Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
ATLAS: Efficient Atom Rearrangement for Defect-Free Neutral-Atom Quantum Arrays Under Transport Loss
Otto Savola, Alexandru Paler·Nov 20, 2025
Neutral-atom quantum computers encode qubits in individually trapped atoms arranged in optical lattices. Achieving defect-free atom configurations is essential for high-fidelity quantum gates and scalable error correction, yet stochastic loading and ...
Generation of spin-squeezed states using dipole-coupled spins
Yifan Song, Nabiha Hasan, Susumu Takahashi·Nov 19, 2025
Spins in solids and molecules are promising for applications of quantum sensing technology. The sensitivity of the quantum sensing depends on how precisely spin observables can be determined in the measurement, and is intrinsically limited by the unc...
Quantum measurement tomography with mini-batch stochastic gradient descent
Akshay Gaikwad, Manuel Sebastian Torres, Anton Frisk Kockum·Nov 19, 2025
Drawing inspiration from gradient-descent methods developed for data processing in quantum state tomography [\href{https://iopscience.iop.org/article/10.1088/2058-9565/ae0baa}{Quantum Sci.~Technol.~\textbf{10} 045055 (2025)}] and quantum process tomo...
Efficient quantum state preparation of multivariate functions using tensor networks
Marco Ballarin, Juan José García-Ripoll, David Hayes +1 more·Nov 19, 2025
For the preparation of high-dimensional functions on quantum computers, we introduce tensor network algorithms that are efficient with regard to dimensionality, optimize circuits composed of hardware-native gates and take gate errors into account dur...
Navigating Quantum Missteps in Agent-Based Modeling: A Schelling Model Case Study
C. Nico Barati, Arie Croitoru, Ross Gore +5 more·Nov 19, 2025
Quantum computing promises transformative advances, but remains constrained by recurring misconceptions and methodological pitfalls. This paper demonstrates a fundamental incompatibility between traditional agent-based modeling (ABM) implementations ...
Stochastic unravelings for Heisenberg picture and trace-nonpreserving dynamics
Federico Settimo, Kimmo Luoma, Dariusz Chruściński +3 more·Nov 19, 2025
Stochastic unravelings allow to efficiently simulate open system dynamics, yet their application has traditionally been restricted to master equations that preserve both Hermiticity and trace. In this work, we introduce a general framework that exten...
Refraction Hall Effect
Ronika Sarkar, Arka Bandyopadhyay, Awadhesh Narayan +1 more·Nov 19, 2025
We introduce a new mechanism that produces a Hall-like response in time-reversal-invariant materials, driven entirely by geometric effects. Specifically, we demonstrate that a tilted potential interface causes electron wave packets to undergo a refra...
Tensor-network approach to quantum optical state evolution beyond the Fock basis
Nikolay Kapridov, Egor Tiunov, Dmitry Chermoshentsev·Nov 19, 2025
Understanding the quantum evolution of light in nonlinear media is central to the development of next-generation quantum technologies. Yet modeling these processes remains computationally demanding, as the required resources grow rapidly with photon ...
Beyond Trotterization: Variational Product Formulas for Quantum Simulation
Ibsal Assi, Michael Vogl, Meenu Kumari +1 more·Nov 19, 2025
We propose a variational alternative to the Trotter-Suzuki decomposition that provides greater control over errors while preserving the unitary structure of time evolution. The variational parameters in our ansatz are derived from a global action pri...
Optimus-Q: Utilizing Federated Learning in Adaptive Robots for Intelligent Nuclear Power Plant Operations through Quantum Cryptography
Sai Puppala, Ismail Hossain, Jahangir Alam +1 more·Nov 19, 2025
The integration of advanced robotics in nuclear power plants (NPPs) presents a transformative opportunity to enhance safety, efficiency, and environmental monitoring in high-stakes environments. Our paper introduces the Optimus-Q robot, a sophisticat...
A fast and frugal Gaussian Boson Sampling emulator
Tom Dodd, Javier Martínez-Cifuentes, Oliver Thomson Brown +2 more·Nov 18, 2025
If classical algorithms have been successful in reproducing the estimation of expectation values of observables of some quantum circuits using off-the-shelf computing resources, matching the performance of the most advanced quantum devices on samplin...
Exact Factorization of Unitary Transformations with Spin-Adapted Generators
Paarth Jain, Artur F. Izmaylov, Erik R. Kjellgren·Nov 18, 2025
Preserving spin symmetry in variational quantum algorithms is essential for producing physically meaningful electronic wavefunctions. Implementing spin-adapted transformations on quantum hardware, however, is challenging because the corresponding fer...
Phonon scattering from spatial relaxation of one-dimensional Bose gases
Bilal Alilou, Clément Duval, Frederick Del Pozo +1 more·Nov 18, 2025
We theoretically investigate the nonequilibrium relaxation of a spatial density modulation in a one-dimensional, weakly interacting Bose gas, and its connection to the equilibrium scattering rate $\smash{γ_k\propto k^{3/2}}$ of the system's phononic ...
Multi-GPU Quantum Circuit Simulation and the Impact of Network Performance
W. Michael Brown, Anurag Ramesh, Thomas Lubinski +2 more·Nov 18, 2025
As is intrinsic to the fundamental goal of quantum computing, classical simulation of quantum algorithms is notoriously demanding in resource requirements. Nonetheless, simulation is critical to the success of the field and a requirement for algorith...
Measuring Reactive-Load Impedance with Transmission-Line Resonators Beyond the Perturbative Limit
Xuanjing Chu, Jinho Park, Jesse Balgley +8 more·Nov 18, 2025
We develop an analytic framework to extract circuit parameters and loss tangent from superconducting transmission-line resonators terminated by reactive loads, extending analysis beyond the perturbative regime. The formulation yields closed-form rela...
Pattern-Dependent Performance of the Bernstein-Vazirani Algorithm
Muhammad AbuGhanem·Nov 18, 2025
Quantum computers promise to redefine the boundaries of computational science, offering the potential for exponential speedups in solving complex problems across chemistry, optimization, and materials science. Yet, their practical utility remains con...
The PID Controller Strikes Back: Classical Controller Helps Mitigate Barren Plateaus in Noisy Variational Quantum Circuits
Zhehao Yi, Rahul Bhadani·Nov 18, 2025
Variational quantum algorithms (VQAs) combine the advantages of classical optimization and quantum computation, making them one of the most promising approaches in the Noisy Intermediate-Scale Quantum (NISQ) era. However, when optimized using gradien...
Simulating quantum electrodynamics in 2+1 dimensions with qubits and qumodes
Victor Ale, Tommaso Rainaldi, Enrique Rico +2 more·Nov 18, 2025
We develop a hybrid qubit-qumode framework for simulating quantum electrodynamics in 2+1 dimensions. In this approach, fermionic matter fields are represented by qubits, while U(1) gauge fields are encoded in continuous-variable bosonic modes whose c...
Explicit block-encoding for partial differential equation-constrained optimization
Yuki Sato, Jumpei Kato, Hiroshi Yano +2 more·Nov 18, 2025
Partial differential equation (PDE)-constrained optimization, where an optimization problem is subject to PDE constraints, arises in various applications such as design, control, and inference. Solving such problems is computationally demanding becau...
Quantum Biology, Quantum Simulation and Quantum Coherent Devices
Rong-Hang Chen, Jing Dong, Wen Yang +2 more·Nov 18, 2025
Many living organisms can exploit quantum mechanical effects to gain distinct biological advantages. In plants, photosynthesis uses quantum coherence to achieve near 100% efficiency in energy transfer. With advances in experimental techniques, two-di...