| Rigetti Computing | |
|---|---|
| Name | Rigetti Computing |
| Type | Private |
| Industry | Quantum computing |
| Founded | 2013 |
| Founder | Chad Rigetti |
| Headquarters | Berkeley, California |
| Key people | Chad Rigetti (founder, CEO) |
| Products | Aspen series, Forest SDK, Quantum cloud computing |
Rigetti Computing
Rigetti Computing is an American quantum computing company that develops superconducting quantum processors and cloud-accessible quantum computing services. Founded in 2013 by Chad Rigetti, the company aims to integrate quantum hardware with classical computing to accelerate research in fields such as quantum chemistry, optimization, and machine learning. Rigetti's work is notable within Quantum Physics for advancing practical superconducting qubit architectures and hybrid quantum-classical frameworks.
Rigetti Computing was founded in 2013 after Chad Rigetti's research at Yale University and work in quantum information science. Early funding rounds included venture capital from firms such as Andreessen Horowitz and Lux Capital. The company established a quantum hardware lab in Berkeley, California and later expanded operations to include fabrication facilities and cloud services. Rigetti has navigated the startup landscape alongside other quantum firms such as IBM Quantum, Google Quantum AI, IonQ, and D-Wave Systems. Milestones include the first delivery of a cloud-accessible superconducting processor, successive releases of the Aspen processor series, and launches of software platforms to enable gate-model experiments for academia and industry.
Rigetti's hardware is based on fixed-frequency and tunable superconducting qubit designs, employing transmon qubit variants fabricated with superconducting materials and lithography techniques. The company's processors use planar and multi-chip module layouts with microwave control for single- and two-qubit gates, cryogenic environments provided by dilution refrigerator systems, and quantum-classical control stacks. Rigetti has developed tunable couplers and calibration protocols to mitigate decoherence and crosstalk, referencing metrics such as T1 and T2 coherence times, gate fidelities, and readout fidelity. Architecture choices are compared against alternatives like trapped ion systems (e.g., Honeywell/Quantinuum) and topological quantum computing proposals.
Rigetti provides a hybrid platform combining cloud-accessible quantum hardware with classical orchestration. The company's software stack historically included the Forest SDK and the QUIL quantum instruction language, designed for hybrid quantum-classical algorithms such as variational quantum eigensolver (VQE) and quantum approximate optimization algorithm (QAOA). Rigetti's approach emphasizes close integration of quantum processors with classical high-performance computing and noise-aware compilation. The platform supports remote access through cloud interfaces and competes with services like IBM Quantum Experience and Amazon Braket.
Rigetti has published work on superconducting qubit fabrication, error mitigation, control electronics, and hybrid algorithms, contributing to the body of experimental quantum information literature. The company has collaborated with academic institutions including University of California, Berkeley, Yale University, and University of Chicago, and with national laboratories and industry partners. Collaborative projects have addressed benchmarking methods (including randomized benchmarking), noise characterization, and demonstrations of small-scale quantum algorithms. Rigetti researchers have presented at conferences such as the Conference on Quantum Information Processing and the American Physical Society meetings, and have engaged with standards and benchmarking initiatives within the quantum ecosystem.
Rigetti pursues commercial applications for quantum-enhanced workflows in areas like quantum chemistry for materials and pharmaceuticals, combinatorial optimization for logistics and finance, and machine learning tasks that can leverage variational circuits. Partnerships have included cloud providers and enterprise customers integrating Rigetti processors into pilot projects, as well as collaborations with companies exploring quantum advantage for specific workloads. The company has engaged with government and defense research programs and has explored use cases alongside consulting and systems-integration firms. Rigetti's commercial positioning parallels other vendors offering quantum cloud services such as Microsoft Quantum (via Azure Quantum), Google Cloud, and Amazon Web Services.
Rigetti faces challenges common to superconducting quantum hardware: scaling qubit counts while maintaining coherence, reducing gate errors, and improving connectivity and control. Performance benchmarks reported by Rigetti include gate fidelities and results from benchmarking protocols like randomized benchmarking and cross-entropy benchmarking, used to compare to competitors' claims of quantum supremacy and quantum volume metrics such as Quantum volume. The roadmap emphasizes incremental scaling of the Aspen line, improvements in cryogenic control electronics, and software advances in compilation and error mitigation to enable larger hybrid algorithms (e.g., VQE and QAOA). Continued progress depends on materials research, fabrication yield, cryogenic engineering, and algorithmic developments in the broader quantum computing community.
Category:Quantum computing companies Category:Companies based in Berkeley, California