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University of Pittsburgh

Junqi Wang.

PhD Student in Computer Science

Quantum information · Learning theory · Physics of machine learning

About me

I am a second-year PhD student in Computer Science at the University of Pittsburgh, advised by Prof. Junyu Liu. My work connects quantum information, machine learning, and theoretical physics. I study representation learning with quantum signal processing, scaling and renormalization in neural-network training, and quantum resources in cosmology and high-energy physics. I also explore quantum information processing with phononic systems, motivated by broader questions in continuous-variable quantum information.

Before Pitt, I received an MPhil in Physics from HKUST, advised by Prof. Yi Wang, and a BS in Physics from Nanjing University.

I am looking for Summer 2027 research internships in quantum computing, machine-learning theory, or quantitative research. Let’s get in touch.

News

  1. New preprint on an effective renormalization-group description of grokking. Read the paper
  2. New first-author preprint: Representation Learning with Quantum Signal Processing.
  3. Co-authored a comprehensive review of AI and quantum information.
  4. Contributed talk at COSMO-25, Carnegie Mellon University.
  5. Fall 2025Started my PhD in Computer Science at the University of Pittsburgh.

Research

Quantum learning theory

Exactly solvable models of how quantum learning models change their feature geometry during training, including exact kernel statistics and convergence guarantees.

Physics of machine learning

Scaling and renormalization-group descriptions of training phenomena such as grokking, connecting critical exponents to measurable training statistics.

Quantum resources in fundamental physics

Bell tests and decoherence of primordial fluctuations, and non-stabilizerness (magic) of fermion pairs produced in high-energy collisions.

Phononic quantum information

Exploring quantum routing for QRAM and the characterization of quantum operations in circuit quantum acoustodynamics.

Publications & preprints

2026 · Preprint

Scaling and Renormalization in Neural Networks: An Effective Renormalization-Group Description of Grokking

Min Chen, Junqi Wang, Zeguan Wu, Wenhao Huang, Junyu Liu

An ensemble-based scaling and real-space renormalization framework for grokking, comparing predicted critical exponents with estimates from training statistics.

2026 · Preprint

Representation Learning with Quantum Signal Processing

Junqi Wang, Junyu Liu

A solvable model of representation learning, with exact kernel statistics and a sparse-data convergence guarantee for nonlinear gradient flow.

2026 · Review preprint

When AI meets quantum information: A comprehensive review

Min Chen, Yu Gan, Xin Jin, Yuqing Li, Junqi Wang, et al.

A survey of AI methods for quantum systems and quantum-information approaches to learning.

2024 · JCAP 10 (2024) 084

Cosmological Bell Tests with Decoherence Effects

Chon Man Sou, Junqi Wang, Yi Wang (alphabetical order)

How interactions decohere primordial perturbations and remove Bell-inequality violation, with a Bell-test curve identifying a finite testing window.

Abstract & figure

The inflationary universe creates particle pairs, which are entangled in their momenta due to momentum conservation. Operators involving the momenta of the fluctuations can be rewritten into pseudo-spin operators, such as the Gour–Khanna–Mann–Revzen (GKMR) pseudo-spin. Making use of these pseudo-spin operators, cosmological Bell inequalities can be formulated. The violation of these Bell inequalities indicates the quantum nature of primordial fluctuations.

In this work, we focus on primordial curvature perturbations. Since curvature perturbations arise from gravity, their action includes the Gibbons–Hawking–York boundary term. We clarify the role of the boundary term in selecting suitable initial conditions for linear perturbations.

After that, we proceed to the interactions of cosmological perturbations, including the bulk and boundary interaction terms, which introduce decoherence effects. These decoherence effects change the expectation value of the Bell operator, and gradually restore the Bell inequality. We describe this process by a “Bell test curve”, which offers a window around 5 e-folds for testing the quantum origin of cosmological perturbations. We also explore the possibility of extracting the information of the decoherence rate and the structure of primordial interactions from the Bell test curve.

Bell-operator expectation curves comparing calculations with and without a quadratic boundary term.

Talks & posters

One-loop thermal radiation exchange in scalar power spectrum

Contributed talk · COSMO-25 · Carnegie Mellon University, Pittsburgh · Oct 2025

Probes of the Quantum Universe

Poster · 19th Asian Winter School on Strings, Particles and Cosmology · Sanya · Jan 2025

Experience & teaching

Research experience

Visiting Student Researcher · UC Berkeley

Host: Daniel Carney · Sep–Dec 2024

Explored spin squeezing for atom-interferometric gravimetry.

Research Intern · University of Tokyo

Host: Tomotake Matsumura · Jul–Aug 2022

Optimization of achromatic wave plates for CMB polarimetry.

Teaching

Grader · CS 0441 Discrete Structures

University of Pittsburgh · 2025–26

Teaching Assistant · General Physics Laboratory

HKUST · 2024

Research notes

Explanations, derivations, and notes on my work.

No notes yet.

Reading & thoughts

Reading notes, questions, and ideas still taking shape.

No notes yet.

Contact

junqi.wang@pitt.edu

Department of Computer Science, University of Pittsburgh