A digital quantum simulation using Trotter steps on a four-qubit system reproduces the analytic particle spectrum for cosmological particle creation in an FLRW transition.
Quantum computing in the NISQ era and beyond.Quantum, 2:79
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 5verdicts
UNVERDICTED 5roles
background 1polarities
background 1representative citing papers
LieTrunc-QNN contracts the quantum state manifold via structured Lie subalgebras to guarantee polynomial gradient variance decay and bounded Fubini-Study metric rank in quantum neural networks.
A hybrid QACG solver uses quantum spectral initialization to split condition-number burden between quantum and classical parts, yielding runtime gains in identified regimes for the 3D Poisson equation.
A new GPU quantum simulator framework achieves 64x-146x speedups for 20-28 qubit circuits via backend selection, gate fusion, and adaptive precision while integrating with Qiskit and others.
On the ibm_kingston processor, a coherence gap of 0.91 appears at feature depth 256 in NISQ classifiers, identifying coherent phase errors as the main scaling limit beyond standard noise models.
citing papers explorer
-
Time-resolved digital quantum simulation of cosmological particle creation in a de Sitter-radiation transition
A digital quantum simulation using Trotter steps on a four-qubit system reproduces the analytic particle spectrum for cosmological particle creation in an FLRW transition.
-
LieTrunc-QNN: Lie Algebra Truncation and Quantum Expressivity Phase Transition from LiePrune to Provably Stable Quantum Neural Networks
LieTrunc-QNN contracts the quantum state manifold via structured Lie subalgebras to guarantee polynomial gradient variance decay and bounded Fubini-Study metric rank in quantum neural networks.
-
Quantum-accelerated conjugate gradient method via spectral initialization
A hybrid QACG solver uses quantum spectral initialization to split condition-number burden between quantum and classical parts, yielding runtime gains in identified regimes for the 3D Poisson equation.
-
GPU-Accelerated Quantum Simulation: Empirical Backend Selection, Gate Fusion, and Adaptive Precision
A new GPU quantum simulator framework achieves 64x-146x speedups for 20-28 qubit circuits via backend selection, gate fusion, and adaptive precision while integrating with Qiskit and others.
-
Quantifying the Hadamard Resilience Law: Discovery of the Coherence Gap in NISQ-Era Classifiers
On the ibm_kingston processor, a coherence gap of 0.91 appears at feature depth 256 in NISQ classifiers, identifying coherent phase errors as the main scaling limit beyond standard noise models.