A quantum molecular simulation for methane (CH₄) using the QSAM framework can be run by encoding the molecule’s structure into a qubit representation and benchmarking quantum performance against classical methods. This method provides significant speedup, gate fidelity, and resource efficiency versus traditional binary computing approaches.
Video: How Quantum Computers Speed Up Molecular Detection
QSAM Molecular Simulation (Quantum Simulation Algorithm Module) translates classical molecular data into quantum states via proprietary Newtonian-inspired mappings. For methane, each atom and electron configuration can be encoded using binary-to-qubit maps: hydrogen and carbon orbitals are given binary patterns which convert into qubit rotation angles and entanglement operations, often employing Hadamard, RY, and CNOT gates. This enables full superposition and correlated testing across multiple IBM backends such as Torino and Sherbrooke.[3][1]
– Methane (CH₄) structure is digitized into a binary pattern.
– QSAM converts each binary value into quantum rotation/entanglement gate angles.
Circuit jobs are submitted to actual quantum hardware, and the backend performs parallel simulations, typically testing many input patterns per execution via QSAM’s superposition/agent protocol. Qubit Representation and Error Correction
QSAM encodes classical bits into quantum states using:
Error mitigation: S-Core protocol applies deep neural network corrections, achieving up to 99.9% gate fidelity and reducing noise/coherence errors.
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