activity
20142025
most citedSample-efficient learning of quantum many-body systems

131 citations · 192 across the 11 of their papers we have counts for

collaborators

12 papers

quant-ph2025

Power and Limitations of Linear Programming Decoder for Quantum LDPC Codes

Shouzhen Gu, Mehdi Soleimanifar

Decoding quantum error-correcting codes is a key challenge in enabling fault-tolerant quantum computation. In the classical setting, linear programming (LP) decoders offer provable…

quant-ph2024

Mixing time of quantum Gibbs sampling for random sparse Hamiltonians

Akshar Ramkumar, Mehdi Soleimanifar

Providing evidence that quantum computers can efficiently prepare low-energy or thermal states of physically relevant interacting quantum systems is a major challenge in quantum in…

quant-ph2024★ 3 cited

When can classical neural networks represent quantum states?

Tai-Hsuan Yang, Mehdi Soleimanifar, Thiago Bergamaschi +1

A naive classical representation of an n-qubit state requires specifying exponentially many amplitudes in the computational basis. Past works have demonstrated that classical neura…

quant-ph2024★ 1 cited

Quantum advantage from measurement-induced entanglement in random shallow circuits

Adam Bene Watts, David Gosset, Yinchen Liu +1

We study random constant-depth quantum circuits in a two-dimensional architecture. While these circuits only produce entanglement between nearby qubits on the lattice, long-range e…

quant-ph2024★ 1 cited

Certifying almost all quantum states with few single-qubit measurements

Hsin-Yuan Huang, John Preskill, Mehdi Soleimanifar

Certifying that an n-qubit state synthesized in the lab is close to the target state is a fundamental task in quantum information science. However, existing rigorous protocols eith…

quant-ph2022

Testing matrix product states

Mehdi Soleimanifar, John Wright

Devising schemes for testing the amount of entanglement in quantum systems has played a crucial role in quantum computing and information theory. Here, we study the problem of test…

quant-ph2021★ 12 cited

Improved approximation algorithms for bounded-degree local Hamiltonians

Anurag Anshu, David Gosset, Karen J. Morenz Korol +1

We consider the task of approximating the ground state energy of two-local quantum Hamiltonians on bounded-degree graphs. Most existing algorithms optimize the energy over the set…

quant-ph2020★ 1 cited

From communication complexity to an entanglement spread area law in the ground state of gapped local Hamiltonians

Anurag Anshu, Aram W. Harrow, Mehdi Soleimanifar

In this work, we make a connection between two seemingly different problems. The first problem involves characterizing the properties of entanglement in the ground state of gapped…

quant-ph2020★ 131 cited

Sample-efficient learning of quantum many-body systems

Anurag Anshu, Srinivasan Arunachalam, Tomotaka Kuwahara +1

We study the problem of learning the Hamiltonian of a quantum many-body system given samples from its Gibbs (thermal) state. The classical analog of this problem, known as learning…

quant-ph2019★ 37 cited

Classical algorithms, correlation decay, and complex zeros of partition functions of quantum many-body systems

Aram Harrow, Saeed Mehraban, Mehdi Soleimanifar

In this paper, we present a quasi-polynomial time classical algorithm that estimates the partition function of quantum many-body systems at temperatures above the thermal phase tra…

quant-ph2015★ 6 cited

No-iteration of unknown quantum gates

Mehdi Soleimanifar, Vahid Karimipour

We propose a new no-go theorem by proving the impossibility of constructing a deterministic quantum circuit that iterates a unitary oracle by calling it only once. Different scheme…

cs.IT2014

Adaptive Molecule Transmission Rate for Diffusion Based Molecular Communication

Mohammad Movahednasab, Mehdi Soleimanifar, Amin Gohari +2

In this paper, a simple memory limited transmitter for molecular communication is proposed, in which information is encoded in the diffusion rate of the molecules. Taking advantage…