| CPC G16B 25/10 (2019.02) [G06N 10/20 (2022.01); G06N 10/60 (2022.01); G16H 50/20 (2018.01)] | 20 Claims |

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9. A system comprising one or more processors and at least one memory storing processor executable instructions that, when executed by the one or more processors, cause the one or more processors to:
identify, based at least in part on gene expression data for a plurality of genes, a plurality of potential predictor sets for a target gene designation, wherein a potential predictor set of the plurality of potential predictor sets is associated with one or more cross-temporal gene state transformation relationships;
generate a conjunctive predictor set representation for the potential predictor set, wherein the conjunctive predictor set representation describes a conjunction of one or more transformation relationship models associated with the one or more cross-temporal gene state transformation relationships;
generate at least one quantum processing unit that comprises: (i) at least one gene designation superposition qubit for a plurality of affected qubits of the one or more cross-temporal gene state transformation relationships, wherein the at least one gene designation superposition qubit is associated with at least one of the one or more transformation relationship models, and (ii) an ancilla qubit whose value is determined based at least in part on the at least one gene designation superposition qubit;
generate a quantum logic circuit that (i) comprises one or more quantum logic subcircuits for the at least one quantum processing unit, and (ii) is configured to perform a conjunctive phase logic operation on the ancilla qubit;
generate an eligibility indicator for the potential predictor set based at least in part on an output of the conjunctive phase logic operation;
determine an optimal predictor set based at least in part on the potential predictor set having an affirmative eligibility indicator;
determine a genetic risk score based at least in part on the optimal predictor set; and
cause, via a user interface, display of a health-related risk prediction associated with the genetic risk score for a target individual, wherein the target individual meets a set of conditions associated with the genetic risk score.
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