Exceptional point

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search

In quantum physics, exceptional points[1] are singularities in the parameter space where two or more eigenstates (eigenvalues and eigenvectors) coalesce. These points appear in dissipative systems, which make the Hamiltonian describing the system non-Hermitian.

Photonics

[edit | edit source]

The losses in photonic systems, are a feature used to study non-Hermitian physics.[2] Adding non-Hermiticity (such as dichroism) to photonic systems which present Dirac points transforms these degeneracy points into pairs of exceptional points. This has been demonstrated experimentally in numerous photonic systems such as microcavities[3] and photonic crystals.[4] The first demonstration of exceptional points was made by Woldemar Voigt in 1902 for optical modes in crystals.[5]

Fidelity and fidelity susceptibility

[edit | edit source]

In condensed matter and many-body physics, fidelity is often used to detect quantum phase transitions in parameter space. The definition of fidelity is the inner product of the ground state wave functions of two adjacent points in parameter space, F=|ψ0(λ)|ψ0(λ+ϵ)|2, where ϵ is a small quantity. After series expansion, F=1χFϵ2+𝒪(ϵ3), the first-order correction term of fidelity is zero, and the coefficient of the second-order correction term is called the fidelity susceptibility. The fidelity susceptibility diverges toward positive infinity as the parameters approach the quantum phase transition point.

limλλQCP𝕖χF=

For the exceptional points of non-Hermitian quantum systems, after appropriately generalizing the definition of fidelity,

F=ψ0L(λ)|ψ0R(λ+ϵ)ψ0L(λ+ϵ)|ψ0R(λ)

the real part of the fidelity susceptibility diverges toward negative infinity when the parameters approach the exceptional points.[6][7]

limλλEP𝕖χF=

For non-Hermitian quantum systems with PT symmetry, fidelity can be used to analyze whether exceptional points are of higher-order. Many numerical methods such as the Lanczos algorithm, Density Matrix Renormalization Group (DMRG), and other tensor network algorithms are relatively easy to calculate only for the ground state, but have many difficulties in computing the excited states. Because fidelity only requires the ground state calculations, this approach allows most numerical methods to analyze non-Hermitian systems without excited states, and find the exceptional point, as well as to determine whether it is a higher-order exceptional point.

See also

[edit | edit source]

References

[edit | edit source]
  1. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  2. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  3. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  4. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  5. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  6. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
  7. ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).