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20232026
most citedDiagonalization of large many-body Hamiltonians on a quantum processor

23 citations · 27 across the 12 of their papers we have counts for

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Showing 2026 · quant-phShow all

6 papers · 2 filters

quant-ph2026

A note on tomography of states with low stabilizer rank

Arkopal Dutt

In this note, we consider tomography of -qubit quantum states that are promised to have stabilizer rank i.e., admit a stabilizer decomposition of $|ψ\rangle = \s…

quant-ph2026

Quantum simulation of non-Markovian dynamical systems

Abtin Ameri, Arkopal Dutt, Hari Krovi

Existing quantum algorithms for simulating dynamical systems -- from Hamiltonian simulation to linear and nonlinear differential equations solvers -- simulate Markovian dynamics, i…

quant-ph2026

Learning Clifford-structured quantum unitaries and Hamiltonians

Arkopal Dutt, Dale Jacobs, John Jeang +2

Learning algorithms for structured quantum unitaries and Hamiltonians have primarily considered classes of processes that are local or sparse in the Pauli basis. We turn our attent…

quant-ph2026

Separating quantum circuits from classical LLMs

Srinivasan Arunachalam, Arkopal Dutt, Hari Krovi +1

Modern large language models - transformers and diffusion language models - are built around two canonical algorithmic tasks: prediction and generation. We prove unconditional sepa…

quant-ph2026

Tomography of quantum states with bounded extent

Srinivasan Arunachalam, Arkopal Dutt

We give a general framework for tomography of states that have bounded-extent with respect to a structured class of states. Let be a family of -qubit states such th…

quant-ph2026

Simulating dynamics of RLC circuits with a quantum differential-algebraic equations solver

Arkopal Dutt, Anirban Chowdhury, Kristan Temme +1

We introduce a quantum algorithm for simulating the dynamics of electrical circuits consisting of resistors, inductors and capacitors (aka RLC circuits) along with power sources. G…