Quantum Computing and Tensor Networks

The group explores quantum computing and tensor network methods as modern tools for understanding strongly interacting quantum systems, holography, and quantum gravity. Tensor networks provide powerful ways to study entanglement, emergent spacetime geometry, and many-body quantum dynamics, often revealing deep connections between quantum information and gravitational physics. The group is also interested in quantum computation and quantum simulation, investigating how quantum algorithms and information-theoretic ideas can help probe complex quantum field theories and fundamental aspects of nature. 

1. Cosmological Correlators Using Tensor Networks :  Inspire-HEP | Google Scholar

2. Lectures on Quantum Field Theory on a Quantum Computer :  Inspire-HEP |   Google Scholar

3. Certified Random Number Generation using Quantum Computers : Inspire-HEP | Google Scholar 

4. Bell inequalities in 2-2 scattering : Inspire-HEP | Google Scholar 

5. Renormalized Circuit Complexity : Inspire-HEP | Google Scholar 

6. Circuit complexity in interacting QFTs and RG flows : Inspire-HEP | Google Scholar 

7. On the superposition principle in interference experiments : Inspire-HEP | Google Scholar 

8. The effect of environmental coupling on tunneling of quasiparticles in Josephson junctions : Inspire-HEP | Google Scholar 

9. Nonclassical Paths in Quantum Interference Experiments : Inspire-HEP | Google Scholar 

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