Quantum Computing & Physics
Quantum information, algorithms, hardware, and foundational physics.
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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
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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
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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),