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siddhant

@siddhantm.bsky.social

quantum many-body physics @ princeton

17 Posts409 Follower313 Folgt
siddhant@siddhantm.bsky.social · 2mo ago

Belief propagation is reshaping how we think about tensor networks, and now it can be improved systematically. Check it out! “PEPS is hard” may be becoming less absolute. Using these techniques in practice? I’d love to hear what works, what doesn’t, and where they break down.

APS journals@apsjournals.aps.org · 2mo ago

A theoretical framework for belief propagation in tensor networks introduces an innovation called a cluster expansion based on statistical mechanics, allowing it to overcome longstanding limitations on accurate approximation. Read more in PRX Quantum: https://go.aps.org/4gvmeI6

A series of six diagrams that illustrates the contraction of a five-vertex tensor network, represented as the sum of the belief propagation vacuum and the generalized loop excitations. Each tensor network is denoted by a pattern of five connected blue circles (labelled T1, T2, T3, T4, and T5) connected by solid black lines or red lines. The figure portrays the sum of five of the network diagrams on the right, and the complete contraction on the left.
siddhant@siddhantm.bsky.social · last yr.

Just posted our latest work on quantum "radiation" metrology! We investigate how the information radiated by an open quantum system can be harnessed to learn about its dynamics. Check it out here: arxiv.org/abs/2504.13815

Metrology of open quantum systems from emitted radiation

We explore the task of learning about the dynamics of a Markovian open quantum system by monitoring the information it radiates into its environment. For an open system with Hilbert space dimension $D...

arxiv.org