iiinova — where your digital self keeps evolving

Vishnu Iyer

@vishnu-psiyer.bsky.social

PhD student in quantum information and complexity theory at The University of Texas at Austin. Previously EECS @ UC Berkeley.

Posts Replies Media

Reposted by Vishnu Iyer

Justin Yirka @justinyirka.bsky.social · 07/04/2025

Just released a new paper on arXiv: "Quantum Search with In-Place Queries." Check it out: scirate.com/arxiv/2504.0... Work with Sandia National Labs, coauthors Blake Holman and Ronak Ramachandran In short, we develop a new quantum search algorithm. #Quantum #QuantumComputing #arXiv

151

Vishnu Iyer @vishnu-psiyer.bsky.social · 16/04/2025

I'm excited to share a new preprint about learning unitary operators of mildly-interacting fermions! arxiv.org/abs/2504.11318 @antonioannamele.bsky.social posed this very interesting question to me and I'm glad to have made progress towards it.

arxiv.org

Mildly-Interacting Fermionic Unitaries are Efficiently Learnable

Recent work has shown that one can efficiently learn fermionic Gaussian unitaries, also commonly known as nearest-neighbor matchcircuits or non-interacting fermionic unitaries. However, one could ask ...

0173

Reposted by Vishnu Iyer

Antonio Anna Mele @antonioannamele.bsky.social · 16/04/2025

I'm super happy to see this paper out on ArXiv today: arxiv.org/abs/2504.11318 by @vishnu-psiyer.bsky.social, presenting a quantum algorithm to learn t-doped fermionic Gaussian unitaries. This work solves one of the open questions we raised in our previous paper: journals.aps.org/prxquantum/a....

arxiv.org

Mildly-Interacting Fermionic Unitaries are Efficiently Learnable

2101