Chronological feed of everything captured from Chad Rigetti.
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.
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 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.