SuperFermion: A Leap Forward in Quantum Circuit Simulation Efficiency

This Zenodo upload contains the complete evaluation data, benchmark suites, and preprint manuscript for SuperFermion: A Leap Forward in Quantum Circuit Simulation Efficiency. The study evaluates SuperFermion against prominent open-source quantum simulation frameworks—including Qiskit Aer, PennyLane, Cirq, Qulacs, and Stim—across multiple execution paradigms: Statevector Learning: Assesses 252 identical conditions (4 to 20 qubits) across quantum kernel estimation (QSVM, QKRR, QKPCA), variational learning (VQC, VQR), combinatorial optimization (QAOA, VQE), and circuit sweeps, totaling 1,512 simulator jobs. Matrix Product States (MPS) & Dynamic Circuits: Explores bounded entanglement, canonical tensor structures, and mid-circuit measurements/feed-forward operations, scaling structured circuits up to 1,000 qubits and native MPS teleportation to 120 qubits. Specialized Execution Modes: Examines compiled adjoint gradients, dense-core density matrices, and a unified binary stabilizer/Clifford tableau sampling engine across up to 4,096 qubits. The repository provides source-traceable verification logs, JSONL/CSV records, capability probes, analysis scripts, and an integrated manuscript comprising comprehensive performance tables and scaling figures.