The present invention is an apparatus and method for predicting the reactions of a subject, e.g., a human being to a proposition posed to the subject during a subject-object or a subject-subject interaction that takes place online or in real life. The quantum mechanical model adopted herein assigns a first subject qubit |iss1> to a primary internal state of the subject with eigenvalues corresponding to measurable indications a, b of the primary internal state. A response qubit |rsp> that can yield at least two mutually exclusive responses corresponding to two eigenvalues is also assigned to the subject. A proposition matrix PR in the form of a linear operator designed to act on response qubit |rsp> is assigned to enable a quantum mechanical derivation of response probabilities and expectation values for response to the same underlying proposition in various contexts, including incompatible contexts in the Heisenberg sense.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer implemented method for predicting a most probable response of a subject to a proposition having at least two mutually exclusive responses, said method comprising: a) storing in a memory measurable indications a, b of a primary internal state of said subject; b) assigning by an assignment module said primary internal state of said subject to a first subject qubit |iss1 having a u-basis decomposition into at least two subject state eigenvectors |iss1au, |iss1bu with at least two subject state eigenvalues λa, λb corresponding to said measurable indications a, b of said primary internal state; c) assigning by said assignment module a response qubit |rsp to said subject modulo said proposition, said response qubit |rsp having a v-basis decomposition into subject response eigenvectors |rspR1v, |rspR2v with subject response eigenvalues λR1, λR2 corresponding to said at least two mutually exclusive responses R1, R2; d) assigning by said assignment module to said proposition a proposition matrix PR exhibiting said response eigenvectors |rspR1v, |rspR2v; e) curating in a statistics module an event probability γ based on said first subject qubit |iss1 for said subject confronting said proposition to yield a quantum measurement of said response qubit |rsp; and f) predicting by a prediction module said most probable response from a quantum expectation value PRrsp of said proposition matrix PR. 2. The method of claim 1, further comprising: a) curating by a network behavior monitoring unit estimated quantum probabilities pa, pb of observing said primary internal state yield measureable indications a, b to quantum measurement; and b) expressing said u-basis decomposition as |iss1=αa|iss1au+βb|iss1bu, where αa and βb are complex coefficients; and c) setting said estimated quantum probabilities pa, pb equal to complex coefficient norms α*aαa and β*bβb. 3. The method of claim 1, further comprising: a) curating by a network behavior monitoring unit estimated quantum probabilities pR1, pR2 of observing said at least two mutually exclusive responses R1, R2 to said quantum measurement of said response qubit |rsp; b) expressing said v-basis decomposition as |rsp=αR1a |rspR1v+βR2|rspR2v, where αR1 and βR2 are complex coefficients; and c) setting said estimated quantum probabilities pR2, pR2 equal to complex coefficient norms α*R1αR1 and β*R2βR2. 4. The method of claim 3, further comprising: a) seeding a random event mechanism with said estimated quantum probabilities pR1, pR2; and b) simulating with a simulation engine the occurrence of said at least two mutually exclusive responses R1, R2 for said subject. 5. The method of claim 1, further comprising simulating with a simulation engine occurrences of said most probable response for said subject. 6. The method of claim 5, further comprising connecting said simulation engine to a network behavior monitoring unit to provide a sampling of said occurrences. 7. The method of claim 1, further comprising estimating by said statistics module a basis relationship between said first subject qubit |iss1 in said u-basis decomposition and said response qubit |rsp in said v-basis decomposition. 8. The method of claim 7, wherein said event probability γ is adjusted by said statistics module by a quantum interaction probability pint that is based on said basis relationship. 9. The method of claim 7, further comprising the steps of: a) determining a basis misalignment between a u-ray defining said u-basis and a v-ray defining said v-basis; and b) adjusting said event probability γ by a quantum interaction probability pint that is based on said basis misalignment. 10. The method of claim 1, wherein said event probability γ is adjusted by said statistics module by at least one classical probability selected from the group consisting of a null response probability pnull to said proposition by said subject, a non-engagement probability pne of said subject not engaging with said proposition. 11. The method of claim 1, further comprising: a) performing a basis change by said assignment module to migrate said response qubit |rsp from said v-basis decomposition to a w-basis decomposition; b) predicting by said prediction module a most probable response of said subject in said w-basis decomposition of said response qubit |rsp. 12. The method of claim 1, further comprising the steps of: a) placing said first subject qubit |iss1 in a subject space iss1; b) placing said response qubit |rsp in a response space rsp; c) determining a space relationship between said subject space iss1 and said response space rsp; and d) adjusting said event probability γ based on said space relationship. 13. The method of claim 1, wherein said quantum expectation value PRrsp is computed under interaction of said response qubit |rsp with an environment thereby inducing a density matrix ρrsp, such that said quantum expectation value is represented by Tr[PRrspρrsp]. 14. The method of claim 1, wherein said first subject qubit |iss1 is represented by a pure state. 15. The method of claim 14, wherein said pure state is adjusted by a perturbation. 16. The method of claim 14, wherein said primary internal state is selected from the group consisting of a Jungian type, a Big 5 type, a personality trait, a preference, an attribute and a proclivity. 17. The method of claim 16, wherein said primary internal state is inferred from a documented online presence of said subject. 18. The method of claim 16, wherein said primary internal state is determined form a self-report of said subject about said primary internal state. 19. The method of claim 1, further comprising assigning by said assignment module a secondary internal state of said subject to a second subject qubit |iss2. 20. The method of claim 19, further comprising the step of testing for quantum entanglement between said first subject qubit |iss1 and said second subject qubit |iss2. 21. A computer system for predicting a most probable response of a subject to a proposition having at least two mutually exclusive responses, said computer system comprising: a) a memory for storing measurable indications a, b of a primary internal state of said subject; b) an assignment module for making assignments including: i) assigning said primary internal state of said subject to a first subject qubit |iss1 having a u-basis decomposition into at least two subject state eigenvectors |iss1au, |iss1bu with at least two subject state eigenvalues λa, λb corresponding to said measurable indications a, b of said primary internal state; ii) assigning a response qubit |rsp to said subject modulo said proposition, said response qubit |rsp having a v-basis decomposition into subject response eigenvectors |rspR1v, |rspR2v with subject response eigenvalues λR1, λR2 corresponding to said at least two mutually exclusive responses R1, R2; iii) assigning to said proposition a proposition matrix PR exhibiting said response eigenvectors |rspR1v, |rspR2v; c) a statistics module for curating an event probability γ based on said first subject qubit |iss1 for said subject confronting said proposition to yield a quantum measurement of said response qubit |rsp; and d) a prediction module for predicting said most probable response from a quantum expectation value PRrsp of said proposition matrix PR. 22. The computer system of claim 21, wherein said modules are implemented in nodes of a computer cluster. 23. The computer system of claim 21, further comprising a simulation engine for performing simulations based at least in part on said most probable response predicted by said prediction module. 24. The computer system of claim 23, further comprising a network behavior monitoring unit connected to said simulation engine for receiving a sampling of occurrences of said most probable response.