Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
High-fidelity collisional quantum gates with fermionic atoms
Petar Bojovi'c, T. Hilker, Si Wang +7 more·Jun 17, 2025
Quantum simulations of electronic structure and strongly correlated quantum phases are among the most promising applications of quantum computing. These computations benefit from native fermionic encodings 1,2 , enforcing fermionic statistics a...
Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms
Kasidit Srimahajariyapong, Supanut Thanasilp, Thiparat Chotibut·Jun 16, 2025
Variational quantum algorithms (VQAs) promise near-term quantum advantage, yet parametrized quantum states commonly built from the digital gate-based approach often suffer from scalability issues such as barren plateaus, where the loss landscape beco...
Quantum algorithm for solving generalized eigenvalue problems with application to the Schrödinger equation
Grzegorz Rajchel-Mieldzioć, Szymon Pliś, Emil Zak·Jun 16, 2025
Accurate computation of multiple eigenvalues of quantum Hamiltonians is essential in quantum chemistry, materials science, and molecular spectroscopy. Estimating excited-state energies is challenging for classical algorithms due to exponential scalin...
High-fidelity entanglement and coherent multi-qubit mapping in an atom array
Aruku Senoo, Alexander Baumgartner, Joanna W. Lis +5 more·Jun 16, 2025
Neutral atoms in optical tweezer arrays possess broad applicability for quantum information science, in computing, simulation, and metrology. Among atomic species, Ytterbium-171 is unique as it hosts multiple qubits, each of which is impactful for th...
Scalable Simulation of Quantum Many-Body Dynamics with Or-Represented Quantum Algebra
Lukas Broers, Rongyang Sun, Seiji Yunoki·Jun 16, 2025
High-performance numerical methods are essential not only for advancing quantum many-body physics but also for enabling integration with emerging quantum computing platforms. We present a scalable and general-purpose parallel algorithm for quantum si...
Fully Quantum Lattice Gas Automata Building Blocks for Computational Basis State Encodings
Călin A. Georgescu, Merel A. Schalkers, Matthias Möller·Jun 14, 2025
Lattice Gas Automata (LGA) is a classical method for simulating physical phenomena, including Computational Fluid Dynamics (CFD). Quantum LGA (QLGA) is the family of methods that implement LGA schemes on quantum computers. In recent years, QLGA has g...
Noise tolerance via reinforcement: Learning a reinforced quantum dynamics
Abolfazl Ramezanpour·Jun 14, 2025
The performance of quantum simulations heavily depends on the efficiency of noise mitigation techniques and error correction algorithms. Reinforcement has emerged as a powerful strategy to enhance the efficiency of learning and optimization algorithm...
Accelerated Inchworm Method with Tensor-Train Bath Influence Functional
Geshuo Wang, Yixiao Sun, Siyao Yang +1 more·Jun 14, 2025
We propose an efficient tensor-train-based algorithm for simulating open quantum systems with the inchworm method, where the reduced dynamics of the open quantum system is expressed as a perturbative series of high-dimensional integrals. Instead of e...
Universal cooling of quantum systems via randomized measurements
Josias Langbehn, George Mouloudakis, Emma King +5 more·Jun 13, 2025
Designing cooling protocols is believed to require knowledge of the system spectrum. In contrast, cooling in nature occurs whenever the system is coupled to a cold bath. How does nature know how to cool? A natural cold bath can be mimicked with a res...
Quantum Circuits for the Metropolis-Hastings Algorithm
Baptiste Claudon, Pablo Rodenas-Ruiz, Jean-Philip Piquemal +1 more·Jun 13, 2025
Szegedy's quantization of a reversible Markov chain provides a quantum walk whose spectral gap is quadratically larger than that of the classical walk. Quantum computers are therefore expected to provide a speedup of Metropolis-Hastings (MH) simulati...
Quantum Learning and Estimation for Coordinated Operation between Distribution Networks and Energy Communities
Yingrui Zhuang, Lin Cheng, Yuji Cao +4 more·Jun 13, 2025
Price signals from distribution networks (DNs) guide energy communities (ECs) in adjusting their energy usage, enabling effective coordination for reliable power system operation. However, this coordinated operation faces significant challenges due t...
Collective many-body dynamics in a solid-state quantum sensor controlled through nanoscale magnetic gradients
Piotr Put, Nathaniel T. Leitao, Haoyang Gao +13 more·Jun 13, 2025
Coherent collective dynamics of strongly interacting qubits are a central resource in quantum information science, with applications from quantum computing and simulation to metrology. While electronic spins interact strongly via dipolar couplings in...
Coupled Lindblad pseudomode theory for simulating open quantum systems
Zhen Huang, Gunhee Park, Garnet Kin-Lic Chan +1 more·Jun 12, 2025
Coupled Lindblad pseudomode theory is a promising approach for simulating non-Markovian quantum dynamics on both classical and quantum platforms, with dynamics that can be realized as a quantum channel. We provide theoretical evidence that the number...
Non-Abelian dynamics on a cube: improving quantum compilation through qudit-based simulations
Jacky Jiang, N. Klco, Olivia Di Matteo·Jun 12, 2025
Recent developments in mapping lattice gauge theories relevant to the Standard Model onto digital quantum computers identify scalable paths with well-defined quantum compilation challenges toward the continuum. As an entry point to these challenges, ...
Kibble-Zurek dynamical scaling hypothesis in the Google analog-digital quantum simulator of the XX model
Yintai Zhang, F. A. Bayocboc, Jacek Dziarmaga·Jun 12, 2025
State-of-the-art tensor networks are employed to simulate the Hamiltonian ramp in the analog-digital quantum simulation of the quantum phase transition to the quasi-long-range ordered phase of the two-dimensional square-lattice $XX$ model [T.I. Ander...
Adaptive Job Scheduling in Quantum Clouds Using Reinforcement Learning
Waylon Luo, Jiapeng Zhao, Tong Zhan +1 more·Jun 12, 2025
Present-day quantum systems face critical bottlenecks, including limited qubit counts, brief coherence intervals, and high susceptibility to errors—all of which obstruct the execution of large and complex circuits. The advancement of quantum algorith...
Lieb-Mattis states for robust entangled differential phase sensing
Raphael Kaubruegger, Diego Fallas Padilla, Athreya Shankar +9 more·Jun 11, 2025
We explore a two-node, entanglement-enhanced sensor network for differential phase sensing that exploits decoherence-free subspaces to suppress common-mode noise, a primary limitation of many state-of-the-art quantum sensors. We identify a class of e...
Universality of stochastic control of quantum chaos with measurement and feedback
Andrew A. Allocca, Devesh K. Verma, Sriram Ganeshan +1 more·Jun 11, 2025
We investigate universal features of measurement-and-feedback control of quantum chaotic dynamics by examining the quantum Arnold cat map, a paradigmatic model of quantum chaos. Inspired by probabilistic control of classical chaos, our protocol stoch...
Compact and programmable large-scale optical processor in free space
Maria Gorizia Ammendola, Nazanin Dehghan, Lukas Scarfe +4 more·Jun 11, 2025
Photonic circuits are central to classical and quantum information processing. While integrated technologies dominate, free-space architectures are emerging as attractive alternatives, offering broad bandwidth and direct manipulation of optical modes...
Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach
Atit Pokharel, Ratun Rahman, Thomas Morris +1 more·Jun 11, 2025
Quantum federated learning (QFL) has been recently introduced to enable a distributed privacy-preserving quantum machine learning (QML) model training across quantum processors (clients). Despite recent research efforts, existing QFL frameworks predo...