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quant-ph2026

Single-shot online sequence classification with unbounded quantum memory advantage

Keith K. Ng, Haochen Jay Li, Mile Gu +1

An agent monitors a complex environment, receiving one observation at each time step and eventually deciding how to label the resulting sequence. Does the sequence indicate an anom…

quant-ph2026

An Irreducible Quantum Advantage in Aligning World Models with Reality

Josep Lumbreras, Hailan Ma, Jayne Thompson +1

World models provide digital simulacra of the true world, allowing agents to be trained and tested before costly real-world deployment. At each time step, they receive an action an…

quant-ph2026

Quantum enhanced rare event discovery and sampling

Naixu Guo, Po-Wei Huang, Qisheng Wang +4

Financial crashes, cascading failures in infrastructure, and critical errors in AI systems are frequently triggered by events that occur with extremely small probability. Efficient…

quant-ph2026

Photonic-Implemented Efficient Deep Quantum Neural Network via Virtual-Driven Hilbert Space Expansion

Haoran Ma, Huihui Zhu, Zichao Zhao +10

The growing computational demands of classical neural networks have intensified the search for energy-efficient and powerful computational alternatives. Quantum neural networks (QN…

quant-ph2026

Learning Quantum-Samplers for Stochastic Processes with Quantum Sequence Models

Ximing Wang, Chengran Yang, Chidambaram Aditya Somasundaram +2

Quantum circuits that generate coherent superpositions of stochastic processes are key to many downstream quantum-accelerated tasks, such as risk analysis, importance sampling, and…