Generates Pulse Sequences using Walsh Functions for selective interactions among qubits whose dynamics is modeled by the XY Hamiltonian.
dna::}{::lang: a genome-style language and compiler for families of quantum circuits, with Aer/IBM backends, evolutionary search over decoupling sequences and a write-ahead run ledger.
Finite autonomous reservoirs for Markovian dephasing under adaptive interventions, with logarithmic encoded memory, square-root interaction strength, and linear bath bandwidth at optimal coupling.
organism_sim controller over dnalang-core's dynamical-decoupling search space with Aer ground truth and joined hash-chain provenance. Pre-registered results.
Simulation study: how many shots does it take to pick a dynamical-decoupling sequence for an electron spin in a GaAs-like quantum dot? Classical filter-function spectroscopy vs model-free halving, scored against an exact 8-spin nuclear bath. Pulse-error sweep, ablations, 5 seeds, PyTorch.
Simulation study: exact compile-time pairing of qubits into decoherence-free-subspace logical qubits under spatially correlated dephasing. Kernel shape vs geometry mismatch vs Ramsey calibration shots, break-even gate error, CPMG baseline, 6-12 qubits, 5 seeds.
Simulation study: how much fidelity does a spin quantum memory lose when its release time (network herald) is random, and does a herald-triggered closing pulse or a learned pulse schedule beat tuned CPMG? Exact Gaussian dephasing model, 5 seeds, PyTorch.
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