// Workers AI · dad joke modeWhat did Lattice QCD say to its date? You're a grid match.
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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.[1][2] Lattice QCD was developed in the 1970s by Nobel laureate Kenneth Wilson. It was developed within a short interval of time after the theory of quantum chromodynamics had been discovered.[3]
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. The 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.[4]
At present, lattice QCD is primarily applicable at low baryon 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), or two-color quantum chromodynamics.
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.[5] Lattice QCD predicts that the transition from confined quarks to quark–gluon plasma occurs around a temperature of 150 MeV (1.7×1012 K), within the range of experimental measurements.[6][7]
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.[8]
Techniques
[edit]Monte-Carlo simulations
[edit]After Wick rotation, the path integral for the partition function of QCD takes the form
where the gauge links range over all the sites and space-time directions in a 4-dimensional space-time lattice, denotes the (Euclidean) action and denotes the Haar measure on . Physical information is obtained by computing observables
For cases where evaluating observables pertubatively is difficult or impossible, a Monte Carlo approach can be used, computing an observable as
where are i.i.d random variables distributed according to the Boltzmann distribution . For practical calculations, the samples are typically obtained using Markov chain Monte Carlo methods, in particular Hybrid Monte Carlo, which was invented for this purpose.[9]
Fermions on the lattice
[edit]Fermions in lattice QCD can be introduced formally by adding anticommuting Grassmann variables to the path integral, resulting in a partition function where and are referred to as the gauge action and fermion action, respectively. The fermion action is typically quadratic, taking the form , where is referred to as the Dirac operator (see Dirac Equation). For quadratic actions, it is possible to perform the integral over the fermionic degrees of freedom explicitly, resulting in the partition function where is referred to as the fermion determinant.
The choice of fermion action is complicated by the fermion doubling problem as a consequence of the Nielsen-Ninomiya theorem. In practice the Nielsen-Ninomiya theorem is typically circumvented by violating one of its assumptions, often by breaking chiral symmetry; see fermion doubling for a list of fermions used in practice.
Continuum Limit
[edit]Numeric calculations typically operate on a lattice with finite lattice spacing , however QCD is typically defined and understood as a continuum theory, and such a scale does not exist either theoretically or experimentally. Consequently, in order to obtain physical results a continuum limit is required. In practice this is accomplished by performing simulations at different lattice spacings, and then extrapolating to .
Taking a continuum limit in lattice QCD is complicated by the fact that the lattice spacing is not an input parameter; instead the action is determined in terms of the bare coupling and input fermion masses. In this context, the contiuum limit can be understood as a second order phase transition, with different choices of discretized action leading to universal behavior in the limit, provided that the theory is appropriately renormalized. For QCD, interpreting the bare coupling as a renormalized coupling at the lattice spacing scale, as a consequence of asymptotic freedom the continuum limit is obtained for .
Lattice perturbation theory
[edit]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.[citation needed]
Quantum computing
[edit]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.[10]
Limitations
[edit]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.[11]
See also
[edit]References
[edit]- ↑ Wilson, K. (1974). "Confinement of quarks". Physical Review D. 10 (8): 2445. Bibcode:1974PhRvD..10.2445W. doi:10.1103/PhysRevD.10.2445.
- ↑ Davies, C. T. H.; Follana, E.; Gray, A.; Lepage, G. P.; Mason, Q.; Nobes, M.; Shigemitsu, J.; Trottier, H. D.; Wingate, M.; Aubin, C.; Bernard, C.; et al. (2004). "High-Precision Lattice QCD Confronts Experiment". Physical Review Letters. 92 (2) 022001. arXiv:hep-lat/0304004. Bibcode:2004PhRvL..92b2001D. doi:10.1103/PhysRevLett.92.022001. ISSN 0031-9007. PMID 14753930. S2CID 16205350.
- ↑ "Lattice QCD – MITQCD Collaboration". mitqcd.mit.edu. Retrieved 2026-01-13.
- ↑ A. Bazavov; et al. (2010). "Nonperturbative QCD simulations with 2+1 flavors of improved staggered quarks". Reviews of Modern Physics. 82 (2): 1349–1417. arXiv:0903.3598. Bibcode:2010RvMP...82.1349B. doi:10.1103/RevModPhys.82.1349. S2CID 119259340.
- ↑ S. Dürr; Z. Fodor; J. Frison; et al. (2008). "Ab Initio Determination of Light Hadron Masses". Science. 322 (5905): 1224–7. arXiv:0906.3599. Bibcode:2008Sci...322.1224D. doi:10.1126/science.1163233. PMID 19023076. S2CID 14225402.
- ↑ P. Petreczky (2012). "Lattice QCD at non-zero temperature". J. Phys. G. 39 (9) 093002. arXiv:1203.5320. Bibcode:2012JPhG...39i3002P. doi:10.1088/0954-3899/39/9/093002. S2CID 119193093.
- ↑ Rafelski, Johann (September 2015). "Melting hadrons, boiling quarks". The European Physical Journal A. 51 (9) 114. arXiv:1508.03260. Bibcode:2015EPJA...51..114R. doi:10.1140/epja/i2015-15114-0.
- ↑ Bennett, Ed; Lucini, Biagio; Del Debbio, Luigi; Jordan, Kirk; Patella, Agostino; Pica, Claudio; Rago, Antonio; Trottier, H. D.; Wingate, M.; Aubin, C.; Bernard, C.; Burch, T.; DeTar, C.; Gottlieb, Steven; Gregory, E. B.; Heller, U. M.; Hetrick, J. E.; Osborn, J.; Sugar, R.; Toussaint, D.; Di Pierro, M.; El-Khadra, A.; Kronfeld, A. S.; Mackenzie, P. B.; Menscher, D.; Simone, J. (2016). "BSMBench: A flexible and scalable HPC benchmark from beyond the standard model physics". 2016 International Conference on High Performance Computing & Simulation (HPCS). pp. 834–839. arXiv:1401.3733. doi:10.1109/HPCSim.2016.7568421. ISBN 978-1-5090-2088-1. S2CID 115229961.
- ↑ Duane, Simon; Kennedy, A.D.; Pendleton, Brian J.; Roweth, Duncan (1987). "Hybrid Monte Carlo". Physics Letters B. 195 (2): 216–222. Bibcode:1987PhLB..195..216D. doi:10.1016/0370-2693(87)91197-X.
- ↑ Byrnes, Tim; Yamamoto, Yoshihisa (17 February 2006). "Simulating lattice gauge theories on a quantum computer". Physical Review A. 73 (2) 022328. arXiv:quant-ph/0510027. Bibcode:2006PhRvA..73b2328B. doi:10.1103/PhysRevA.73.022328. S2CID 6105195.
- ↑ Philipsen, O. (2008). "Lattice calculations at non-zero chemical potential: The QCD phase diagram". Proceedings of Science. 77: 011. doi:10.22323/1.077.0011.
Further reading
[edit]- 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
[edit]- 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 Archived 2015-02-03 at the Wayback Machine
- Flavour Lattice Averaging Group