
Liang Jiang
· Professor of Molecular Engineering in the UChicago Pritzker School of Molecular EngineeringUniversity of Chicago · Departments of Physics and Molecular Genetics and Cell Biology
Active 1981–2026
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About
Liang Jiang is a Professor of Molecular Engineering at the University of Chicago Pritzker School of Molecular Engineering. His research theoretically investigates quantum systems and explores various quantum applications, including quantum sensing, quantum transduction, quantum communication, and quantum computation. His focus is on using quantum control and error correction to protect quantum information from decoherence, aiming to realize robust quantum information processing. Jiang has worked on modular quantum computation, global-scale quantum networks, room-temperature nano-magnetometers, sub-wavelength imaging, micro-optical quantum transduction, and error-correction-assisted quantum sensing and simulation. He received his BS from Caltech in 2004 and his PhD from Harvard University in 2009. Following his doctoral studies, he worked as a Sherman Fairchild postdoctoral fellow at Caltech. In 2012, Jiang joined Yale University as an assistant professor and later as an associate professor of Applied Physics. He was awarded the Alfred P. Sloan Research Fellowship and the David and Lucile Packard Foundation Fellowship in 2013. In 2019, he moved to his current position at the University of Chicago. His group investigates quantum control and quantum error correction across various physical platforms, with potential applications in quantum sensing, transduction, communication, and computation.
Research topics
- Computer Science
- Quantum mechanics
- Physics
- Electrical engineering
- Telecommunications
- Distributed computing
- Engineering physics
- Theoretical computer science
- Computer engineering
- Parallel computing
Selected publications
Building a Fault-Tolerant Quantum Computer Using Concatenated Cat Codes
PRX Quantum · 2022 · 282 citations
An architectural analysis for a fault-tolerant quantum computer is thoroughly presented: With 1,000 superconducting circuit components, problems currently intractable for classical computers could be solved.
Development of Quantum Interconnects (QuICs) for Next-Generation Information Technologies
PRX Quantum · 2021 · 82 citations
Just as classical information technology rests on a foundation built of interconnected information-processing systems, quantum information technology (QIT) must do the same. A critical component of such systems is the interconnect, a device or process that allows transfer of information between disparate physical media, for example, semiconductor electronics, individual atoms, light pulses in optical fiber, or microwave fields. While interconnects have been well engineered for decades in the rea…
Practical Introduction to Benchmarking and Characterization of Quantum Computers
PRX Quantum · 2025-08-15 · 18 citations
preprintOpen accessRapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful quantum computation closer to fruition. These remarkable achievements have been facilitated by advances in quantum characterization, verification, and validation (QCVV). QCVV methods and protocols enable scientists and en…
Constant-Overhead Fault-Tolerant Bell-Pair Distillation Using High-Rate Codes
Physical Review Letters · 2025-09-25 · 9 citations
articleOpen accessSenior authorWe present a fault-tolerant Bell-pair distillation scheme achieving constant overhead through high-rate quantum low-density parity-check (qLDPC) codes. Our approach maintains a constant distillation rate equal to the code rate while requiring no additional overhead beyond the physical qubits of the code. Full circuit-level analysis demonstrates fault-tolerance for input Bell-pair infidelities below a threshold ∼10%, readily achievable with near-term capabilities. Unlike previous proposals, our s…
Quantum learning advantage on a scalable photonic platform
Science · 2025-09-25 · 5 citations
articleRecent advances in quantum technologies have demonstrated that quantum systems can outperform classical ones in specific tasks, a concept known as quantum advantage. Although previous efforts have focused on computational speedups, a definitive and provable quantum advantage that is unattainable by any classical system has remained elusive. In this work, we demonstrate a provable photonic quantum advantage by implementing a quantum-enhanced protocol for learning a high-dimensional physical proce…
Recent grants
Collaborative Research: FET: Medium: Design and Implementation of Quantum Databases
NSF · $300k · 2023–2026
Frequent coauthors
- 85 shared
Mikhail D. Lukin
Harvard University
- 77 shared
Robert Schoelkopf
- 60 shared
Sisi Zhou
Perimeter Institute
- 58 shared
Chang‐Ling Zou
University of Science and Technology of China
- 55 shared
Victor V. Albert
- 53 shared
Michel Devoret
- 50 shared
Luigi Frunzio
Yale University
- 49 shared
S. M. Girvin
Yale University
Labs
Education
- 2009
Ph.D., Physics
Harvard University
- 2004
B.S., Physics
California Institute of Technology
Awards & honors
- Alfred P. Sloan Research Fellowship
- David and Lucile Packard Foundation Fellowship
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