Lattice QCD

Template:Short description Template:Sidebar with collapsible lists Lattice QCD is a well-established non-perturbative approach to solving the quantum chromodynamics (QCD) theory of quarks and gluons. It is a lattice gauge theory formulated on a grid or lattice of points in space and time. When the size of the lattice is taken infinitely large and its sites infinitesimally close to each other, the continuum QCD is recovered.

Analytic or perturbative solutions in low-energy QCD are hard or impossible to obtain due to the highly nonlinear nature of the strong force and the large coupling constant at low energies. This formulation of QCD in discrete rather than continuous spacetime naturally introduces a momentum cut-off at the order 1/a, where a is the lattice spacing, which regularizes the theory. As a result, lattice QCD is mathematically well-defined. Most importantly, lattice QCD provides a framework for investigation of non-perturbative phenomena such as confinement and quark–gluon plasma formation.

In lattice QCD, fields representing quarks are defined at lattice sites (which leads to fermion doubling), while the gluon fields are defined on the links connecting neighboring sites. This approximation approaches continuum QCD as the spacing between lattice sites is reduced to zero. Because the computational cost of numerical simulations increases as the lattice spacing decreases, results must be extrapolated to a = 0 (the continuum limit) by repeated calculations at different lattice spacings a.

Numerical lattice QCD calculations using Monte Carlo methods can be extremely computationally intensive, requiring the use of the largest available supercomputers. To reduce the computational burden, the so-called quenched approximation can be used, in which the quark fields are treated as non-dynamic "frozen" variables. While this was common in early lattice QCD calculations, "dynamical" fermions are now standard. These simulations typically utilize algorithms based upon molecular dynamics or microcanonical ensemble algorithms, which are in general use.

At present, lattice QCD is primarily applicable at low densities where the numerical sign problem does not interfere with calculations. Monte Carlo methods are free from the sign problem when applied to the case of QCD with gauge group SU(2) (QC₂D).

Lattice QCD has already successfully agreed with many experiments. For example, the mass of the proton has been determined theoretically with an error of less than 2 percent. Lattice QCD predicts that the transition from confined quarks to quark–gluon plasma occurs around a temperature of Template:Val (Template:Val), within the range of experimental measurements.

Lattice QCD has also been used as a benchmark for high-performance computing, an approach originally developed in the context of the IBM Blue Gene supercomputer.

Techniques

Monte-Carlo simulations

After Wick rotation, the path integral for the partition function of QCD takes the form

$Z=\int {𝒟}U{e}^{-S[U]}=\int \prod _{x,\mu }d{U}_{\mu }(x)e^{-S[U]}$

where the gauge links $U_{\mu }(x)\in \mathrm{S}\mathrm{U}(3)$ range over all the sites $x$ and space-time directions $\mu$ in a 4-dimensional space-time lattice, $S[U]$ denotes the (Euclidean) action and $d{U}_{\mu }(x)$ denotes the Haar measure on $\mathrm{S}\mathrm{U}(3)$. Physical information is obtained by computing observables

$⟨{𝒪}⟩=\frac{1}{Z}\int {𝒟}U{𝒪}(U)e^{-S[U]}$

For cases where evaluating observables pertubatively is difficult or impossible, a Monte Carlo approach can be used, computing an observable ${𝒪}$ as

$⟨{𝒪}⟩\approx \sum _{i=1}^N{𝒪}(U_i)$

where $U_1,\dots ,U_N$ are i.i.d random variables distributed according to the Boltzman distribution $U_i\sim e^{-S[U_i]}/Z$. For practical calculations, the samples $\{U_i\}$ are typically obtained using Markov chain Monte Carlo methods, in particular Hybrid Monte Carlo, which was invented for this purpose.

Fermions on the lattice

Lattice QCD is a way to solve the theory exactly from first principles, without any assumptions, to the desired precision. However, in practice the calculation power is limited, which requires a smart use of the available resources. One needs to choose an action which gives the best physical description of the system, with minimum errors, using the available computational power. The limited computer resources force one to use approximate physical constants which are different from their true physical values:

• The lattice discretization means approximating continuous and infinite space-time by a finite lattice spacing and size. The smaller the lattice, and the bigger the gap between nodes, the bigger the error. Limited resources commonly force the use of smaller physical lattices and larger lattice spacing than wanted, leading to larger errors than wanted.
• The quark masses are also approximated. Quark masses are larger than experimentally measured. These have been steadily approaching their physical values, and within the past few years a few collaborations have used nearly physical values to extrapolate down to physical values.

Lattice perturbation theory

In lattice perturbation theory physical quantities (such as the scattering matrix) are expanded in powers of the lattice spacing, a. The results are used primarily to renormalize Lattice QCD Monte-Carlo calculations. In perturbative calculations both the operators of the action and the propagators are calculated on the lattice and expanded in powers of a. When renormalizing a calculation, the coefficients of the expansion need to be matched with a common continuum scheme, such as the MS-bar scheme, otherwise the results cannot be compared. The expansion has to be carried out to the same order in the continuum scheme and the lattice one.

The lattice regularization was initially introduced by Wilson as a framework for studying strongly coupled theories non-perturbatively. However, it was found to be a regularization suitable also for perturbative calculations. Perturbation theory involves an expansion in the coupling constant, and is well-justified in high-energy QCD where the coupling constant is small, while it fails completely when the coupling is large and higher order corrections are larger than lower orders in the perturbative series. In this region non-perturbative methods, such as Monte-Carlo sampling of the correlation function, are necessary.

Lattice perturbation theory can also provide results for condensed matter theory. One can use the lattice to represent the real atomic crystal. In this case the lattice spacing is a real physical value, and not an artifact of the calculation which has to be removed (a UV regulator), and a quantum field theory can be formulated and solved on the physical lattice.

Quantum computing

The U(1), SU(2), and SU(3) lattice gauge theories can be reformulated into a form that can be simulated using "spin qubit manipulations" on a universal quantum computer.

Limitations

The method suffers from a few limitations:

• Currently there is no formulation of lattice QCD that allows us to simulate the real-time dynamics of a quark-gluon system such as quark–gluon plasma.
• It is computationally intensive, with the bottleneck not being flops but the bandwidth of memory access.
• Computations of observables at nonzero baryon density suffer from a sign problem, preventing direct computations of thermodynamic quantities.

See also

• Lattice field theory
• Lattice gauge theory
• Lattice model (physics)
• QCD matter
• Quantum triviality
• SU(2) color superconductivity
• QCD sum rules
• Wilson action

Further reading

• M. Creutz, Quarks, gluons and lattices, Cambridge University Press 1985.
• I. Montvay and G. Münster, Quantum Fields on a Lattice, Cambridge University Press 1997.
• J. Smit, Introduction to Quantum Fields on a Lattice, Cambridge University Press 2002.
• H. Rothe, Lattice Gauge Theories, An Introduction, World Scientific 2005.
• T. DeGrand and C. DeTar, Lattice Methods for Quantum Chromodynamics, World Scientific 2006.
• C. Gattringer and C. B. Lang, Quantum Chromodynamics on the Lattice, Springer 2010.

External links

• Gupta - Introduction to Lattice QCD
• Lombardo - Lattice QCD at Finite Temperature and Density
• Chandrasekharan, Wiese - An Introduction to Chiral Symmetry on the Lattice
• Kuti, Julius - Lattice QCD and String Theory
• The FermiQCD Library for Lattice Field theory Template:Webarchive
• Flavour Lattice Averaging Group