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PY 502, Computational Physics, Fall 2018 Anders W. Sandvik, Boston University Numerical diagonalization studies of quantum spin chains Introduction to computational studies of spin chains Using basis states incorporating conservation laws


  1. PY 502, Computational Physics, Fall 2018 Anders W. Sandvik, Boston University Numerical diagonalization studies of quantum spin chains Introduction to computational studies of spin chains Using basis states incorporating conservation laws (symmetries) • magnetization conservation, momentum states, parity, spin inversion • discussion without group theory - only basic quantum mechanics and common sense needed Lanczos diagonalization (ground state, low excitations) How to characterize di ff erent kinds of ground states • critical ground state of the Heisenberg chain • quantum phase transition to a valence-bond solid in a J 1 -J 2 chain

  2. Quantum spins Spin magnitude S; basis states |S z1 ,S z2 ,...,S zN > , S zi = -S, ..., S-1, S Commutation relations: i , S y [ S x i ] = i � S z (we set � = 1) i i , S y [ S x j ] = [ S x i , S z j ] = . . . = [ S z i , S z j ] = 0 ( i � = j ) Ladder (raising and lowering) operators: i + iS y i − iS y S + i = S x i = S x i , S − i � i | S z i + 1) | S z S + S ( S + 1) � S z i ( S z i ⇥ = i + 1 ⇥ , � i | S z i � 1) | S z S ( S + 1) � S z i ( S z i ⇥ = i � 1 ⇥ , S − Spin (individual) squared operator: S 2 i | S z i � = S ( S + 1) | S z i � S=1/2 spins; very simple rules | S z i = + 1 | S z i = � 1 2 ⌅ = | ⇥ i ⌅ , 2 ⌅ = | ⇤ i ⌅ S + S z i | ⇥ i ⌅ = + 1 2 | ⇥ i ⌅ i | ⇥ i ⌅ = | ⇤ i ⌅ i | ⇥ i ⌅ = 0 S − S z S + i | ⇤ i ⌅ = � 1 2 | ⇤ i ⌅ i | ⇤ i ⌅ = | ⇥ i ⌅ i | ⇤ i ⌅ = 0 S −

  3. Quantum spin models Ising, XY, Heisenberg hamiltonians • the spins always have three (x,y,z) components • interactions may contain 1 (Ising), 2 (XY), or 3 (Heisenberg) components � � J ij S z i S z j = 1 (Ising) H = J ij σ i σ j 4 � ij ⇥ � ij ⇥ � j + S y i S y � i S � j + S � J ij [ S + i S + J ij [ S x i S x j ] = 1 (XY) H = j ] 2 ⇥ ij ⇤ ⇥ ij ⇤ � J ij ⌅ S i · ⌅ � i S � j + S � J ij [ S z i S z 2 ( S + i S + j + 1 H = S j = j )] (Heisenberg ⇥ ij ⇤ ⇥ ij ⇤ Quantum statistical mechanics M − 1 � Q ⇥ = 1 ⇥ e − H/T ⇤ � Q e − H/T ⇥ � e − E n /T Z = Tr = Z Tr n =0 Large size M of the Hilbert space; M=2 N for S=1/2 - di ffi cult problem to find the eigenstates and energies - we are also interested in the ground state (T → 0) - for classical systems the ground state is often trivial

  4. Why study quantum spin systems? Solid-state physics • localized electronic spins in Mott insulators (e.g., high-Tc cuprates) • large variety of lattices, interactions, physical properties • search for “exotic” quantum states in such systems (e.g., spin liquid) Ultracold atoms (in optical lattices) • some spin hamiltonians can be engineered (ongoing efforts) • some bosonic systems very similar to spins (e.g., “hard-core” bosons) Quantum information theory / quantum computing • possible physical realizations of quantum computers using interacting spins • many concepts developed using spins (e.g., entanglement) • quantum annealing Generic quantum many-body physics • testing grounds for collective quantum behavior, quantum phase transitions • identify “Ising models” of quantum many-body physics Particle physics / field theory / quantum gravity • some quantum-spin phenomena have parallels in high-energy physics • e.g., spinon confinement-deconfinement transition • spin foams, string nets: models to describe “emergence” of space-time and elementary particles

  5. Prototypical Mott insulator; high-Tc cuprates (antiferromagnets) CuO 2 planes, localized spins on Cu sites - Lowest-order spin model: S=1/2 Heisenberg - Super-exchange coupling, J ≈ 1500K � S i · ⌅ ⌅ H = J S j Many other quasi-1D and quasi-2D cuprates � i,j ⇥ • chains, ladders, impurities and dilution, frustrated interactions, ... Cu (S = 1 / 2) • Zn (S = 0) • Ladder systems non-magnetic impurities/dilution - even/odd effects - dilution-driven phase transition

  6. The antiferromagnetic (Néel) state and quantum fluctuations The ground state of the Heisenberg model (bipartite 2D or 3D lattice) � S i · ⌅ ⌅ � i S � j + S � 2 ( S + i S + [ S z i S z j + 1 H = J S j = J j )] ⇥ ij ⇤ ⇥ ij ⇤ Does the long-range “staggered” order survive quantum fluctuations? • order parameter: staggered (sublattice) magnetization; [H,m s ] ≠ 0 N m s = 1 � i = ( − 1) x i + y i (2D square lattice) � � i ⌃ ⌃ S i , N i =1 m s = 1 � ⇥ S A − ⌅ ⌅ ⌅ S B N If there is order (m s >0), the direction of the vector is fixed (N= ∞ ) • conventionally this is taken as the z direction \ N � m s ⇥ = 1 � φ i � S z i ⇥ = | � S z i ⇥ | N i =1 • For S → ∞ (classical limit) <m s > → S • what happens for small S (especially S=1/2)?

  7. Numerical diagonalization of the hamiltonian To find the ground state (maybe excitations, T>0 properties) of the Heisenberg S=1/2 chain N N � � i +1 + S y i S y [ S x i S x i +1 + S z i S z H = J S i · S i +1 = J i +1 ] , i =1 i =1 N � [ S z i S z i +1 + 1 2 ( S + i S + = J i +1 + S − i +1 )] i S − i =1 Simplest way computationally; enumerate the states • construct the hamiltonian matrix using bit-representation of integers | 0 ⇤ = | ⇥ , ⇥ , ⇥ , . . . , ⇥⇤ (= 0 . . . 000) | 1 ⇤ = | � , ⇥ , ⇥ , . . . , ⇥⇤ (= 0 . . . 001) H ab = h b | H | a i | 2 ⇤ = | ⇥ , � , ⇥ , . . . , ⇥⇤ (= 0 . . . 010) a, b ∈ { 0 , 1 , . . . , 2 N − 1 } | 3 ⇤ = | � , � , ⇥ , . . . , ⇥⇤ (= 0 . . . 011) bit representation perfect for S=1/2 systems • use >1 bit/spin for S>1/2, or integer vector • construct H by examining/flipping bits

  8. spin-state manipulations with bit operations Let a[i] refer to the i:th bit of an intege r a • In Fortran 90 the bit-level function ieor(a,2**i) can be used to flip bit i of a • bits i and j can be flipped using ieor(a,2**i+2**j) a 2 i + 2 j ieor( a, 2 i + 2 j ) Translations and reflections of states Other Fortran 90 functions ishftc(a,-1,N) • shifts N bits to the “left” btest(a,b) • checks (T or F) bit b of a ibset(a,b), ibclr(a,b) • sets to 1 or 1 bit b of a

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