC Single Objective Optimization competition results (2010-2024). We analyze how benchmark functions shaped winning algorithms, identifying the 2014 introduction of dense rotation matrices as a k...

Peng-Fei Wang, Lei Huang, Miao-Miao Wei +2 more·Mar 25, 2026

We investigate the entanglement dynamics of two giant atoms coupled to a common waveguide. By introducing additional phase modulation at each coupling point, every photon propagation path is jointly controlled by two distinct coupling phases, enablin...

Mayank Joshi, Tanumoy Pramanik, Mengting Jiang +9 more·Mar 25, 2026

Miniaturized quantum light sources that operate directly in optical fibers are an attractive platform for optical quantum technologies. However, most miniaturized spontaneous parametric down- conversion (SPDC) sources still rely on objective-lens-bas...

Ximing Wang, Chengran Yang, Chidambaram Aditya Somasundaram +2 more·Mar 25, 2026

Quantum circuits that generate coherent superpositions of stochastic processes are key to many downstream quantum-accelerated tasks, such as risk analysis, importance sampling, and DNA sequencing. However, traditional methods for designing such circu...

Ranjit Singh, Leonid A. Barinov, Grigori G. Amosov +1 more·Mar 25, 2026

We investigate the quantum evolution of the pump field in second-harmonic generation under strong pump depletion. Starting from a coherent state, the pump develops a nonclassical phase-space structure resembling a Schrödinger cat state. This behavior...

Giuseppe Bevilacqua, Valerio Biancalana, Roberto Cecchi·Mar 25, 2026

We present a system for generating arbitrary, triaxial magnetic waveforms with a spectral content spanning from DC to tens of kHz, a critical capability for quantum control and spin manipulation. To compensate for amplifier-coil dynamics, we implemen...

Sooryansh Asthana, Conan Alexander, Anubhav Kumar Srivastava +2 more·Mar 25, 2026

Quantum probes that enable enhanced exploration and characterization of complex systems are central to modern science, spanning applications from biology to astrophysics and chemical design. In large many-body quantum systems, interactions delocalize...

Qi-Cheng Wu, Yan-Hui Zhou, Biao-liang Ye +4 more·Mar 25, 2026

Exceptional points (EPs) in non-Hermitian systems give rise to enhanced sensitivity and chiral state transfer, which are important for quantum technologies. Although parameter trajectories encircling EPs can control symmetric and chiral state transfe...

Linhao Li, Yuan Yao·Mar 25, 2026

We investigate the extension of pure-state symmetry protected topological phases to mixed-state regime with a strong U(1) and a weak $\mathbb{Z}_2$ symmetries in one-dimensional spin systems by the concept of quantum channels. We propose a correspond...

A. S. Holevo, A. V. Utkin·Mar 25, 2026

We suggest a tight inequality for norms in $d$-dimensional space $l_p $ which has simple formulation but appears hard to prove. We give a proof for $d=3$ and provide a detailed numerical check for $d\leq 200$ confirming the conjecture. We conclude wi...

Xi Wang, Hui Ren, L. -N. Sun +5 more·Mar 25, 2026

Nonadiabatic holonomic quantum computation (NHQC) offers intrinsic resilience to certain control imperfections. However, conventional nonadiabatic holonomic protocols are constrained by the fixed-pulse-area condition, which limits flexibility and pro...

Ngoc Nhi Nguyen, Thai T Vu, John Le +3 more·Mar 25, 2026

Quantum circuit initialisation is a key bottleneck in variational quantum algorithms (VQAs), strongly impacting optimisation stability and convergence. Recent work shows that large language models (LLMs) can synthesise high-quality variational circui...

Shi-Yuan Ma, Jérémie Laydevant, Mandar M. Sohoni +3 more·Mar 25, 2026

Machine vision, including object recognition and image reconstruction, is a central technology in many consumer devices and scientific instruments. The design of machine-vision systems has been revolutionized by the adoption of end-to-end optimizatio...