RIGETTI COMPUTING QUANTUM AI
Explore Rigetti's latest work in superconducting quantum processors, quantum error correction, processor control, quantum algorithms and application-focused research.
FEATURED RESEARCH
Rigetti demonstrates wafer-scale Alternating-Bias-Assisted Annealing for precision transmon frequency targeting, extending the technique to simultaneous multi-channel tuning.
Rigetti introduces a proprietary adiabatic controlled-Z gate designed for high-fidelity quantum processors and quantum error correction by pulsing the tunable coupler.
Rigetti demonstrates an on-chip thermometry method using superconducting Dayem bridges integrated alongside transmon qubits to measure local chip temperature.
Rigetti studies quantum preconditioning for constrained combinatorial optimization, using QAOA-derived correlations to guide classical mixed-integer programming solvers.
Rigetti demonstrates real-time quantum error correction using a scalable FPGA decoder integrated into the control system of a superconducting quantum processor.
Rigetti demonstrates a symmetric floating tunable coupler for fast, high-fidelity adiabatic controlled-Z gates while preserving exact cancellation of residual ZZ interaction.
Browse the complete collection of Rigetti's quantum research, papers and breakthroughs.
