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Found 2 papers, 2 papers with code
Gate-based Quantum Computing for Protein Design
In our quantum algorithms, we use custom pair-wise energy tables consisting of eight different amino acids.
EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates
For five datasets, we demonstrate that training an ML classification model using EP-PQM requires 48% to 77% fewer qubits than P-PQM for datasets with $a>2$.
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