Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Beyond Stellar Rank: Control Parameters for Scalable Optical Non-Gaussian State Generation
F. Hanamura, Kan Takase, Hironari Nagayoshi +6 more·Sep 8, 2025
Advanced quantum technologies rely on non-Gaussian states of light, essential for universal quantum computation, fault-tolerant error correction, and quantum sensing. Their practical realization, however, faces hurdles: simulating large multi-mode ge...
Machine learning applications in cold atom quantum simulators
Henning Schlomer, A. Bohrdt·Sep 8, 2025
As ultracold atom experiments become highly controlled and scalable quantum simulators, they require sophisticated control over high-dimensional parameter spaces and generate increasingly complex measurement data that need to be analyzed and interpre...
Quantum algorithms for general nonlinear dynamics based on the Carleman embedding
David Jennings, K. Korzekwa, M. Lostaglio +3 more·Sep 8, 2025
Important nonlinear dynamics, such as those found in plasma and fluid systems, are typically hard to simulate on classical computers. Thus, if fault-tolerant quantum computers could efficiently solve such nonlinear problems, it would be a transformat...
Quantum Advantage via Solving Multivariate Polynomials
Pierre Briaud, Itai Dinur, Riddhi Ghosal +3 more·Sep 8, 2025
In this work, we propose a new way to (non-interactively, verifiably) demonstrate quantum advantage by solving the average-case $\mathsf{NP}$ search problem of finding a solution to a system of (underdetermined) constant degree multivariate equations...
Super-Quadratic Quantum Speed-ups and Guessing Many Likely Keys
Timo Glaser, Alexander May, Julian Nowakowski·Sep 8, 2025
We study the fundamental problem of guessing cryptographic keys, drawn from some non-uniform probability distribution $D$, as e.g. in LPN, LWE or for passwords. The optimal classical algorithm enumerates keys in decreasing order of likelihood. The op...
Quantum Approximate and Quantum Walk Optimization Approaches to Set Balancing
Nikhil Kowshik, Sayan Manna, S. P. Pal·Sep 8, 2025
We explore the application of variational quantum algorithms to the NP-hard set balancing problem, a critical challenge in clinical trial design and experimental scheduling. The problem is mapped to an Ising model, with tailored Quadratic Unconstrain...
Time-frequency Entangled Photon Mediated CCZ Gate
Chenhui Wang, Weilong Wang, Yangyang Fei +4 more·Sep 8, 2025
High-fidelity native multi-qubit operations are crucial to efficient quantum circuit compilation due to their ability of shortening circuit depth and enhence the performance. However, the design and implementation of these gates remain a challenge. H...
Density Matrix-based Dynamics for Quantum Robotic Swarms
Maria Mannone, Mahathi Anand, Peppino Fazio +1 more·Sep 7, 2025
In a robotic swarm, parameters such as position and proximity to the target can be described in terms of probability amplitudes. This idea led to recent studies on a quantum approach to the definition of the swarm, including a block-matrix representa...
Quantum spatial best-arm identification via quantum walks
Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana +3 more·Sep 7, 2025
Quantum reinforcement learning has emerged as a framework combining quantum computation with sequential decision-making, and applications to the multi-armed bandit (MAB) problem have been reported. The graph bandit problem extends the MAB setting by ...
From Membership-Privacy Leakage to Quantum Machine Unlearning
Junjian Su, Runze He, Guanghui Li +4 more·Sep 7, 2025
Quantum machine learning (QML) has the potential to achieve quantum advantage for specific tasks by combining quantum computation with classical machine learning (ML). In classical ML, a significant challenge is membership-privacy leakage, whereby an...
High-order Magnus Expansion for Hamiltonian Simulation
Di Fang, Diyi Liu, Shuchen Zhu·Sep 7, 2025
Efficient simulation of quantum dynamics with time-dependent Hamiltonians is important not only for time-varying systems but also for time-independent Hamiltonians in the interaction picture. Such simulations are more challenging than their time-inde...
A brain-inspired paradigm for scalable quantum vision
Chenghua Duan, Xiuxing Li, Wending Zhao +6 more·Sep 7, 2025
One of the fundamental tasks in machine learning is image classification, which serves as a key benchmark for validating algorithm performance and practical potential. However, effectively processing high-dimensional, detail-rich images, a capability...
Quantum Radar for ISAC: Sum-Rate Optimization
Abdulmohsen A. Alsaui, O. Dobre, Neel Kanth Kundu +2 more·Sep 7, 2025
Integrated sensing and communication (ISAC) is emerging as a key enabler for spectrum-efficient and hardware-converged wireless networks. However, classical radar systems within ISAC architectures face fundamental limitations under low signal power a...
Genetic optimization of ansatz expressibility for enhanced variational quantum algorithm performance
Manish Mallapur, Ronit Raj, Ankur Raina·Sep 6, 2025
Variational quantum algorithms have emerged as a leading paradigm that extracts practical computation from near-term intermediate-scale quantum devices, enabling advances in quantum chemistry simulations, combinatorial optimization, and quantum machi...
Quantum Theory of Distributed-Feedback Parametric Amplifiers and Oscillators
Alex O. C. Davis, Alex I. Flint·Sep 6, 2025
Optical parametric oscillators are among the best-developed quantum light sources, having already been adopted in precision measurement and underpinning various quantum computing and communication paradigms. Meanwhile, progress in photonic structures...
Deterministic nuclear spin squeezing and squeezing by continuous measurement using vector and tensor light shifts
Ali Moshiri, Alice Sinatra·Sep 6, 2025
We study the joint effects of vector and tensor light shifts in a set of large spin atoms, prepared in a polarized state and interacting with light. Depending on the ratio $ε$ between tensor and vector coupling and a measurement rate $Γ$, we identify...
Tunneling of bosonic qubits under local dephasing through microscopic approach
Alberto Ferrara, Farzam Nosrati, Andrea Smirne +2 more·Sep 6, 2025
We present a microscopic derivation of a master equation for two-component bosons (bosonic qubits) which tunnel between spatially separated modes under local dephasing noise. Starting from the full system-bath Hamiltonian with Lorentzian coupling dis...
Hanbury Brown-Twiss interference with massively parallel spectral multiplexing for broadband light
Sergei Kulkov, Ondrej Matousek, Lou-Ann Pestana De Sousa +10 more·Sep 6, 2025
Two-photon interference is a fundamental resource for quantum technologies and optical quantum computing, underpinning precision measurements, scalable entanglement distribution, and the operation of photonic circuits and quantum network protocols. H...
Entanglement Asymmetry and Quantum Mpemba Effect for Non-Abelian Global Symmetry
Harunobu Fujimura, Soichiro Shimamori·Sep 6, 2025
Entanglement asymmetry is a measure that quantifies the degree of symmetry breaking at the level of a subsystem. In this work, we investigate the entanglement asymmetry in $\widehat{su}(N)_k$ Wess-Zumino-Witten model and discuss the quantum Mpemba ef...
Non-linear cooling and control of a mechanical quantum harmonic oscillator
M. Simoni, Ivan Rojkov, M. Mazzanti +7 more·Sep 6, 2025
Non-linearities are a key feature allowing non-classical control of quantum harmonic oscillators. However, when non-linearities are strong, designing protocols for control is often difficult, placing a barrier to exploiting these properties fully. He...