activity
20222026
most citedThe stellar decomposition of Gaussian quantum states

3 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2026

A physical and universal model of bosonic computations with Solovay-Kitaev theorem

Dorian Rudolph, Arsalan Motamedi, Dhruva Sambrani +4

Bosonic quantum systems are among the leading architectures for quantum information processing, offering continuous-variable degrees of freedom with strong error-correction capabil…

quant-ph2026

Quantum state isomorphism problems for groups

Alexandru Gheorghiu, Dale Jacobs, Saeed Mehraban +1

We study the computational complexity of quantum state isomorphism problems under group actions: given two quantum circuits that prepare pure or mixed states, decide whether the tw…

quant-ph2025★ 1 cited

Energy, Bosons and Computational Complexity

Dorian Rudolph, Arsalan Motamedi, Dhruva Sambrani +4

We investigate the role of energy, i.e. average photon number, as a resource in the computational complexity of bosonic systems. We show three sets of results: (1. Energy growth ra…

quant-ph2025★ 3 cited

The stellar decomposition of Gaussian quantum states

Arsalan Motamedi, Yuan Yao, Kasper Nielsen +4

We introduce the stellar decomposition, a novel method for characterizing non-Gaussian states produced by photon-counting measurements on Gaussian states. Given an -mode Gau…

quant-ph2024

Bosonic Quantum Computational Complexity

Ulysse Chabaud, Michael Joseph, Saeed Mehraban +1

Quantum computing involving physical systems with continuous degrees of freedom, such as the quantum states of light, has recently attracted significant interest. However, a well-d…

quant-ph2023

Quantumness and Learning Performance in Reservoir Computing with a Single Oscillator

Arsalan Motamedi, Hadi Zadeh-Haghighi, Christoph Simon

We explore the power of reservoir computing with a single oscillator in learning time series using quantum and classical models. We demonstrate that this scheme learns the Mackey--…

quant-ph2022

Gibbs Sampling of Continuous Potentials on a Quantum Computer

Arsalan Motamedi, Pooya Ronagh

Gibbs sampling from continuous real-valued functions is a challenging problem of interest in machine learning. Here we leverage quantum Fourier transforms to build a quantum algori…