A Z3 discrete time crystal is realized in superconducting qutrits using native chiral interactions, producing robust period-tripling independent of initial state.
Technology and per- formance benchmarks of iqm’s 20-qubit quantum com- puter
12 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
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Universal optimal tracking designs state-independent dynamical decoupling sequences that compensate residual errors from control imperfections while preserving refocusing.
Introduces QCalEval benchmark showing best zero-shot VLM score of 72.3 on quantum calibration plots, with fine-tuning and in-context learning effects varying by model type.
QC-AFQMC per-step scaling reduced from O(N^5.5) to O(N^4.5) via Aitken's block transformation for singular Pfaffians and algorithmic differentiation for force bias, with demonstrations on H8 from real quantum data and Li2O4.
The paper defines covert quantum computing via quantum strategies, proves O(sqrt(n)) border qubits suffice for detection in planar n-qubit circuits with nearest-neighbor crosstalk, and experimentally detects additional long-range coupling on IQM Emerald and IBM Heron processors.
An architecture-aware unitary-synthesis transpiler is claimed to cut CNOT counts by 6-36% and run 39-940x faster than Qiskit/TKET/Pennylane on IQM Garnet and IBM Marrakesh circuits with 3-11 qubits.
QIML uses a quantum-trained Q-Prior to enhance classical autoregressive predictions of spatiotemporal chaos, improving accuracy by up to 17.25% and full-spectrum fidelity by up to 29.36% while enabling stable forecasts for 3D turbulent channel flow.
Cross-Kerr coupling in the two-photon bosonic regime of a SQUID-coupled phase qubit never vanishes due to potential asymmetry and coupler nonlinearity, with explicit limits on the number of coherent states needed for the approximation.
VarQEC uses a distinguishability loss as a machine-learning objective to variationally discover resource-efficient encoding circuits optimized for given noise models.
A hardware-calibrated truncated QFT reduces gate count 31-44% at 30 qubits while bounding total variation distance error by O(2^{-d}) and outperforming full QFT under moderate noise.
Supervised ML trained on simulated gate set tomography data predicts noise models to build cross-hardware quantum emulators, validated by matching H2 unitary coupled cluster energy results to real hardware within 0.128% relative error.
A QDMI-based adapter for IQM quantum hardware enables reusable integration with Slurm and Qiskit in HPC centers, with open-source code provided.
citing papers explorer
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A Qutrit Time Crystal Stabilized with Native Chiral Interactions
A Z3 discrete time crystal is realized in superconducting qutrits using native chiral interactions, producing robust period-tripling independent of initial state.
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Dynamical Decoupling using Universal Optimal Tracking
Universal optimal tracking designs state-independent dynamical decoupling sequences that compensate residual errors from control imperfections while preserving refocusing.
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QCalEval: Benchmarking Vision-Language Models for Quantum Calibration Plot Understanding
Introduces QCalEval benchmark showing best zero-shot VLM score of 72.3 on quantum calibration plots, with fine-tuning and in-context learning effects varying by model type.
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Quantum-Classical Auxiliary-Field Quantum Monte Carlo at the Edge of Practicability
QC-AFQMC per-step scaling reduced from O(N^5.5) to O(N^4.5) via Aitken's block transformation for singular Pfaffians and algorithmic differentiation for force bias, with demonstrations on H8 from real quantum data and Li2O4.
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Toward Covert Quantum Computing
The paper defines covert quantum computing via quantum strategies, proves O(sqrt(n)) border qubits suffice for detection in planar n-qubit circuits with nearest-neighbor crosstalk, and experimentally detects additional long-range coupling on IQM Emerald and IBM Heron processors.
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Architecture-aware Unitary Synthesis
An architecture-aware unitary-synthesis transpiler is claimed to cut CNOT counts by 6-36% and run 39-940x faster than Qiskit/TKET/Pennylane on IQM Garnet and IBM Marrakesh circuits with 3-11 qubits.
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Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
QIML uses a quantum-trained Q-Prior to enhance classical autoregressive predictions of spatiotemporal chaos, improving accuracy by up to 17.25% and full-spectrum fidelity by up to 29.36% while enabling stable forecasts for 3D turbulent channel flow.
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Two-photon coupling via Josephson element II: Interaction dressing, cross-Kerr coupling, and limits of low-energy bosonic model
Cross-Kerr coupling in the two-photon bosonic regime of a SQUID-coupled phase qubit never vanishes due to potential asymmetry and coupler nonlinearity, with explicit limits on the number of coherent states needed for the approximation.
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Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
VarQEC uses a distinguishability loss as a machine-learning objective to variationally discover resource-efficient encoding circuits optimized for given noise models.
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Phase-Fidelity-Aware Truncated Quantum Fourier Transform for Scalable Phase Estimation on NISQ Hardware
A hardware-calibrated truncated QFT reduces gate count 31-44% at 30 qubits while bounding total variation distance error by O(2^{-d}) and outperforming full QFT under moderate noise.
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Designing a Machine Learning-Driven, Cross-Hardware Emulator for Noisy Quantum Computers with Gate-Based Protocols
Supervised ML trained on simulated gate set tomography data predicts noise models to build cross-hardware quantum emulators, validated by matching H2 unitary coupled cluster energy results to real hardware within 0.128% relative error.
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Practical HPCQC Integration with QDMI: A Real-Hardware Case Study with IQM Systems
A QDMI-based adapter for IQM quantum hardware enables reusable integration with Slurm and Qiskit in HPC centers, with open-source code provided.