Tameem Albash

Tameem Albash

University of New Mexico

H-index: 35

North America-United States

About Tameem Albash

Tameem Albash, With an exceptional h-index of 35 and a recent h-index of 28 (since 2020), a distinguished researcher at University of New Mexico, specializes in the field of quantum physics, quantum computation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hamiltonian Learning using Machine Learning Models Trained with Continuous Measurements

Temperature Optimization for Parallel Tempering in Neural Networks

The Cost of Emulating a Small Quantum Annealing Problem in the Circuit-Model

Signatures of open and noisy quantum systems in single-qubit quantum annealing

Macrostates vs. microstates in the classical simulation of critical phenomena in quench dynamics of 1d ising models

Many-body localized discrete time crystal using Rydberg dressing

Diabatic quantum annealing for the frustrated ring model

The complexity of estimating order parameters in quench dynamics of 1D Ising models

Tameem Albash Information

University

Position

___

Citations(all)

5675

Citations(since 2020)

3364

Cited By

3755

hIndex(all)

35

hIndex(since 2020)

28

i10Index(all)

57

i10Index(since 2020)

49

Email

University Profile Page

University of New Mexico

Google Scholar

View Google Scholar Profile

Tameem Albash Skills & Research Interests

quantum physics

quantum computation

Top articles of Tameem Albash

Title

Journal

Author(s)

Publication Date

Hamiltonian Learning using Machine Learning Models Trained with Continuous Measurements

arXiv preprint arXiv:2404.05526

Kris Tucker

Amit Kiran Rege

Conor Smith

Claire Monteleoni

Tameem Albash

2024/4/8

Temperature Optimization for Parallel Tempering in Neural Networks

Bulletin of the American Physical Society

Conor Smith

Tameem Albash

Quinn Campbell

Andrew Baczewski

2024/3/6

The Cost of Emulating a Small Quantum Annealing Problem in the Circuit-Model

arXiv preprint arXiv:2402.17667

Javier Gonzalez-Conde

Zachary Morrell

Marc Vuffray

Tameem Albash

Carleton Coffrin

2024/2/27

Signatures of open and noisy quantum systems in single-qubit quantum annealing

Physical Review Applied

Zachary Morrell

Marc Vuffray

Andrey Y Lokhov

Andreas Bärtschi

Tameem Albash

...

2023/3/16

Macrostates vs. microstates in the classical simulation of critical phenomena in quench dynamics of 1d ising models

arXiv preprint arXiv:2310.08567

Anupam Mitra

Tameem Albash

Philip Daniel Blocher

Jun Takahashi

Akimasa Miyake

...

2023/10/12

Many-body localized discrete time crystal using Rydberg dressing

APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts

Anupam Mitra

Tameem Albash

Grant Biedermann

Ivan Deutsch

2023

Diabatic quantum annealing for the frustrated ring model

Quantum Science and Technology

Jeremy Côté

Frédéric Sauvage

Martín Larocca

Matías Jonsson

Lukasz Cincio

...

2023/10/6

The complexity of estimating order parameters in quench dynamics of 1D Ising models

APS March Meeting Abstracts

Anupam Mitra

Philip Blocher

Tameem Albash

Akimasa Miyake

Ivan Deutsch

2023

Simulating NISQ dynamics using quantum trajectories with few jumps

APS March Meeting Abstracts

Philip Blocher

Anupam Mitra

Tameem Albash

Akimasa Miyake

Ivan Deutsch

2023

Decoherence limits the cost to simulate an anharmonic oscillator

arXiv preprint arXiv:2307.00748

Tzula B Propp

Sayonee Ray

John B DeBrota

Tameem Albash

Ivan Deutsch

2023/7/3

Quantum-inspired tempering for ground state approximation using artificial neural networks

SciPost Physics

Tameem Albash

Conor Smith

Quinn Campbell

Andrew D Baczewski

2023/5/19

Decoherence limiting the cost to simulate an anharmonic oscillator

Physical Review A

Tzula B Propp

Sayonee Ray

John B DeBrota

Tameem Albash

Ivan H Deutsch

2023/12/22

3-regular three-XORSAT planted solutions benchmark of classical and quantum heuristic optimizers

Quantum Science and Technology

Matthew Kowalsky

Tameem Albash

Itay Hen

Daniel A Lidar

2022/2/14

On the emerging potential of quantum annealing hardware for combinatorial optimization

arXiv preprint arXiv:2210.04291

Byron Tasseff

Tameem Albash

Zachary Morrell

Marc Vuffray

Andrey Y Lokhov

...

2022/10/9

Non-Markovian Noise as a Resource for Suppressing Markovian Errors in Superconducting Qubits

APS March Meeting Abstracts

Evangelos Vlachos

Jeffrey Marshall

Haimeng Zhang

Tameem Albash

Eli Levenson-Falk

...

2022

Resources Estimates for DOE Quantum Simulation Problems.

Andrew David Baczewski

Quinn Campbell

Lucas Kocia

Benjamin CA Morrison

Antonio Enrico Russo

...

2022/6/1

Efficiency of calculation and robustness of local observables in open-system dynamics of Ising models

APS March Meeting Abstracts

Anupam Mitra

Philip Blocher

Tameem Albash

Akimasa Miyake

Ivan Deutsch

2022

High-quality thermal Gibbs sampling with quantum annealing hardware

Physical Review Applied

Jon Nelson

Marc Vuffray

Andrey Y Lokhov

Tameem Albash

Carleton Coffrin

2022/4/25

Customized quantum annealing schedules

Physical Review Applied

Mostafa Khezri

Xi Dai

Rui Yang

Tameem Albash

Adrian Lupascu

...

2022/4/4

Localization transition induced by programmable disorder

Physical Review B

Jaime LC da C Filho

Zoe Gonzalez Izquierdo

Andreia Saguia

Tameem Albash

Itay Hen

...

2022/4/1

See List of Professors in Tameem Albash University(University of New Mexico)