4 citations · 4 across the 12 of their papers we have counts for
9 papers · 1 filter
Spatiotemporal quantum advantages for rare-event sampling
Akshat Gupta, Jianjun Chen, Chengran Yang +4
In a world fraught with uncertainty, it behooves us to consider the most disastrous possible outcomes, in order that we can best mitigate against them. Often these are extreme risk…
How much randomness in a quantum process can be explained using memory?
Derek D. C. Chang, Graeme D. Berk, Mile Gu
For a stochastic process describing observations of a dynamical system, complexity science provides systematic methods to decompose the information produced into true irreducible r…
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…
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…
Time-ordered free energy in correlated quantum systems: An agentic approach
Ruo Cheng Huang, Isha Singh Le Xue, Yuxuan Qu +3
How much work can an agent extract from a temporal sequence of quantum states when it can only operate online under causal constraints---deciding which energy extraction method to…
Quantum Circuit Fragments and Link Products in Continuous Variables
Amalina Lai, Graeme D. Berk, Minjeong Song +1
Quantum circuits are often drawn as complete processes, with fixed inputs and outputs. In many quantum-information tasks, however, the natural object is only a fragment of such a c…
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…
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…
Variational Quantum Dimension Reduction for Recurrent Quantum Models
Chufan Lyu, Ximing Wang, Mile Gu +2
Recurrent quantum models (RQMs) realize sequential quantum processes through repeated application of a unitary operation on a memory system coupled with a series of output register…