| Rigetti | |
|---|---|
| Name | Rigetti Computing |
| Type | Private |
| Industry | Quantum computing |
| Founded | 2013 |
| Founder | Chad Rigetti |
| Headquarters | Berkeley, California, United States |
| Key people | Chad Rigetti (CEO, founder) |
| Products | Aspen series, Forest SDK |
Rigetti
Rigetti is an American company that develops quantum computing hardware and software, principally focused on superconducting qubit processors and cloud-accessible quantum services. Founded in 2013 by physicist Chad Rigetti, the company is notable within the field for integrating on-premises fabrication, quantum control electronics, and a software stack intended to accelerate practical applications in areas such as quantum chemistry, optimization, and machine learning. Rigetti's work matters in the context of quantum physics because it advances scalable implementations of noisy intermediate-scale quantum (NISQ) devices and contributes to the broader industrial ecosystem around quantum advantage.
Rigetti was established to translate advances in condensed matter physics and superconducting circuit research into commercial quantum processors. Early milestones included the development of cryogenic control systems and collaboration with academic groups at institutions such as Yale University and University of California, Berkeley. The company attracted venture capital and talent from both the semiconductor and academia sectors, and competed alongside firms like IBM, Google Quantum AI, and D-Wave Systems in pursuing practical quantum hardware. Over time Rigetti expanded its operations to include a fabrication facility, research partnerships, and cloud-based offerings targeting enterprise and research customers.
Rigetti's architecture centers on fixed-frequency and tunable superconducting qubits coupled via microwave resonators and bus structures, following paradigms found in circuit quantum electrodynamics (cQED). Its processors, marketed under names such as the Aspen series, implement nearest-neighbor coupling topologies optimized for gate-based quantum algorithms like the quantum approximate optimization algorithm (QAOA) and variational quantum eigensolver (VQE). Rigetti emphasized modular control electronics and fast two-qubit gates to reduce decoherence impact, integrating elements from classical microwave engineering and cryogenic design. The company benchmarks devices using metrics comparable to quantum volume and gate fidelity measures promoted across the industry.
Rigetti fabricates superconducting qubits using thin-film aluminum and niobium on silicon substrates, employing techniques from microfabrication such as electron-beam lithography and shadow evaporation to create Josephson junctions. The company operates in-house foundry capabilities to iterate designs rapidly, aligning with practices at laboratories like IBM Research and university cleanrooms. Emphasis is placed on materials characterization, surface treatment, and packaging to mitigate sources of loss such as two-level systems and quasiparticle poisoning. Rigetti's fabrication pipeline supports experiments in qubit coherence time extension, crosstalk reduction, and scalable interconnects relevant to the development of logical qubits and error suppression strategies derived from quantum error correction research.
On the software side, Rigetti developed the Forest software development kit and the quantum instruction language Quil (Quantum Instruction Language) to express gate-level programs and hybrid quantum-classical workflows. These tools enable users to run circuits on simulators and cloud-connected hardware, integrate with classical optimizers, and employ variational algorithms. Rigetti's approach emphasizes close coupling between pulse control, calibration routines, and higher-level compilers—parallel to efforts in the OpenQASM and Qiskit ecosystems. Interoperability, remote job submission, and benchmarking utilities support researchers from academic groups and industrial partners.
Rigetti has contributed to peer-reviewed work in areas such as superconducting qubit design, gate calibration techniques, and hybrid algorithm demonstrations. The company has engaged in collaborations with national laboratories, universities, and industry partners including Lawrence Berkeley National Laboratory, NASA, and cloud providers to broaden access and validate algorithms in quantum chemistry and materials modeling. Publications and preprints from Rigetti researchers have addressed error mitigation methods, compilation strategies, and application-specific circuit optimization, positioning the firm as both a vendor and contributor to the scientific literature on applied quantum physics.
Rigetti offers cloud-based access to its processors through quantum-as-a-service offerings and enterprise partnerships, enabling clients to test algorithms without maintaining cryogenic infrastructure. Products and offerings have targeted sectors such as finance, logistics, pharmaceuticals, and energy, where combinatorial optimization and simulation are of interest. Rigetti's business model combines hardware sales, cloud usage fees, and collaboration agreements; it also competes in procurement and service agreements against offerings from Amazon Braket, Microsoft Azure Quantum, and IBM Quantum.
As with other quantum technology firms, Rigetti's work intersects with national technology policy, export-control regimes, and debates over responsible innovation. Concerns include dual-use implications for cryptography and the need for standards in benchmarking and verification to maintain trust and national competitiveness. Rigetti participates in discussions with policymakers, standards bodies, and the research community on topics such as post-quantum cryptography, workforce development, and public-private coordination to ensure that advances in quantum hardware translate into resilient and equitable technological benefits.
Category:Quantum computing companies Category:Companies based in Berkeley, California