Rahul Banerjee

ORCID: 0009-0001-0775-3713
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About
Contact & Profiles
Research Areas
  • Quantum Computing Algorithms and Architecture
  • Parallel Computing and Optimization Techniques
  • Quantum-Dot Cellular Automata
  • Low-power high-performance VLSI design
  • Quantum many-body systems

Technical University of Munich
2022-2024

Abstract Hamiltonian simulation, i.e. simulating the real time evolution of a target quantum system, is natural application computing. Trotter-Suzuki splitting methods can generate corresponding circuits; however, faithful approximation lead to relatively deep circuits. Here we start from insight that for translation invariant systems, gates in such circuit topologies be further optimized on classical computers decrease depth and/or increase accuracy. We employ tensor network techniques and...

10.1088/1751-8121/ad2d6e article EN cc-by Journal of Physics A Mathematical and Theoretical 2024-02-27

Hamiltonian simulation, i.e., simulating the real time evolution of a target quantum system, is natural application computing. Trotter-Suzuki splitting methods can generate corresponding circuits; however, faithful approximation lead to relatively deep circuits. Here we start from insight that for translation invariant systems, gates in such circuit topologies be further optimized on classical computers decrease depth and/or increase accuracy. We employ tensor network techniques and devise...

10.48550/arxiv.2212.07556 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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