PeopleofSuperintelligence

Researcher

Liang Jiang

Liang Jiang is a quantum information researcher whose work links neural-network decoding with quantum error correction. After a Sherman Fairchild postdoctoral fellowship at Caltech, he joined Yale's faculty as an assistant professor in 2012, became an associate professor, and received Sloan and Packard fellowships in 2013. His work includes a probabilistic neural-network decoder for stabilizer codes in 2017 and a 2018 study of error correction for Heisenberg-limited metrology under Markovian noise. He moved to the University of Chicago's Pritzker School of Molecular Engineering in 2019. There, he is a professor of molecular engineering; his group studies quantum control and error correction, and he is a co-investigator on an AI-guided quantum sensing project announced in October 2026.

Works
529
Citations
32,687
h-index
82
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2004–2009

    Caltech and Harvard degrees

    He earns a BS from Caltech in 2004 and a PhD from Harvard University in 2009.

  2. 2012

    Yale assistant professor

    After a Sherman Fairchild postdoctoral fellowship at Caltech, he joins Yale's faculty as an assistant professor of applied physics in 2012 and becomes an associate professor of Applied Physics.

  3. 2013

    Sloan and Packard fellowships

    In 2013, he receives the Alfred P. Sloan Research Fellowship and the David and Lucile Packard Foundation Fellowship while serving as an assistant professor of applied physics at Yale.

  4. 2017

    A probabilistic decoder

    In 2017, he and Stefan Krastanov coauthor a probabilistic neural-network decoder for stabilizer codes. The network calculates an error distribution conditioned on syndromes, then samples a predicted error.

  5. 2018

    Quantum error correction in metrology

    With Sisi Zhou, Mengzhen Zhang and John Preskill, he derives a necessary and sufficient condition in 2018 for quantum error correction to reach the Heisenberg limit under Markovian noise.

  6. 2019

    Moving to Chicago

    In 2019, he moves from Yale University to the University of Chicago's Pritzker School of Molecular Engineering as a professor.

  7. October 2026

    AI-guided quantum sensing

    In October 2026, he is a co-investigator on an AI-guided quantum sensing project at UChicago.

  8. As of October 2026

    Professor of Molecular Engineering

    He is a professor of molecular engineering at UChicago's Pritzker School as of October 2026. His group investigates quantum control and error correction for sensing, transduction, communication and computation.

Career

  1. Since 2019University of ChicagoProfessor of Molecular Engineering
  2. 2021–2025Amazon
  3. 2012–2019Yale UniversityAssistant Professor
  4. 2010–2013Nanjing University
  5. 2007–2013California Institute of TechnologySherman Fairchild postdoctoral fellow

Education

  1. 2009Harvard UniversityPhD
  2. 2004California Institute of TechnologyBS

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Nanoscale magnetic sensing with an individual electronic spin in diamond2008 · Nature · 1,984 citations
  2. High-sensitivity diamond magnetometer with nanoscale resolution2008 · Nature Physics · 1,961 citations
  3. Quantum Register Based on Individual Electronic and Nuclear Spin Qubits in Diamond2007 · Science · 1,285 citations
  4. Quantum entanglement between an optical photon and a solid-state spin qubit2010 · Nature · 1,203 citations
  5. Parity–time symmetry and variable optical isolation in active–passive-coupled microresonators2014 · Nature Photonics · 1,198 citations

From OpenAlex, as of 21 October 2026.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Liang Jiang. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Chicago. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Chicago. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. Among employers with 30+ full-time cases, OpenAI leads primary technical role H-1B pay at $310,000, and Amazon, Google and Microsoft file 57% of all casesIncludes Amazon. Across 440,669 certified US H-1B filings from 44 employers (FY2020–FY2026), OpenAI leads primary technical role base pay at $310,000 and xAI leads overall base pay at $290,000.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Liang Jiang yet. Send us a free-licensed photo.

  1. Liang Jiang | PME | The University of Chicago pme.uchicago.edu. Checked 21 October 2026.
  2. Five Yale scholars named Sloan Fellows news.yale.edu. Checked 21 October 2026.
  3. Jiang of applied physics wins Packard Fellowship | Yale News news.yale.edu. Checked 21 October 2026.
  4. Deep Neural Network Probabilistic Decoder for Stabilizer Codes | Scientific Reports nature.com. Checked 21 October 2026.
  5. Achieving the Heisenberg limit in quantum metrology using quantum error correction | Nature Communications nature.com. Checked 21 October 2026.
  6. PME welcomes new Professor Liang Jiang | Chicago Quantum Exchange chicagoquantum.org. Checked 21 October 2026.
  7. Fermilab to lead two new Genesis Mission awards to accelerate development of microelectronics and quantum pme.uchicago.edu. Checked 21 October 2026.