2021
DOI: 10.48550/arxiv.2111.12936
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Hamming Distance and the onset of quantum criticality

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Cited by 3 publications
(5 citation statements)
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“…i,τ } is a 'typical' configuration (namely, one obtained after a significant number of warmup sweeps in the field), storing HD after each sweep on the sampling allows one to quantify the average distance the Markov chain probes in the (d + 1)-dimensional phase space. This was shown to be intrinsically related to the physics of the models being investigated [36]. For example, unordered phases were demonstrated to be associated with completely uncorrelated HS configurations, rendering an average Hamming distance, HD, equals to 0.5.…”
Section: ŝZmentioning
confidence: 93%
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“…i,τ } is a 'typical' configuration (namely, one obtained after a significant number of warmup sweeps in the field), storing HD after each sweep on the sampling allows one to quantify the average distance the Markov chain probes in the (d + 1)-dimensional phase space. This was shown to be intrinsically related to the physics of the models being investigated [36]. For example, unordered phases were demonstrated to be associated with completely uncorrelated HS configurations, rendering an average Hamming distance, HD, equals to 0.5.…”
Section: ŝZmentioning
confidence: 93%
“…Hamming Distance.-Recent investigations in various fermionic models have shown that the onset of criticality can be directly tracked by quantities related to metrics of the auxiliary Hubbard-Stratonovich (HS) field [36,55], bypassing the necessity of extraction of physical observables. This field, local to each orbital in the spinful Hubbard model in its (d + 1)-dimensions formulation [22], is the quantity being sampled via a Metropolis algorithm over the course of the Monte Carlo sampling [23].…”
Section: ŝZmentioning
confidence: 99%
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“…Accordingly, we propose a greedy approach to compute the Tikhonov regularization term based on Hamming distance efficiently. In the context of dealing with binary values: 0 or 1, Hamming distance between two-bit vectors of equal lengths is the number of bits at which the corresponding elements of the vectors have different values and can be represented as follows [46]:…”
Section: Hamming-based Tikhonov Regularization Approachmentioning
confidence: 99%
“…There also exists suggestion that the negative sign of a configuration is a topological invariant, which is an imaginary time counterpart of the Aharonov-Anandan phase and can be reduced to a Berry phase in the adiabatic limit [39]. Moreover, it was shown recently that some interacting models may have intrinsic sign problem, which cannot be cured regardless [40][41][42][43], and the sign problem has even been linked to quantum phase transitions [44][45][46].…”
mentioning
confidence: 99%