Quantum Physics · Physics & Astronomy
Quantum Physics
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3,630 papers, from 4 September 2026 to 5 November 2026: 3,630 arXiv preprints.
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Newest papers, page 181
Scaling Hindi Quantum Natural Language Processing through Automatic Pregroup Supertagging
Quantum Natural Language Processing (QNLP) uses pregroup grammars to translate grammatical structure into diagrammatic representations and quantum circuits.Conditional Quantum Flow Matching for Data-Scarce Physiological Signal Augmentation
Generative augmentation is a standard remedy for label scarcity in physiological signal classification, but existing quantum generative models start from uninformative noise, ignoring class…Coherent Floquet quantum reservoirs for molecular property prediction
Quantum reservoir computing (QRC) uses quantum dynamics to represent input histories for prediction through a trained classical readout.Generative Replay Mitigates Sample Starvation in Quantum Architecture Search
Reinforcement learning (RL) can automate quantum architecture search, but its scalability is limited when useful circuit trajectories become rare in the rapidly expanding search space.Learning structural balance of graphs from quantum spectral features
We develop a quantum approach to spectral feature extraction from the density of states (DOS) of a problem-dependent Hamiltonian, and apply it to machine learning on signed graphs.Reinforcement Learning for Syndrome Extraction
A key subtask of quantum error correction is to extract a syndrome that, if nontrivial, signals an error.Learning Sparse Quantum States
We study the problem of tomography for $k$-sparse quantum states.Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems
High Performance Computing-Quantum Computing (HPCQC) platforms expose multiple Quantum Processing Units (QPUs) that may differ in size, topology, native gates, and noise characteristics.The Sample Complexity of Quantum Entanglement Allocation
How many past requests are needed to decide which qubits should share entanglement?Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers
Credit default prediction is a tabular classification problem in which modest gains in F1 translate directly into reduced financial exposure.Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements
We determine the optimal sample complexity of low-rank quantum state tomography when each measurement may act jointly on at most $t$ samples.A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features
Quantum-inspired classical algorithms have dequantized several quantum machine learning routines by replacing quantum linear-algebra subroutines with classical counterparts.Tight Time-Space Lower Bounds for Collision Finding and Element Distinctness under Label Symmetry
How much memory is needed to retain the quantum speedup for collision finding?On the Power of Adaptivity in Testing Quantum States in Fidelity
We study the problems of quantum state certification, equivalence testing and independence testing.Distributed Quantum Property Testing with Quantum Carrier Pigeons
We introduce a framework for distributed quantum inference under communication constraints.Near-Optimal Quantum Lower Bounds for Convex Optimization via Fourier Rank
We establish a near-linear quantum query lower bound for high-accuracy convex optimization over an explicit family of $n$-dimensional ellipsoids.Tensor Network Moral Graph Recovery of Discrete Probability Distributions
We present a method for recovering the moral graph of a causal DAG from a probability distribution over discrete variables, using fully connected tensor networks (FCTNs) with…A Block Tensor Train Burer-Monteiro Framework for Low-Rank Quantum State Tomography
Quantum state tomography is a fundamental technique for estimating the state of a quantum system from measured data and plays a crucial role in evaluating the performance of quantum devices.Riemannian Optimization for Multi-Player Quantum Games on Product Unitary Manifolds
Quantum game theory is an extension of classical game theory that uses quantum principles in game theory.Topology Obstructs Pure Foundation Neural Quantum States
Foundation models for ground states in spin-1/2 systems are a promising method for problems ranging from quantum chemistry to identifying new phase diagrams.