Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
QASER: Breaking the Depth vs. Accuracy Trade-Off for Quantum Architecture Search
Ioana Moflic, Alexandru Paler, Akash Kundu·Nov 20, 2025
Quantum computing faces a key challenge: balancing the need for low circuit depth (crucial for fault tolerance) with the high accuracy required for complex computations like quantum chemistry and error correction, which typically require deeper circu...
Heralded quantum non-Gaussian states in pulsed levitating optomechanics
F. Bemani, A. A. Rakhubovsky, R. Filip·Nov 20, 2025
Optomechanics with levitated nanoparticles is a promising way to combine very different types of quantum non-Gaussian aspects induced by continuous dynamics in a nonlinear or time-varying potential with the ones coming from discrete quantum elements ...
Mixed-State Berry Curvature in quantum multiparameter estimations
Xiaoguang Wang, Xiao-Ming Lu, Yunbo Zhang +2 more·Nov 20, 2025
For pure states, the quantum Berry curvature was well studied. However, the quantum curvature for mixed states has received less attention. From the concept of symmetric logarithmic derivative, we introduce a mixed-state quantum curvature and find th...
Quantum artificial intelligence for pattern recognition at high-energy colliders: Tales of Three "Quantum's"
Hideki Okawa·Nov 20, 2025
Quantum computing applications are an emerging field in high-energy physics. Its ambitious fusion with artificial intelligence is expected to deliver significant efficiency gains over existing methods and/or enable computation from a fundamentally di...
Approximation rates of quantum neural networks for periodic functions via Jackson's inequality
Ariel Neufeld, Philipp Schmocker, Viet Khoa Tran·Nov 20, 2025
Quantum neural networks (QNNs) are an analog of classical neural networks in the world of quantum computing, which are represented by a unitary matrix with trainable parameters. Inspired by the universal approximation property of classical neural net...
Channel-selective frequency up-conversion for frequency-multiplexed quantum network
Shoichi Murakami, Shunsuke Hiraoka, Toshiki Kobayashi +2 more·Nov 20, 2025
We demonstrate channel-selective frequency up-conversion from telecom wavelengths around 1540 nm for optical fiber communication to visible wavelengths around 780 nm, based on second-order optical nonlinearity in a cavity of the converted modes. In o...
TRAM: A Transverse Relaxation Time-Aware Qubit Mapping Algorithm for NISQ Devices
Yifei Huang, Pascal Jahan Elahi, Ugo Varetto +3 more·Nov 20, 2025
Noisy intermediate-scale quantum (NISQ) devices impose dual challenges on quantum circuit execution: limited qubit connectivity requires extensive SWAP-gate routing, while time-dependent decoherence progressively degrades quantum information. Existin...
Quantum Reorientational Excitations in the Raman Spectrum of Hydrogen
Philip Dalladay-Simpson, Eric Edmund, Huixin Hu +2 more·Nov 20, 2025
Low-frequency Raman peaks, below 250 cm-1, are observed in hydrogen between 2-174 GPa and 13-300 K. The origin of these features is attributed to reorientational transitions (DeltaJ = 0; Q0-branch), which shift from the Rayleigh line as anisotropic i...
Nonadaptive One-Way to Hiding Implies Adaptive Quantum Reprogramming
Joseph Jaeger·Nov 20, 2025
An important proof technique in the random oracle model involves reprogramming it on hard to predict inputs and arguing that an attacker cannot detect that this occurred. In the quantum setting, a particularly challenging version of this considers ad...
Explicit construction of low-overhead gadgets for gates on quantum LDPC codes
Paul Webster, Samuel C. Smith, Lawrence Z. Cohen·Nov 20, 2025
Quantum low-density parity check (QLDPC) codes can significantly reduce the overhead of quantum computing, provided the methods for performing logical operations do not require substantial space and time resources. A popular method for performing log...
Molecular resonance identification in complex absorbing potentials via integrated quantum computing and high-throughput computing
Jingcheng Dai, Atharva Vidwans, Eric H. Wan +2 more·Nov 20, 2025
Recent advancements in quantum algorithms have reached a state where we can consider how to capitalize on quantum and classical computational resources to accelerate molecular resonance state identification. Here we identify molecular resonances with...
Universal work statistics in quenched gapless quantum systems
Donny Dwiputra, Mir Faizal, Francesco Marino +1 more·Nov 20, 2025
We study the universality of work statistics performed during a quench in gapless quantum systems. We show that the cumulants of work scale separately in the fast and slow quench regimes, following a power law analogous to the universal scaling in th...
A Primer on Quantum Machine Learning
Su Yeon Chang, M. Cerezo·Nov 20, 2025
Quantum machine learning (QML) is a computational paradigm that seeks to apply quantum-mechanical resources to solve learning problems. As such, the goal of this framework is to leverage quantum processors to tackle optimization, supervised, unsuperv...
Finite-Dimensional ZX-Calculus for Loop Quantum Gravity
Ben Priestley·Nov 20, 2025
Loop quantum gravity (LQG) attempts to unify general relativity with quantum physics to offer a complete description of the universe by quantising spacetime geometry, but the numerical calculations we encounter are extraordinarily difficult. Progress...
High-Fidelity Raman Spin-Dependent Kicks in the Presence of Micromotion
Haonan Liu, Varun D. Vaidya, Monica Gutierrez Galan +3 more·Nov 20, 2025
We propose high-fidelity single-qubit spin-dependent kicks (SDKs) for trapped ions using nanosecond Raman pulses via amplitude modulation of a continuous-wave laser with a tunable beat frequency. We develop a general method for maintaining SDK perfor...
A Graph-Theoretic Approach to Quantum Measurement Incompatibility
Daniel McNulty·Nov 20, 2025
Measurement incompatibility--the impossibility of jointly measuring certain quantum observables--is a fundamental resource for quantum information processing. We develop a graph-theoretic framework for quantifying this resource for large families of ...
A low-energy effective Hamiltonian for Landau quasiparticles
Pierre-Louis Taillat, Hadrien Kurkjian·Nov 20, 2025
We introduce a new renormalisation scheme to construct the Landau quasiparticles of Fermi fluids. The scheme relies on an energy cutoff $Λ$ which removes the quasi-resonant couplings, enabling the dressing of the particles into quasiparticles via a u...
Relativistic Covariance and Nonlinear Quantum Mechanics: Tomonaga-Schwinger Analysis
Stephen D. H. Hsu·Nov 19, 2025
We use the Tomonaga-Schwinger (TS) formulation of quantum field theory to determine when state-dependent additions to the local Hamiltonian density (i.e., modifications to linear Schrodinger evolution) violate relativistic covariance. We derive new o...
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...
Exact Stochastic Differential Equations for Quantum Reverse Diffusion
Einar Gabbassov·Nov 19, 2025
The ensemble-averaged dynamics of open quantum systems are typically irreversible. We show that this irreversibility need not hold at the level of individually monitored quantum trajectories. Our main results are analytical stochastic differential eq...