Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383896776> ?p ?o ?g. }
- W4383896776 abstract "Quantum many-body scarred systems host nonthermal excited eigenstates immersed in a sea of thermal ones. In cases where exact expressions for these special eigenstates are not known, it is computationally demanding to distinguish them from their exponentially many thermal neighbors. We propose a matrix-product-state (MPS) algorithm, dubbed DMRG-S, to extract such states at system sizes far beyond the scope of exact diagonalization. Using this technique, we obtain scarred eigenstates in Rydberg-blockaded chains of up to 80 sites and perform a finite-size scaling study to address the lingering question of the stability for the N'eel state revivals in the thermodynamic limit. Our method also provides a systematic way to obtain exact MPS representations for scarred eigenstates near the target energy without a priori knowledge. In particular, we find several new scarred eigenstates with exact MPS representations in kinetically constrained spin and clock models. The combination of numerical and analytical investigations in our work provides a new methodology for future studies of quantum many-body scars." @default.
- W4383896776 created "2023-07-12" @default.
- W4383896776 creator A5003673651 @default.
- W4383896776 creator A5025529150 @default.
- W4383896776 creator A5053257615 @default.
- W4383896776 creator A5057614578 @default.
- W4383896776 creator A5075163502 @default.
- W4383896776 date "2023-07-11" @default.
- W4383896776 modified "2023-10-16" @default.
- W4383896776 title "Extracting Quantum Many-Body Scarred Eigenstates with Matrix Product States" @default.
- W4383896776 cites W1965873870 @default.
- W4383896776 cites W1986168108 @default.
- W4383896776 cites W1997421308 @default.
- W4383896776 cites W2014586701 @default.
- W4383896776 cites W2034251480 @default.
- W4383896776 cites W2037768897 @default.
- W4383896776 cites W2042458092 @default.
- W4383896776 cites W2086612234 @default.
- W4383896776 cites W2100212137 @default.
- W4383896776 cites W2115068116 @default.
- W4383896776 cites W2127488783 @default.
- W4383896776 cites W2219591659 @default.
- W4383896776 cites W2252958391 @default.
- W4383896776 cites W2257877994 @default.
- W4383896776 cites W2531525489 @default.
- W4383896776 cites W2735457220 @default.
- W4383896776 cites W2749443713 @default.
- W4383896776 cites W2768237580 @default.
- W4383896776 cites W2769758822 @default.
- W4383896776 cites W2784178382 @default.
- W4383896776 cites W2809747253 @default.
- W4383896776 cites W2810419645 @default.
- W4383896776 cites W2810624092 @default.
- W4383896776 cites W2811167111 @default.
- W4383896776 cites W2905493219 @default.
- W4383896776 cites W2908417256 @default.
- W4383896776 cites W2914454605 @default.
- W4383896776 cites W2922626971 @default.
- W4383896776 cites W2954597801 @default.
- W4383896776 cites W2958292721 @default.
- W4383896776 cites W2972717674 @default.
- W4383896776 cites W2980515250 @default.
- W4383896776 cites W2981814694 @default.
- W4383896776 cites W2987812804 @default.
- W4383896776 cites W2999064855 @default.
- W4383896776 cites W3007273399 @default.
- W4383896776 cites W3008410686 @default.
- W4383896776 cites W3022303703 @default.
- W4383896776 cites W3036529118 @default.
- W4383896776 cites W3045710579 @default.
- W4383896776 cites W3099451552 @default.
- W4383896776 cites W3099497510 @default.
- W4383896776 cites W3101348952 @default.
- W4383896776 cites W3101557611 @default.
- W4383896776 cites W3102185734 @default.
- W4383896776 cites W3102335486 @default.
- W4383896776 cites W3102594775 @default.
- W4383896776 cites W3103713775 @default.
- W4383896776 cites W3104428404 @default.
- W4383896776 cites W3105335256 @default.
- W4383896776 cites W3105899731 @default.
- W4383896776 cites W3127401322 @default.
- W4383896776 cites W3129404680 @default.
- W4383896776 cites W3134796333 @default.
- W4383896776 cites W3165287444 @default.
- W4383896776 cites W3167036097 @default.
- W4383896776 cites W3184717496 @default.
- W4383896776 cites W3196716344 @default.
- W4383896776 cites W3203877579 @default.
- W4383896776 cites W3208254204 @default.
- W4383896776 cites W4200259663 @default.
- W4383896776 cites W4200400528 @default.
- W4383896776 cites W4210906846 @default.
- W4383896776 cites W4221143954 @default.
- W4383896776 cites W4221159793 @default.
- W4383896776 cites W4221161424 @default.
- W4383896776 cites W4284695413 @default.
- W4383896776 cites W4305015471 @default.
- W4383896776 cites W4312069668 @default.
- W4383896776 cites W4321614130 @default.
- W4383896776 cites W4362634452 @default.
- W4383896776 cites W4372278978 @default.
- W4383896776 cites W4372279044 @default.
- W4383896776 doi "https://doi.org/10.1103/physrevlett.131.020402" @default.
- W4383896776 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37505938" @default.
- W4383896776 hasPublicationYear "2023" @default.
- W4383896776 type Work @default.
- W4383896776 citedByCount "0" @default.
- W4383896776 crossrefType "journal-article" @default.
- W4383896776 hasAuthorship W4383896776A5003673651 @default.
- W4383896776 hasAuthorship W4383896776A5025529150 @default.
- W4383896776 hasAuthorship W4383896776A5053257615 @default.
- W4383896776 hasAuthorship W4383896776A5057614578 @default.
- W4383896776 hasAuthorship W4383896776A5075163502 @default.
- W4383896776 hasBestOaLocation W43838967762 @default.
- W4383896776 hasConcept C116225407 @default.
- W4383896776 hasConcept C121332964 @default.
- W4383896776 hasConcept C121864883 @default.
- W4383896776 hasConcept C145148216 @default.
- W4383896776 hasConcept C158693339 @default.