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20182026
most citedBenchmarking Quantum Computer Simulation Software Packages: State Vector Simulators

23 citations · 76 across the 12 of their papers we have counts for

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quant-ph2026

Towards Predictive Quantum Algorithmic Performance: Modeling Time-Correlated Noise at Scale

Amit Jamadagni, Gregory Quiroz, Eugene Dumitrescu

Combining tensor network techniques with quantum autoregressive moving average models, we quantify the effects of time-correlated noise on quantum algorithms and predict their perf…

quant-ph2025

Composite-Dimensional Topological Codes with Boundaries and Defects

Mohamad Mousa, Amit Jamadagni, Eugene Dumitrescu

We introduce new algorithms and provide example constructions of stabilizer models for the gapped boundaries, domain walls, and defects of Abelian composite-dimensional twiste…

quant-ph2024★ 1 cited

Gauge-Fixing Quantum Density Operators At Scale

Amit Jamadagni, Eugene Dumitrescu

We provide theory, algorithms, and simulations of non-equilibrium quantum systems using a one-dimensional (1D) completely-positive (CP), matrix-product (MP) density-operator ()…

quant-ph2024

Efficient computation of topological order

Louis Fraatz, Amit Jamadagni, Hendrik Weimer

We analyze the computational aspects of detecting topological order in a quantum many-body system. We contrast the widely used topological entanglement entropy with a recently intr…

quant-ph2024★ 3 cited

Kibble-Zurek mechanism and errors of gapped quantum phases

Amit Jamadagni, Javad Kazemi, Arpan Bhattacharyya

Kibble-Zurek mechanism relates the domain of non-equilibrium dynamics with the critical properties at equilibrium. It establishes a power law connection between non-equilibrium def…

quant-ph2024★ 23 cited

Benchmarking Quantum Computer Simulation Software Packages: State Vector Simulators

Amit Jamadagni, Andreas M. Läuchli, Cornelius Hempel

Rapid advances in quantum computing technology lead to an increasing need for software simulators that enable both algorithm design and the validation of results obtained from quan…

quant-ph2022★ 3 cited

Learning of error statistics for the detection of quantum phases

Amit Jamadagni, Javad Kazemi, Hendrik Weimer

We present a binary classifier based on neural networks to detect gapped quantum phases. By considering the errors on top of a suitable reference state describing the gapped phase,…