Masoud Mohseni
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Explore the profile of Masoud Mohseni including associated specialties, affiliations and a list of published articles.
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Articles
24
Citations
851
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Recent Articles
1.
Dobrynin D, Renaudineau A, Hizzani M, Strukov D, Mohseni M, Strachan J
Phys Rev E
. 2024 Nov;
110(4-2):045308.
PMID: 39562922
Physics-based Ising machines (IM) have been developed as dedicated processors for solving hard combinatorial optimization problems with higher speed and better energy efficiency. Generally, such systems employ local search heuristics...
2.
Mohseni M, Rams M, Isakov S, Eppens D, Pielawa S, Strumpfer J, et al.
Phys Rev E
. 2024 Jan;
108(6-2):065303.
PMID: 38243510
Sampling a diverse set of high-quality solutions for hard optimization problems is of great practical relevance in many scientific disciplines and applications, such as artificial intelligence and operations research. One...
3.
Niu M, Zlokapa A, Broughton M, Boixo S, Mohseni M, Smelyanskyi V, et al.
Phys Rev Lett
. 2022 Jun;
128(22):220505.
PMID: 35714256
Generative adversarial networks (GANs) are one of the most widely adopted machine learning methods for data generation. In this work, we propose a new type of architecture for quantum generative...
4.
Huang H, Broughton M, Cotler J, Chen S, Li J, Mohseni M, et al.
Science
. 2022 Jun;
376(6598):1182-1186.
PMID: 35679419
Quantum technology promises to revolutionize how we learn about the physical world. An experiment that processes quantum data with a quantum computer could have substantial advantages over conventional experiments in...
5.
Mi X, Ippoliti M, Quintana C, Greene A, Chen Z, Gross J, et al.
Nature
. 2021 Nov;
601(7894):531-536.
PMID: 34847568
Quantum many-body systems display rich phase structure in their low-temperature equilibrium states. However, much of nature is not in thermal equilibrium. Remarkably, it was recently predicted that out-of-equilibrium systems can...
6.
Mi X, Roushan P, Quintana C, Mandra S, Marshall J, Neill C, et al.
Science
. 2021 Oct;
374(6574):1479-1483.
PMID: 34709938
Interactions in quantum systems can spread initially localized quantum information into the exponentially many degrees of freedom of the entire system. Understanding this process, known as quantum scrambling, is key...
7.
Rams M, Mohseni M, Eppens D, Jalowiecki K, Gardas B
Phys Rev E
. 2021 Sep;
104(2-2):025308.
PMID: 34525633
We devise a deterministic algorithm to efficiently sample high-quality solutions of certain spin-glass systems that encode hard optimization problems. We employ tensor networks to represent the Gibbs distribution of all...
8.
Huang H, Broughton M, Mohseni M, Babbush R, Boixo S, Neven H, et al.
Nat Commun
. 2021 May;
12(1):2631.
PMID: 33976136
The use of quantum computing for machine learning is among the most exciting prospective applications of quantum technologies. However, machine learning tasks where data is provided can be considerably different...
9.
King A, Raymond J, Lanting T, Isakov S, Mohseni M, Poulin-Lamarre G, et al.
Nat Commun
. 2021 Feb;
12(1):1113.
PMID: 33602927
The promise of quantum computing lies in harnessing programmable quantum devices for practical applications such as efficient simulation of quantum materials and condensed matter systems. One important task is the...
10.
Arute F, Arya K, Babbush R, Bacon D, Bardin J, Barends R, et al.
Nature
. 2019 Oct;
574(7779):505-510.
PMID: 31645734
The promise of quantum computers is that certain computational tasks might be executed exponentially faster on a quantum processor than on a classical processor. A fundamental challenge is to build...