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

Decoherence limiting the cost to simulate an anharmonic oscillator

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

Diabatic quantum annealing for the frustrated ring model

Decoherence limits the cost to simulate an anharmonic oscillator

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

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

Google Scholar

Tameem Albash Skills & Research Interests

quantum physics

quantum computation

Top articles of Tameem Albash

Hamiltonian Learning using Machine Learning Models Trained with Continuous Measurements

arXiv preprint arXiv:2404.05526

2024/4/8

Tameem Albash
Tameem Albash

H-Index: 26

Temperature Optimization for Parallel Tempering in Neural Networks

Bulletin of the American Physical Society

2024/3/6

Tameem Albash
Tameem Albash

H-Index: 26

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

arXiv preprint arXiv:2402.17667

2024/2/27

Javier Gonzalez-Conde
Javier Gonzalez-Conde

H-Index: 0

Tameem Albash
Tameem Albash

H-Index: 26

Decoherence limiting the cost to simulate an anharmonic oscillator

Physical Review A

2023/12/22

Sayonee Ray
Sayonee Ray

H-Index: 2

Tameem Albash
Tameem Albash

H-Index: 26

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

arXiv preprint arXiv:2310.08567

2023/10/12

Diabatic quantum annealing for the frustrated ring model

Quantum Science and Technology

2023/10/6

Decoherence limits the cost to simulate an anharmonic oscillator

arXiv preprint arXiv:2307.00748

2023/7/3

Sayonee Ray
Sayonee Ray

H-Index: 2

Tameem Albash
Tameem Albash

H-Index: 26

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

SciPost Physics

2023/5/19

Tameem Albash
Tameem Albash

H-Index: 26

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

Physical Review Applied

2023/3/16

Tameem Albash
Tameem Albash

H-Index: 26

Many-body localized discrete time crystal using Rydberg dressing

APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts

2023

Anupam Mitra
Anupam Mitra

H-Index: 6

Tameem Albash
Tameem Albash

H-Index: 26

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

APS March Meeting Abstracts

2023

Simulating NISQ dynamics using quantum trajectories with few jumps

APS March Meeting Abstracts

2023

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

Quantum Science and Technology

2022/2/14

Tameem Albash
Tameem Albash

H-Index: 26

Itay Hen
Itay Hen

H-Index: 21

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

APS March Meeting Abstracts

2022

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

APS March Meeting Abstracts

2022

Master equation emulation and coherence preservation with classical control of a superconducting qubit

Physical Review A

2022/12/28

Haimeng Zhang
Haimeng Zhang

H-Index: 5

Tameem Albash
Tameem Albash

H-Index: 26

On the emerging potential of quantum annealing hardware for combinatorial optimization

arXiv preprint arXiv:2210.04291

2022/10/9

Tameem Albash
Tameem Albash

H-Index: 26

Resources Estimates for DOE Quantum Simulation Problems.

2022/6/1

Tameem Albash
Tameem Albash

H-Index: 26

High-quality thermal Gibbs sampling with quantum annealing hardware

Physical Review Applied

2022/4/25

Jon Nelson
Jon Nelson

H-Index: 1

Tameem Albash
Tameem Albash

H-Index: 26

Customized quantum annealing schedules

Physical Review Applied

2022/4/4

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