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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.

Browse by topic
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 selection7 of 100 people

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H

1 person

Home develops trapped-ion control and oscillator encodings, helping demonstrate a logical grid-state qubit and correction cycles that prolong information stored in an ion’s motion.

ETH Zurich

Professor, ETH Zurich

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Why included? 3 sources

Home’s experimental work explores how a single oscillator can carry a protected logical qubit. His collaborations first prepared and controlled grid states in the motion of a trapped calcium ion, then demonstrated correction of small shifts in position and momentum. This connects a mathematical encoding to the physical operations needed to maintain it. The results are significant steps in quantum control and error correction, with their scope limited to the particular encoded systems and procedures tested.

Error correctionControl & measurement

Documented work base: Switzerland

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K

1 person

Kitaev developed foundational approaches to protecting quantum information, including computation with anyons and the oscillator encoding now known as the Gottesman–Kitaev–Preskill code.

California Institute of Technology

Ronald and Maxine Linde Professor of Theoretical Physics and Mathematics, Caltech

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Why included? 3 sources

Kitaev’s work changes how quantum information can be represented and protected. His anyon construction connects fault-tolerant operations to the structure of a two-dimensional quantum system. With Gottesman and Preskill, he also showed how a discrete logical qubit could be embedded in a continuous-variable oscillator and protected against small shifts. These ideas provide architectural building blocks across different hardware programs. They are theoretical constructions whose physical realization requires additional experimental control and error-management work.

Error correctionFoundations

Documented work base: United States

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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
Identification checked Explore the contributions and sources

P

4 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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Preskill connects the theory of reliable quantum computation with a practical question: what can a noisy machine accomplish, and what would it take to protect a useful calculation?

California Institute of Technology

Richard P. Feynman Professor of Theoretical Physics

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Why included? 5 sources

Preskill’s work links methods for protecting quantum information with a framework for reading the field’s promises. With Daniel Gottesman and Alexei Kitaev, he introduced an oscillator encoding that protects against small displacement errors. His NISQ-era analysis examines opportunities and limitations before comprehensive error correction is available. Together, these contributions explain why physical-qubit counts alone cannot tell a reader whether a machine can perform a reliable calculation. His current Caltech curriculum vitae also lists a Senior Scientist role at Oratomic beginning in 2026, alongside his academic appointments. That concurrent affiliation provides context for reading company forecasts; the underlying research and its assumptions remain the evidence to examine.

FoundationsError correction

Documented work base: United States

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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

Identification checked Explore the contributions and sources
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