Portrait of Ewin Tang
Photo: Ewin Tang / FigureAsia · FigureAsia backend asset — publication permission on file

FigureAsia 35 Under 35 · Science

Ewin Tang

Age 25 · Quantum information and classical algorithms · United States / Taiwan

Theorist redefining the boundary between quantum advantage and efficient classical computation.

Approximate age at the edition eligibility date
25
Field
Theoretical computer science
Country or region
United States / Taiwan
FigureAsia U35 Assessment
93.1 / 100

Career and documented record

Ewin Tang made her name by showing that a celebrated quantum recommendation algorithm had an efficient classical counterpart. Her later work has turned that intervention into a broader research programme: identify the structural assumption behind a claimed quantum advantage, then test how much of it a carefully designed classical algorithm can recover.

During 2025–26, Tang extended that programme into the structure and learnability of quantum systems, including conditions governing quantum Markov chains and the information needed to learn open-system dynamics. The work is theoretical, but the stakes are practical: honest quantum advantage depends on the quality of the classical baseline.

Recognition through the 2025 Maryam Mirzakhani New Frontiers Prize and an incoming Princeton faculty appointment reflects more than precocity. At 25, Tang has already changed how an entire subfield frames its central comparison.

Why Ewin Tang is on the list

Tang’s distinction is that she does not merely solve problems inside quantum information; she changes the questions the field must answer. Her record combines original algorithms, conceptual discipline and an unusual willingness to make quantum claims harder—not easier—to defend.

The 2025–26 record

New Frontiers Prize

Received the Maryam Mirzakhani New Frontiers Prize for foundational work in quantum algorithms and complexity.

Quantum Markov structure

Advanced theoretical conditions connecting rapid mixing and conditional mutual information in quantum systems.

Learning open quantum systems

Studied the information and algorithmic structure required to learn open-system dynamics.

The work in its field

Quantum advantage is meaningful only against the best classical method under comparable data access and assumptions. Tang's programme raises that baseline and makes claims of separation more rigorous.

Assessment breakdown

93.1out of 100

01

Substantive 2025–2026 contribution

18.1 / 20

Received the Maryam Mirzakhani New Frontiers Prize for foundational work in quantum algorithms and complexity.

02

Verified scientific impact

13.9 / 15

Tang's classical challenges have become part of the standard intellectual discipline around quantum speedup claims, reinforced by major field recognition.

03

Originality and distinction

9.3 / 10

The distinction lies in turning quantum-inspired data access and structural assumptions into unexpectedly strong classical algorithms.

04

Field influence

9.3 / 10

Researchers in quantum information and classical algorithms now have a stronger result to test, extend or challenge because of this contribution.

05

Individual agency

9.3 / 10

Tang's single- and co-authored theoretical record identifies a coherent programme she originated and continues to lead.

06

Durability and trajectory

4.8 / 5

The contribution builds on an active line of work at University of California, Berkeley and Princeton University, with further tests and applications still to come.

07

Asian significance and global relevance

4.8 / 5

Taiwanese-American scientist whose family and academic record form a documented East Asian diaspora connection.

08

Evidential validity and reproducibility

7.5 / 8

Formal theorems make assumptions explicit and results auditable; the profile separates asymptotic insight from hardware claims.

09

Advance in scientific knowledge

6.6 / 7

The research sharpens where quantum and classical computation truly diverge.

10

Translational or methodological utility

4.7 / 5

Stronger classical baselines help researchers allocate quantum resources to problems where a defensible separation may exist.

11

Responsible research stewardship

4.8 / 5

The work exemplifies scientific restraint by challenging inflated advantage claims with reproducible mathematics.

Evidence and attribution

Material claims on this page are supported by the edition’s evidence record. FigureAsia tests age, identity, role, result and individual attribution before publication. Public profiles present the reported record; supporting documentation is retained for accuracy review and corrections.

Achievement records
3
Assessment window
2025–26
Editorial status
Included in the 2026 FigureAsia 35 Under 35 edition

Rights and credit

The portrait is published under the rights basis recorded for this edition. Third-party ownership and reuse restrictions remain in force.

Publication status
Published under a documented rights basis
Credit
Ewin Tang / FigureAsia
Licence
FigureAsia backend asset — publication permission on file
Portrait source and credit