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Shailesh Chandrasekharan, Professor of Physics

 

Shailesh Chandrasekharan

Prof. Chandrasekharan is interested in understanding quantum field theories non-perturbatively from first principles calculations. His research focuses on lattice formulations of these theories with emphasis on strongly correlated fermionic systems of interest in condensed matter, particle and nuclear physics. He develops novel Monte-Carlo algorithms to study these problems. He is particularly excited about solutions to the notoriously difficult sign problem that haunts quantum systems containing fermions and gauge fields. He has proposed an idea called the fermion bag approach, using which he has been able to solve numerous sign problems that seemed unsolvable earlier. Using various algorithmic advances over the past decade, he is interested in understanding the properties of quantum critical points containing interacting fermions. Some of his recent publications can be found here. Recently he is exploring how one can use quantum computers to solve quantum field theories. 

Please note: Shailesh has left Center for Theoretical & Mathematical Sciences at Duke University; some info here might not be up to date.

Contact Info:
Office Location:  Science Drive, 253, Physics/Math Bldg., Durham, NC 27708
Office Phone:  (919) 667-5300
Email Address: send me a message
Web Page:  http://www.phy.duke.edu/~sch/

Education:

Ph.D.Columbia University1996
Doctor of PhilosophyColumbia1995
M.Phil.Columbia University1994
M.A.Columbia University1992
B. TechIndian Institute of Technology, Madras, India1989
B.S.Indian Institute of Technology, Madras (India)1989

Specialties:

Theoretical nuclear physics
Theoretical particle physics and string theory
Theoretical condensed matter physics

Research Interests: Theoretical Nuclear and Particle Physics

Current projects: Strongly Coupled Lattice QCD,, Fermion/Cluster algorithms,, One Dimensional Electron Gas, SU(4) Kondo Problem

Prof. Chandrasekharan is interested in non-perturbative aspects of Quantum Field Theories. His research focuses on Lattice QCD and other strongly correlated fermionic systems. He develops novel Monte-Carlo algorithms to study these problems.

Areas of Interest:

Quantum Field Theories, Lattice formulations,
Critical Phenomena and Monte Carlo Algorithms.

Keywords:

Broken symmetry (Physics) • Critical phenomena (Physics) • Field theory (Physics) • Gauge fields (Physics) • Monte Carlo Algorithms (physics) • Particles (Nuclear physics) • Phase transformations (Statistical physics) • Quantum Computing (physics) • Quantum Sign Problems (physics) • Quasiparticles (Physics) • Special relativity (Physics) • Statistical physics • Symmetry (Physics) • World line (Physics)

Curriculum Vitae

Current Ph.D. Students   (Former Students)
  • Emilie Huffman  
  • Venkitesh Ayyar  

Postdocs Mentored
  • Anyi Li (2009 - 2011)  
  • Jose A. Hoyos Neto (2007 - 2009)  
  • Ji-Woo Lee (2003/09-2005/08)  
  • Jaebeom Yoo (2003/09-2005/08)  
  • Costas Strouthos (2003/01-2004/01)  
  • David H. Adams (2001/12-2002/08)  
  • James C Osborn (1999/09-2001/08)  

Recent Publications   (More Publications)   (search)

  1. Chandrasekharan, S; Siew, RX; Bhattacharya, T, Monomer-dimer tensor-network basis for qubit-regularized lattice gauge theories, Physical Review D, vol. 111 no. 11 (June, 2025), American Physical Society (APS) [doi]  [abs]
  2. Liu, H; Bhattacharya, T; Chandrasekharan, S; Gupta, R, Phases of 2D massless QCD with qubit regularization, Physical Review D, vol. 111 no. 9 (May, 2025) [doi]  [abs]
  3. Siew, RX; Chandrasekharan, S; Kaul, RK, Transverse field γ -matrix spin chains, Physical Review D, vol. 110 no. 9 (November, 2024), American Physical Society (APS) [doi]  [abs]
  4. Chandrasekharan, S; Nguyen, ST; Richardson, TR, Worldline Monte Carlo method for few-body nuclear physics, Physical Review C, vol. 110 no. 2 (August, 2024), American Physical Society (APS) [doi]  [abs]
  5. Maiti, S; Banerjee, D; Chandrasekharan, S; Marinkovic, MK, Asymptotic Freedom at the Berezinskii-Kosterlitz-Thouless Transition without Fine-Tuning Using a Qubit Regularization., Physical review letters, vol. 132 no. 4 (January, 2024), pp. 041601, American Physical Society (APS) [doi]  [abs]