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If the interference term is positive, then the QP computation would generate a higher probability than its CP counterpart given by the classical FTP. In particular, this probability amplification underlies the supremacy of quantum computing. There are numerous statistical data from cognitive psychology, decision making, molecular biology, genetics and epigenetics demonstrating that biosystems, from proteins and cells (Asano et al., 2015b)<ref>Asano M., Khrennikov A., Ohya M., Tanaka Y., Yamato I. Quantum Adaptivity in Biology: From Genetics To Cognition Springer, Heidelberg-Berlin-New York(2015)</ref> to humans (Khrennikov, 2010,<ref>Khrennikov A. Ubiquitous Quantum Structure: From Psychology To Finances Springer, Berlin-Heidelberg-New York(2010)</ref> Busemeyer and Bruza, 2012<ref>Busemeyer J., Bruza P. Quantum Models of Cognition and Decision Cambridge Univ. Press, Cambridge(2012)</ref>) use this amplification and operate with non-CP updates. | If the interference term is positive, then the QP computation would generate a higher probability than its CP counterpart given by the classical FTP. In particular, this probability amplification underlies the supremacy of quantum computing. There are numerous statistical data from cognitive psychology, decision making, molecular biology, genetics and epigenetics demonstrating that biosystems, from proteins and cells (Asano et al., 2015b)<ref>Asano M., Khrennikov A., Ohya M., Tanaka Y., Yamato I. Quantum Adaptivity in Biology: From Genetics To Cognition Springer, Heidelberg-Berlin-New York(2015)</ref> to humans (Khrennikov, 2010,<ref>Khrennikov A. Ubiquitous Quantum Structure: From Psychology To Finances Springer, Berlin-Heidelberg-New York(2010)</ref> Busemeyer and Bruza, 2012<ref>Busemeyer J., Bruza P. Quantum Models of Cognition and Decision Cambridge Univ. Press, Cambridge(2012)</ref>) use this amplification and operate with non-CP updates. | ||
</blockquote>{{q2| | If we wanted to go into a little more detail on this topic, we would immediately realize that the limit of languages lies in the fact that in medicine we are cognitively accustomed to considering the variables (symptom/disease and vice versa) dependent and therefore commutable. If a patient is symptomatic and therefore ill and a sick patient is symptomatic, this explains the terms 'dependent variables and commutability'. In quantum probability the variables are considered independent and do not commute and therefore the result could be the following: | ||
</blockquote>{{q2|Could an asymptomatic person be ill?|Maybe yes and maybe no, therefore, this explains the independence and non-commutability}} | |||
=== Conclusion === | |||
Orofacial pain together with temporomandibular disorders are very complex pathophysiological phenomena which, despite the spread of clinical protocols available to the clinician, must be considered objectively but critically. If we consider the clinical cases already presented and the limitations described regarding the measurement error, the machine language logic with the code decryption process and the limitations of the Bayesian statistical procedures we can realize as a differential diagnosis between Orofacial Pain from Temporomandibular Disorders and Orofacial Pain from Oromandibular Dystonia is not quite so appreciable. Therefore, we will present two clinical cases that will highlight the essential methodological and clinical points to perform a rapid and detailed differential diagnosis between Orofacial Pain due to Temporomandibular Disorders and Orofacial Pain due to Oromandibular Dystonia{{Bib}} |
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