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2026 SELECTION

QubitWire 100

100 people recognized for contributions to quantum computing. Unranked and alphabetical by surname.

An unranked collection. Browse by surname or start with an idea.

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Explain these topics
Error correction
Methods that protect encoded quantum information by detecting and correcting certain errors.
Neutral atoms
A hardware approach that stores quantum information in electrically neutral atoms.
Quantum networks
Links that distribute quantum information or entanglement between locations.
Algorithms & complexity
How quantum calculations work and what resources they require.
Foundations
The concepts and physical principles that quantum information builds on.

The 2026 selection10 of 100 people

About error correction
Error correction
Methods that protect encoded quantum information by detecting and correcting certain errors.

Jump to surname

C

1 person

Chow develops superconducting quantum-computing hardware, with experimental contributions to microwave entangling gates and parity measurements that connect individual qubits to error-correction architectures.

IBM Research

IBM Fellow and CTO of Quantum-Centric Supercomputing

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Why included? 3 sources

Chow’s work follows the engineering path from controlling two qubits to coordinating the operations needed by a protected quantum computer. A microwave entangling-gate experiment demonstrated interaction between fixed-frequency superconducting qubits. A later parity-detection experiment used a third qubit to measure shared information about two data qubits, an operation needed in error-correcting architectures. These results are specific, coauthored steps toward scalable systems. His IBM role also concerns integration with classical computing, connecting quantum hardware with the systems that coordinate it.

Quantum hardwareControl & measurement
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L

1 person

Lescanne helped demonstrate cat-qubit protection against bit flips and cofounded Alice & Bob to develop superconducting hardware that uses this asymmetry between error types.

Alice & Bob

Chief Technology Officer and cofounder, Alice & Bob

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Why included? 2 sources

Lescanne’s research explores whether hardware can suppress one class of errors before a larger correction code is applied. His collaborative cat-qubit experiment encoded information in a superconducting resonator stabilized by two-photon dissipation. Increasing the separation of its states suppressed bit flips, while phase flips still required attention. Alice & Bob’s history links that work to its 2020 founding. His contribution thus spans an experimentally tested protection mechanism and the attempt to develop it into a computing architecture.

Error correctionQuantum hardware
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M

1 person

Martinis develops superconducting quantum hardware, contributing to surface-code architecture and the Sycamore random-circuit experiment, and now works on scalable processor engineering as Qolab’s CTO.

Qolab

Chief Technology Officer and cofounder, Qolab

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Why included? 3 sources

Martinis connects superconducting device engineering with the demands of quantum computation. His collaborative surface-code paper makes protection requirements concrete through logical operations and resource estimates. The Sycamore experiment later tested programmable superconducting hardware on a specific sampling benchmark. Its historical performance comparison should be read in that setting, rather than as a claim of advantage for all useful applications. His current Qolab role continues the engineering focus on building and scaling quantum processors.

Quantum hardwareError correction
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N

1 person

Built Google’s quantum research program around superconducting processors, quantum algorithms and error correction, helping connect experimental milestones with a sustained effort toward useful large-scale computing.

Google

Vice President of Engineering; Founder and Lead, Google Quantum AI

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Why included? 5 sources

Neven’s contribution is the creation and leadership of a research program that joins hardware, algorithms and error correction. His own account dates the founding of Google Quantum AI to 2012. The Willow announcement documents a later milestone: logical error rates falling as the error-correcting code grows. Together these show both institutional continuity and a technically meaningful target. The profile credits the experiments to the research team and distinguishes benchmark or error-correction demonstrations from general commercial usefulness.

Quantum hardwareError correction

Documented work base: United States

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O

1 person

Develops superconducting quantum hardware across materials, devices and control, studying both the interactions that make processors work and the environmental effects that limit their reliability.

Massachusetts Institute of Technology

Professor of Physics; Director, Center for Quantum Engineering

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Why included? 3 sources

Oliver’s research links device engineering with the physics of reliable superconducting qubits. His coauthored work on giant artificial atoms demonstrates ways to control coupling and preserve interactions through a shared waveguide. A separate radiation study identifies an environmental source of quasiparticles that can degrade coherence, showing why processor design must include its surroundings. Together these contributions address useful interactions and unwanted disturbances. His MIT leadership connects that research with the broader engineering required to build quantum systems.

Quantum hardwareControl & measurement

Documented work base: United States

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P

3 people

Connects precision control of light and mechanical motion with superconducting quantum hardware, including the cat-qubit approach used by AWS to explore lower-overhead quantum error correction.

Caltech / Amazon Web Services

John G. Braun Professor of Applied Physics and Physics; Director of Quantum Hardware, AWS

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Why included? 3 sources

Painter’s contributions join the control of quantum physical systems with the engineering of a computing architecture. His group’s micromechanical experiment generated squeezed light on a silicon device, showing how designed structures can manipulate optical noise. More recently, his AWS hardware program demonstrated the Ocelot cat-qubit chip with error correction. The two results operate at different levels, device physics and encoded computation. Ocelot is an experimental building block toward larger systems, with substantial engineering still required for useful fault-tolerant computing.

Quantum hardwareError correction

Documented work base: United States

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Builds quantum hardware around cat qubits, connecting experimental suppression of selected errors in an oscillator with Alice & Bob’s effort to develop fault-tolerant superconducting computers.

Alice & Bob

Co-Founder and CEO

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Why included? 2 sources

Peronnin’s contribution begins with a concrete physical result: a coauthored experiment showed that an oscillator encoding could suppress bit flips exponentially as its encoded states were separated. That bias changes how error correction can be designed, although the remaining errors still require protection. Co-founding Alice & Bob with Raphaël Lescanne brought this approach into a company focused on quantum computing. His inclusion recognizes the connection between experimental research and sustained system development, without treating a proposed scalable architecture as already complete.

Quantum hardwareError correction

Documented work base: France

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Puri connects quantum-information theory with the noise a real device has, studying how control and error protection can work with that structure.

Yale University

Faculty member in Applied Physics, with an additional appointment in Physics

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Why included? 5 sources

Puri’s research asks how a device’s physical noise should shape the design of reliable computation. Her bias-preserving-gate work develops operations that retain an advantageous error structure during a calculation. Her coauthored Kerr-cat work connects that design question with experimental stabilization, gates and readout in superconducting oscillator systems. The Puri Group describes its focus as theoretical quantum information processing and quantum optics, with collaboration across experimental groups. That theory-to-device connection is useful for understanding why adding physical qubits alone is not a complete protection strategy: the code, operations, measurements and assumed noise all have to work together.

Error correctionQuantum hardware

Documented work base: United States

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S

1 person

Helped establish circuit quantum electrodynamics and co-developed the transmon, connecting superconducting qubits to microwave circuits that can control and protect quantum information.

Yale University

Sterling Professor of Applied Physics

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Why included? 2 sources

Schoelkopf helped turn superconducting electrical circuits into a platform for manipulating quantum information. Circuit quantum electrodynamics provides a way to couple artificial atoms to microwave photons, while the transmon design reduces a major source of qubit sensitivity. These contributions concern the physical building blocks of a processor, not just a single demonstration. His Yale research also connects those devices to quantum operations and error correction, linking foundational circuit design to the demands of computation.

Quantum hardwareError correction

Documented work base: United States

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T

1 person

Studies how quantum information can survive noise, combining rigorous limits on quantum memories with error-correction theory and research connected to physical qubit architectures.

QuTech, Delft University of Technology

Group leader

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Why included? 3 sources

Terhal’s work asks which kinds of protection quantum information can actually obtain from a physical system. A rigorous limitation on passive stabilizer-code memories clarifies what some architectures cannot provide automatically. Her broader work on quantum error correction explains the active codes, thresholds and decoding strategies used to pursue reliable storage and computation. This combination of constructive theory and carefully stated limits makes her research valuable for judging hardware proposals without confusing a promising design with proven resilience.

Error correctionFoundations

Documented work base: Netherlands

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About these checks

Linked sources support selected statements in each profile. Research sources include papers and preprints. A source count is not a ranking or a quality score.

The identification check date relates to the recorded professional description. Individual sources have their own check dates. The fixed 2026 selection stays separate from later profile corrections.

THE EDITORIAL VIEW

Why these people.
Why this field.

Quantum computing is shaped by more than headline breakthroughs. Progress also depends on the people who establish its limits, make its systems more reliable and turn difficult ideas into tools others can use.

The QubitWire 100 recognizes contributions across that work. Each profile explains what is being recognized and connects the account to its supporting evidence.

View the permanent 2026 record