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The '''numerical sign problem''' refers to the difficulty of numerically evaluating the integral of a highly oscillatory function of a large number of variables. Numerical methods fail because of the near-cancellation of the positive and negative contributions to the integral. Each has to be integrated to very high precision in order for their difference to be obtained with useful accuracy.
The sign problem is one of the major unsolved problems in the physics of many-particle systems. It often arises in calculations of the properties of a quantum mechanical system with large number of strongly-interacting [[fermion
==The sign problem in physics==
In physics, the sign problem is typically (but not exclusively) encountered in calculations of the properties of a quantum mechanical system with large number of strongly-interacting [[fermion
The sign problem is one of the major unsolved problems in the physics of many-particle systems, impeding progress in many areas:
* Condensed matter physics. It prevents the numerical solution of systems with a high density of strongly-correlated electrons, such as the [[Hubbard model]].
* Nuclear physics. It prevents the ab-initio calculation of properties of [[nuclear matter]] and hence limits our understanding of [[atomic nucleus|nuclei]] and [[neutron star
* Particle physics. It prevents the use of [[Lattice QCD]] to predict the phases and properties of [[quark matter]].
==The sign problem in field theory==
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In a field theory approach to multi-particle systems, the fermion density is controlled by the value of the fermion [[chemical potential]] <math>\mu</math>. One evaluates the [[
:<math>Z = \int D \sigma \; \rho[\sigma]</math>
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Note that the desired expectation value is now a ratio where the numerator and denominator are expectation values that both use a positive weighting function, <math>p[\sigma]</math>. However, the phase <math>\exp(i\theta[\sigma])</math> is a highly oscillatory function in the configuration space, so if one uses Monte-Carlo methods to evaluate the numerator and denominator, each of them will evaluate to a very small number, whose exact value is swamped by the noise inherent in the Monte-Carlo sampling process. The "badness" of the sign problem is measured by the smallness of the denominator <math>\langle \exp(i\theta[\sigma]) \rangle_p</math>: if it is much less than 1 then the sign problem is severe.
It can be shown (e.g.
:<math>\langle \exp(i\theta[\sigma]) \rangle_p \propto \exp(-f V/T)</math>
where <math>V</math> is the volume of the system, <math>T</math> is the temperature, and <math>f</math> is an energy density. The number of Monte-Carlo sampling points needed to obtain an accurate result therefore rises exponentially as the volume of the system becomes large, and as the temperature goes to zero.
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==Methods for reducing the sign problem==
The sign problem is [[NP-hard]], implying that a full and generic solution of the sign problem would also solve all problems in the complexity class NP in polynomial time
In systems with a moderate sign problem, such as field theories at a sufficiently high temperature or in a sufficiently small volume, the sign problem is not too severe and useful results can be obtained by various methods, such as more carefully tuned reweighting, analytic continuation from imaginary <math>\mu</math> to real <math>\mu</math>, or Taylor expansion in powers of <math>\mu</math>. <ref name='Philipsen'/><ref>C. Schmidt, "Lattice QCD at Finite Density", PoS LAT2006 021 (2006) [http://arxiv.org/abs/hep-lat/0610116 arXiv:/hep-lat/0610116], plenary talk at 24th International Symposium on Lattice Field Theory.</ref>▼
▲In systems with a moderate sign problem, such as field theories at a sufficiently high temperature or in a sufficiently small volume, the sign problem is not too severe and useful results can be obtained by various methods, such as more carefully tuned reweighting, analytic continuation from imaginary <math>\mu</math> to real <math>\mu</math>, or Taylor expansion in powers of <math>\mu</math>.
There are various proposals for solving systems with a severe sign problem:
* Meron-cluster algorithms. These achieve an exponential speed-up by decomposing the fermion world lines in to clusters that contribute independently. Cluster algorithms have been developed for certain theories
* Stochastic quantization. The sum over configurations is obtained as the equilibrium distribution of states explored by a complex [[Langevin equation]]. So far, the algorithm has been found to evade the sign problem in test models that have a sign problem but do not involve fermions.
* Fixed Node method. One fixes the ___location of nodes (zeros) of the multiparticle wavefunction, and uses Monte-Carlo methods to obtain an estimate of the energy of the ground state, subject to that constraint.
==References==
<references/>
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