Rigetti Computing is developing a fault-tolerant gate-based solid state quantum processor. Our technology is highly scalable and low cost, capable of reaching the large memory sizes needed to run real-world quantum algorithms. Learn more about Rigetti Computing from our CEO here.

  • Chad Rigetti, Founder & CEO

    PhD Applied Physics, Yale University

    Most recently Chad was Technical Lead for 3-D quantum computing at IBM Research. He has been building prototype quantum processors for 12+ years. At Yale, he developed the first all-microwave control methods for superconducting qubits, and at IBM built qubits with world-record performance.

  • Mehrnoosh Vahidpour

    PhD Electrical Engineering, University of Michigan

    Mehrnoosh is an expert in applied and computational electromagnetics and microfabrication techniques. She has experience working on various electromagnetics problems ranging from millimeter-wave radars to microwave plasmas. Most recently, she was an advanced research scientist at Agilent Technologies.

  • Eyob Sete

    PhD Physics, Texas A&M University

    Eyob is an expert in superconducting quantum circuit physics. He previously worked on quantum computing at UC Riverside and developed fast high fidelity readout for superconducting qubits that is immune to losses. He has over a decade of research experience in quantum optics, laser physics, and quantum information.

  • Nick Rubin

    PHD Theoretical Chemistry, University of Chicago

    Nick has broad experience in computational studies of chemical and condensed matter systems. He has worked on designing and performing simulations for novel battery technologies, High-Tc superconductors, and strongly correlated polymers. His PhD was on the development of novel electronic structure methods under the umbrella of reduced-density-matrix mechanics applied to extended systems.

  • Madhav Thattai

    MS Management, Stanford University

    Madhav is an experienced technology industry executive with a broad background in operations, strategy, product management, and services. He has over 8 years' expertise in starting, growing, and leading global organizations. His focus is on lean process, sustainable scaling, and organizational development.

  • Will Zeng

    PHD, Quantum Algorithms, UNIVERSITY OF OXFORD

    Will completed his PhD on the mathematical structure of quantum algorithms as a Rhodes Scholar at the University of Oxford. He has worked with superconducing qubits in labs at Yale and ETH Zurich, giving him almost a decade of experience in both quantum computing theory and experiment.

  • Shane Caldwell

    PhD Physics, University of Chicago

    Shane has a deep background in ion trapping for nuclear physics. He designed a cryogenic linear RFQ for ion storage and invented a compact liquid nitrogen pump. For his PhD, he realized a novel technique for beta-delayed neutron spectroscopy and performed several world-class measurements on r-process nuclei near N=82.

  • Andrew Bestwick

    PhD Physics, Stanford University

    Andrew has nearly a decade of experience studying quantum materials with potential applications in energy and quantum information, including topological insulators, superconductors, graphene, and carbon nanotubes. He has also built world-class capabilities in cryogenics and nanofabrication.

  • Matt Reagor

    PHD Physics, Yale University

    Matt's thesis demonstrates a novel architecture for quantum information processing that currently holds the quantum-memory record for superconducting circuits. He was awarded an IEEE Applied Superconductivity Graduate Fellowship in 2015 for this work.

  • Michael Selvanayagam

    PhD Electrical Engineering, University of Toronto

    Michael's thesis focuses on microwave metamaterials and their application to cloaking, negative refraction and polarization. He has extensive experience in cutting-edge electromagnetic modeling and measurement techniques.

  • Spike Curtis

    PhD Atomic Physics, University of Oxford

    Spike has broad experience in quantum computing and software development. He completed his PhD with the Oxford Ion Trap Quantum Computing group in 2010, then spent 5 years in developer and customer facing roles working on Internet networks and data analysis software.

  • William O'Brien

    PhD Electrical Engineering, University of Notre Dame

    William is a specialist in the growth of electronic materials and devices by molecular beam epitaxy, with deep experience in surface science and microfabrication. His graduate research work included 3D strain engineering on suspended Ge membranes and the development of strain-free, embedded Ge quantum dot photonic devices. William recently completed a graduate internship at Intel Corporation in Santa Clara, where he worked on high speed optoelectronic measurements and data analytics to support hybrid (Si/III-V) laser development.

  • Robert Smith

    Software and Applications

    Robert brings a breadth of experience in advanced software and hardware, from computational group theory to microwave holography. He focuses on engineering that requires a broad understanding of underlying mathematical structure. He is among the top-10% recipients of the Donald Knuth reward checks and is President of the Association of Lisp Users.

  • Alexander Papageorge

    PhD Applied Physics, Stanford University

    Alexander's focus is in the implementation and study of CQED systems. He has expertise in the design and construction of experimental apparatus as well as the analysis and simulation of quantum optical phenomena. For his PhD he built and characterized a novel ultracold-atoms machine to investigate quantum soft-condensed-matter.

  • Joel Angeles

    MS Materials Science and Engineering, University Of California, Irvine

    Joel has a multi-disciplined background and has over a decade of experience in the aerospace, semiconductor, and pharmaceutical/medical business environments. He has worked for high-tech companies specializing in defense, and healthcare and has extensive consulting experience with numerous R&D startups engaged in semiconductor fabrication.

  • Anthony Polloreno

    BA Computer Science, Mathematics, and Physics, The University of California, Berkeley

    Anthony's interests span computer science, mathematics, and physics. He has interned at both Lawrence Berkeley National Laboratories where he assisted in the development of x-ray optics, as well as at Sandia National Laboratories where he worked on quantum optimal control.

  • Ben Bloom

    PhD Physics, University of Colorado Boulder

    Ben is an expert in precision measurement in both classical and quantum systems. Beginning with his work on quantum memories in dilute quantum gases he has focused on systems that integrate perfect quantum systems into large classical apparatuses. Ben helped lead a team that achieved 18 decimal places of accuracy and stability in frequency measurement of a quantum system.

  • Rodney Sinclair


    Rodney has a broad background in applied mathematics, numerical analysis, physics, RF, video, control theory, and electronics. His recent FPGA development experience includes several video systems, the entire digital side of a CW radar, and the world's fastest soft processor for FPGAs.

  • Russ Renzas

    PHD in Physical Chemistry, The University of California, Berkeley

    Russ is an expert in nanomaterials and characterization. Prior to Rigetti, he started and led the Characterization/FMEA group at silver nanowire film startup Innova Dynamics and developed carbon nanotube-based electronic components at Tyco Electronics.

  • Max Block

    BS Physics, Stanford University

    Max has wide-ranging experience simulating quantum physics from condensed matter to optical systems. His thesis analyzed the use of cavity QED fields expressed as a continuous matrix product state for the simulation of 1-D quantum fields. He also assisted the setup of a cryostat for testing dark-matter detection equipment at SLAC.

  • Michael Scheer

    BS Mathematical Physics, Brown University

    Michael's background includes quantum physics and quantum information theory as well mathematics and computer science. In his thesis with the Zia lab at Brown and the I-lab at QuTech he applied machine learning techniques to locate carbon-13 nuclear spins near a nitrogen-vacancy center in diamond using data from dynamical decoupling measurements.

  • John Costa

    BS Business Administration, University of Houston

    In addition to over 20 years of experience in the semiconductor, display and service industries, John possesses an extensive background in wafer fabrication operations management, regulatory compliance program development and sustainment. While managing sizable operational teams, he continued to refine his skill set in fiscal planning and management, as well as plant optimization and improvement.

  • Alex Hudson

    PHD Magnetic Resonance Imaging, University of Nottingham

    Alex possesses a deep technical background in x-ray, cryogenics, and imaging technologies. His achievement in constructing and directing world-class R&D groups is evidenced in the launch of innovative and disruptive products in an array of industries comprising of but not limited to: Aviation Security, Imaging systems, Production Line QA and Scientific Instruments.

  • Damon Russell


    Damon has over 20 years of experience in the design of microwave components and instrumentation. His PhD focused on the development of low-noise amplifiers and instruments for cryogenic device characterization, technologies which have helped enable dense arrays of cryogenic receivers. He was previously with the Jet Propulsion Laboratory, where he led the development of radiometers for JUNO, and several earth-observing instruments.

  • Jack Shahin

    People and Human Resources

    Jack brings nearly two decades of experience in the acquisition, retention, and development of talent throughout Silicon Valley. He has honed his people-craft while helping to build and develop high performance teams at companies such as Facebook, VMware, and Netflix, as well as several start-ups in both the hardware and software space.

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