All papers
Every paper published in the repository, most recently accepted first.
-
Mount Judi, Not Mount Ararat: A Reassessment of the Traditional Search Location for the Resting Place of Noah's Ark
This paper presents a combined historical-linguistic and geographic analysis of the Qur'anic account of the Flood of Nuh (Noah). It argues, in three connected parts, that: (1) the Qur'anic account is consistent with the archaeologically attested Shuruppak flood horizon (c. 2900 BCE) and with the broader cuneiform Mesopotamian flood tradition, including the Sumerian King List, the Atra-Hasis Epic,
-
Computationally Pumped Bath Noise, Version 2: A Multi-Scale, History-Dependent Noise Model for Quantum Circuit Simulation in PKTron
PKTron is an open-source, PyPI-distributed quantum circuit simulator aimed at education and low-resource research settings. This paper documents Computationally Pumped Bath Noise version 2 (CPBN v2), a noise subsystem added in PKTron 13.0.0 that models decoherence as the output of one or more classical “bath” processes whose instantaneous error-pump strength depends on recent circuit activity rath
-
Mediation, State, and Verification in Enterprise Multi-Agent AI Systems: A Formal Reference Architecture and Evaluation Protocol
Enterprise deployment of large language model agents is increasingly limited less by model capability than by the problem of coordinating models, tools, persistent business state, authorization policies, and human decisions into a workflow that can be operated and audited. Recent evidence complicates the assumption that multi-agent decomposition is beneficial by default: compute-normalized compari
-
Computationally Pumped Bath Noise (CPBN): A History-Dependent Noise Architecture for Quantum Circuit Simulation, with Simulation Validation and a Matched-History Investigation on IBM Quantum Hardware
We present Computationally Pumped Bath Noise (CPBN), a history-dependent noise model for the PKTron quantum circuit simulator. CPBN models noise as a dynamical reservoir with memory, relaxation, computational pumping, and spatial propagation. Controlled simulations demonstrated history and gate-order dependence, memory and pump effects, relaxation, spatial propagation, and CPTP behavior while matc
-
Variational Quantum Eigensolvers for Molecular Ground-State Estimation: A Benchmark on Noisy Intermediate-Scale Quantum Hardware
The variational quantum eigensolver (VQE) is among the most promising near-term algorithms for estimating molecular ground-state energies on noisy intermediate-scale quantum (NISQ) devices. In this work, we benchmark a hardware-efficient VQE ansatz against a chemistry-inspired unitary coupled-cluster singles and doubles (UCCSD) ansatz for a set of small molecular systems, including hydrogen (H2),