Faculty

Institution

Unit

Venue

Tameem Albash

Research Professor

University of New Mexico

Affiliations

School of Engineering

Electrical & Computer Engineering

Tameem Albash is currently serving as an Electrical & Computer Engineering Research Professor at University of New Mexico.

Honors

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Experiences

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Education

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Tameem Albash

University of New Mexico

Research Professor

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physics quantum information science quantum mechanics applied physics quantum computing quantum science computer science atomic physics condensed matter physics particle physics quantum technologies quantum annealer quantum error correction quantum adiabatic optimization applied mathematics spintronics condensed matter quantum theory error correction quantum simulation adiabatic quantum computation experimental signature quantum speedup quantum models quantum optimization boltzmann machines planted solutions nanotechnology mathematical optimization combinatorial optimization electronic materials simulated annealing quantum decoherence many-body quantum physics error correction code carbon-based materials spin-glass problems consistency tests quantum processes fluctuation theorems scaling advantage random ising problems open quantum systems quantum engineering

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization. Journal of Heuristics (2024)

Byron TasseffTameem AlbashZachary MorrellMarc VuffrayAndrey Y. LokhovSidhant MisraCarleton Coffrin

computer sciencequantum computingcombinatorial optimization

The Cost of Emulating a Small Quantum Annealing Problem in the Circuit-Model. arXiv (Cornell University) (2024)

Gonzalez-Conde, JavierMorrell, ZacharyVuffray, MarcAlbash, TameemCoffrin, Carleton

electrical engineering

Decoherence Limiting the Cost to Simulate an Anharmonic Oscillator. Physical review. A/Physical review, A (2023)

Tzula B. ProppSayonee RayJohn B. DeBrotaTameem AlbashIvan H. Deutsch

physicsanharmonic oscillatorparticle physics

Diabatic Quantum Annealing for the Frustrated Ring Model. Quantum Science and Technology (2023)

Jeremy CôtéFrédéric SauvageMartín LaroccaMatías JonssonLukasz CincioTameem Albash

frustrated ring modelquantum sciencequantum information science

Quantum-Inspired Tempering for Ground State Approximation Using Artificial Neural Networks. SciPost Physics (2023)

Tameem AlbashConor SmithQuinn CampbellAndrew D. Baczewski

artificial neural networksquantum-inspired temperingquantum sciencecomputer scienceground state approximationquantum information science

Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing. Physical Review Applied (2023)

Zachary MorrellMarc VuffrayAndrey Y. LokhovAndreas BärtschiTameem AlbashCarleton Coffrin

applied physicsquantum mechanics

3-Regular Three-Xorsat Planted Solutions Benchmark of Classical and Quantum Heuristic Optimizers. Quantum Science and Technology (2022)

Matthew KowalskyTameem AlbashItay HenDaniel A Lidar

quantum technologiesquantum sciencequantum information sciencemathematical optimization

Customized Quantum Annealing Schedules. Physical Review Applied (2022)

Mostafa KhezriXi DaiRui YangTameem AlbashAdrian LupascuDaniel A. Lidar

applied physicsquantum information science

High-Quality Thermal Gibbs Sampling With Quantum Annealing Hardware. Physical Review Applied (2022)

Jon NelsonMarc VuffrayAndrey Y. LokhovTameem AlbashCarleton Coffrin

physicsapplied physicssamplingmaterials science

Localization Transition Induced by Programmable Disorder. Physical review. B./Physical review. B (2022)

Jaime L. C. da C. FilhoZoe Gonzalez IzquierdoAndreia SaguiaTameem AlbashItay HenMarcelo S. Sarandy

physicsbiophysicsprogrammable disorderneurosciencelocalization transition

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Tameem Albash

Research Professor

University of New Mexico

Affiliations

School of Engineering

Electrical & Computer Engineering

Tameem Albash is currently serving as an Electrical & Computer Engineering Research Professor at University of New Mexico.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Tameem Albash

University of New Mexico

Research Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization. Journal of Heuristics (2024)

Byron TasseffTameem AlbashZachary MorrellMarc VuffrayAndrey Y. LokhovSidhant MisraCarleton Coffrin

computer sciencequantum computingcombinatorial optimization

The Cost of Emulating a Small Quantum Annealing Problem in the Circuit-Model. arXiv (Cornell University) (2024)

Gonzalez-Conde, JavierMorrell, ZacharyVuffray, MarcAlbash, TameemCoffrin, Carleton

electrical engineering

Decoherence Limiting the Cost to Simulate an Anharmonic Oscillator. Physical review. A/Physical review, A (2023)

Tzula B. ProppSayonee RayJohn B. DeBrotaTameem AlbashIvan H. Deutsch

physicsanharmonic oscillatorparticle physics

Diabatic Quantum Annealing for the Frustrated Ring Model. Quantum Science and Technology (2023)

Jeremy CôtéFrédéric SauvageMartín LaroccaMatías JonssonLukasz CincioTameem Albash

frustrated ring modelquantum sciencequantum information science

Quantum-Inspired Tempering for Ground State Approximation Using Artificial Neural Networks. SciPost Physics (2023)

Tameem AlbashConor SmithQuinn CampbellAndrew D. Baczewski

artificial neural networksquantum-inspired temperingquantum sciencecomputer scienceground state approximationquantum information science

Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing. Physical Review Applied (2023)

Zachary MorrellMarc VuffrayAndrey Y. LokhovAndreas BärtschiTameem AlbashCarleton Coffrin

applied physicsquantum mechanics

3-Regular Three-Xorsat Planted Solutions Benchmark of Classical and Quantum Heuristic Optimizers. Quantum Science and Technology (2022)

Matthew KowalskyTameem AlbashItay HenDaniel A Lidar

quantum technologiesquantum sciencequantum information sciencemathematical optimization

Customized Quantum Annealing Schedules. Physical Review Applied (2022)

Mostafa KhezriXi DaiRui YangTameem AlbashAdrian LupascuDaniel A. Lidar

applied physicsquantum information science

High-Quality Thermal Gibbs Sampling With Quantum Annealing Hardware. Physical Review Applied (2022)

Jon NelsonMarc VuffrayAndrey Y. LokhovTameem AlbashCarleton Coffrin

physicsapplied physicssamplingmaterials science

Localization Transition Induced by Programmable Disorder. Physical review. B./Physical review. B (2022)

Jaime L. C. da C. FilhoZoe Gonzalez IzquierdoAndreia SaguiaTameem AlbashItay HenMarcelo S. Sarandy

physicsbiophysicsprogrammable disorderneurosciencelocalization transition

1
2
3
4
5
8
10 / page

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