Tameem Albash

5.0k total citations · 1 hit paper
58 papers, 3.0k citations indexed

About

Tameem Albash is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Nuclear and High Energy Physics. According to data from OpenAlex, Tameem Albash has authored 58 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 34 papers in Atomic and Molecular Physics, and Optics and 10 papers in Nuclear and High Energy Physics. Recurrent topics in Tameem Albash's work include Quantum Computing Algorithms and Architecture (38 papers), Quantum Information and Cryptography (38 papers) and Quantum and electron transport phenomena (21 papers). Tameem Albash is often cited by papers focused on Quantum Computing Algorithms and Architecture (38 papers), Quantum Information and Cryptography (38 papers) and Quantum and electron transport phenomena (21 papers). Tameem Albash collaborates with scholars based in United States, Canada and Spain. Tameem Albash's co-authors include Daniel A. Lidar, Clifford V. Johnson, Paolo Zanardi, Sergio Boixo, Itay Hen, Kristen L. Pudenz, Federico M. Spedalieri, Veselin G. Filev, Arnab Kundu and Walter Vinci and has published in prestigious journals such as Physical Review Letters, Nature Communications and Reviews of Modern Physics.

In The Last Decade

Tameem Albash

54 papers receiving 2.9k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adiabatic quantum computation

2018 863 citations Tameem Albash, Daniel A. Lidar Reviews of Modern Physics profile →

Peers

Countries citing papers authored by Tameem Albash

Since Specialization

Citations

This map shows the geographic impact of Tameem Albash's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tameem Albash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tameem Albash more than expected).

Fields of papers citing papers by Tameem Albash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tameem Albash. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tameem Albash. The network helps show where Tameem Albash may publish in the future.

Co-authorship network of co-authors of Tameem Albash

This figure shows the co-authorship network connecting the top 25 collaborators of Tameem Albash. A scholar is included among the top collaborators of Tameem Albash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tameem Albash. Tameem Albash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Macroproperties vs. microstates in the classical simulation of critical phenomena in quench dynamics of 1D Ising models 2025 ·New Journal of Physics ·(unknown), Tameem Albash, (unknown), (unknown), Akimasa Miyake, Grant Biedermann, Ivan Deutsch	1
2	Quantum-inspired tempering for ground state approximation using artificial neural networks 2023 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Conor Smith, Tameem Albash, (unknown), Andrew Baczewski	0
3	Diabatic quantum annealing for the frustrated ring model 2023 ·Quantum Science and Technology ·(unknown), Frédéric Sauvage, Martín Larocca, (unknown), Łukasz Cincio, Tameem Albash	8
4	Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing 2023 ·Physical Review Applied ·(unknown), Marc Vuffray, Andrey Y. Lokhov, Andreas Bärtschi, Tameem Albash, Carleton Coffrin	7
5	Decoherence limiting the cost to simulate an anharmonic oscillator 2023 ·Physical review. A ·(unknown), (unknown), (unknown), Tameem Albash, Ivan Deutsch	3
6	3-regular three-XORSAT planted solutions benchmark of classical and quantum heuristic optimizers 2022 ·Quantum Science and Technology ·(unknown), Tameem Albash, Itay Hen, Daniel A. Lidar	32
7	Limitations of error corrected quantum annealing in improving the performance of Boltzmann machines 2020 ·Quantum Science and Technology ·(unknown), Tameem Albash, Daniel A. Lidar	16
8	Adiabatic quantum computation breakdown → 2018 ·Reviews of Modern Physics ·Tameem Albash, Daniel A. Lidar	863
9	Finite temperature quantum annealing solving exponentially small gap problem with non-monotonic success probability 2018 ·Nature Communications ·(unknown), Tameem Albash, Daniel A. Lidar	30
10	Evidence for a Limited Quantum Speedup on a Quantum Annealer 2017 ·arXiv (Cornell University) ·Tameem Albash, Daniel A. Lidar	4
11	Temperature Scaling Law for Quantum Annealing Optimizers 2017 ·Physical Review Letters ·Tameem Albash, V. Martı́n-Mayor, Itay Hen	36
12	Off-diagonal expansion quantum Monte Carlo 2017 ·Physical review. E ·Tameem Albash, (unknown), Itay Hen	10
13	Mean Field Analysis of Quantum Annealing Correction 2016 ·Physical Review Letters ·Shunji Matsuura, Hidetoshi Nishimori, Tameem Albash, Daniel A. Lidar	25
14	Simulated-quantum-annealing comparison between all-to-all connectivity schemes 2016 ·Physical review. A ·Tameem Albash, Walter Vinci, Daniel A. Lidar	16
15	Performance of two different quantum annealing correction codes 2015 ·Quantum Information Processing ·(unknown), Tameem Albash, Daniel A. Lidar	25
16	Quantum annealing correction with minor embedding 2015 ·Physical Review A ·Walter Vinci, Tameem Albash, Gerardo A. Paz-Silva, Itay Hen, Daniel A. Lidar	62
17	Distinguishing Classical and Quantum Models for the D-Wave Device 2014 ·arXiv (Cornell University) ·Walter Vinci, Tameem Albash, (unknown), P. A. Warburton, Daniel A. Lidar	17
18	Benchmarking the D-Wave adiabatic quantum optimizer via 2D-Ising spin glasses 2013 ·Bulletin of the American Physical Society ·Zhihui Wang, Sergio Boixo, Tameem Albash, Daniel A. Lidar	1
19	Fluctuation theorems for quantum processes 2013 ·Physical Review E ·Tameem Albash, Daniel A. Lidar, (unknown), Paolo Zanardi	80
20	Experimental signature of programmable quantum annealing 2013 ·Nature Communications ·Sergio Boixo, Tameem Albash, Federico M. Spedalieri, Nicholas Chancellor, Daniel A. Lidar	197

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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