paper / chadrigetti / Nov 30
This paper details a hybrid quantum-classical machine learning approach to generate synthetic weather radar images. The method combines conventional convolutional neural networks with quantum-assisted models to improve the accuracy of radar-like products in areas without traditional radar coverage. This research establishes synthetic weather radar as a benchmark for assessing quantum computing capabilities and exploring potential quantum advantage in a high-impact application.
quantum-machine-learningweather-forecastinggenerative-modelsradar-imagingquantum-computing-applicationshybrid-models
“High-resolution weather radar images are essential for effective forecasting and decision-making.”
paper / chadrigetti / Feb 26
This work demonstrates a modular solid-state architecture for superconducting qubits, overcoming a primary challenge in scaling quantum computers. It achieves high-fidelity inter-module entanglement between four separate silicon dies, exhibiting two-qubit gate fidelities up to 99.1% for iSWAP and 98.3% for CZ gates. This modular approach provides a foundation for future fault-tolerant quantum processors.
quantum-computingsuperconducting-qubitsmodular-architecturequantum-entanglementquantum-interconnectsbell-inequality
“A modular solid-state architecture for superconducting qubits has been demonstrated.”
paper / chadrigetti / Aug 21
This research introduces a reinforcement learning framework to automate the synthesis of short, efficient quantum programs for combinatorial optimization on hybrid quantum-classical systems. The method demonstrates critical robustness by generalizing from training sets to unseen problems and transferring effectively from simulated environments to physical gate-based quantum hardware.
quantum-computingreinforcement-learningcombinatorial-optimizationquantum-programmingarxivmachine-learninghybrid-systems
“Reinforcement learning (RL) can be used to automate the programming of hybrid quantum-classical computing systems for combinatorial optimization.”
paper / chadrigetti / Aug 7
The researchers developed a microfabrication method for superconducting through-silicon vias (TSVs) using a sloped-wall geometry. This architectural choice allows for the use of high-quality, non-conformal deposition techniques like sputtering and e-beam evaporation. Superconductivity was successfully validated using aluminum, reaching zero via-to-via resistance below its critical temperature.
superconducting-viasquantum-computingmicrofabricationquantum-processorsapplied-physicsnanotechnology
“A microfabrication process exists for creating superconducting through-silicon vias (TSVs) suitable for superconducting qubit quantum processors.”
paper / chadrigetti / Aug 7
Superconducting caps are demonstrated as a viable component for 3D quantum integrated circuit architectures. These caps facilitate isolation, enhance vacuum participation, and improve the performance of resonant elements within qubit circuits. The research confirms the reliable fabrication and successful integration of these caps, forming superconducting connections.
quantum-computingsuperconducting-circuitsqubit-fabricationapplied-physicsquantum-integrated-circuits
“Superconducting caps form the upper half of an enclosure in a 3D quantum integrated circuit architecture.”