QONDRA is an open research program in quantum computing, spintronics, edge simulations, and materials science.
The name is deliberate — QONDRA = Q + Κόντρα (Greek: against, in opposition) — reflecting the physics we study: antiferromagnets, frustrated lattices, and systems that push against conventional computing paradigms.
Part of ARPA Corp. · Sister org: ARPAHLS (AI/ML) · qondra@arpacorp.net
QRC on disordered XXZ spin chains — temporal benchmarks, memory capacity, Pauli readout, Ridge regression, spintronic gate set.
Forked from rosspeili/trainable-qsp-angles
Reproducible QSP benchmark: gradient-learned phase angles on a JAX flat circuit vs mapped analytic solvers.
Jupyter Notebook
VQE simulation of the Kagome antiferromagnet (Mn₃Sn) — HEA & MERA ansatze, entanglement entropy, ED benchmarks, SOC QAOA.
QRC on disordered XXZ spin chains — temporal benchmarks, memory capacity, Pauli readout, Ridge regression, spintronic gate set.
Reproducible QSP benchmark: gradient-learned phase angles on a JAX flat circuit vs mapped analytic solvers.
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