Profile Details

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Hire Dr. Anirban M.

United States

USD 25 /hr

Postdoc in Quantum Computation, Machine learning at Ames laboratory, US 6+ years experience in scientific computing

Profile Summary

Keywords: Quantum computing, Machine learning, material science, Quantum circuits, correlated systems, entanglement Present work: Development of novel Hybrid quantum-classical algorithms for simulating advanced quantum materials on near term quantum computing architectures. Past work: Developed a novel scaling approach for studying complex Quantum Hamiltonian models on finite sized lattices. This led to studying correlated phases of electrons and spins, like spin liquid, superconductors, Mott insulators.

Subject Matter Expertise

• ★ Quantum Chemistry
• ★ Quantum Computing
• ★ Machine Learning
• ☆ Quantum Mechanics
• ☆ Computational Physics

Services

• Writing
• Consulting
• Data & AI
• Product Development

Writing Medical Writing, Technical Writing, General Proofreading & Editing

Consulting Scientific and Technical Consulting

Data & AI Algorithm Design-Non ML, Data Visualization

Product Development Formulation

Work Experience

Scientists

Tata Consultancy Services Private Limited

June 2022 - Present

Ames Laboratory

October 2020 - Present

Indian Institute of Science Education and Research Kolkata

August 2014 - September 2020

Education

Indian Institute of Science Education and Research Kolkata

August 2009 - August 2014

Certifications

• Certification details not provided.

Publications

PREPRINT

(2021). Adaptive Variational Quantum Imaginary Time Evolution Approach for Quantum Chemistry Calculations.

JOURNAL ARTICLE

Anirban Mukherjee and Siddhartha Lal(2020). Holographic unitary renormalization group for correlated electrons - I: A tensor network approach . Nuclear Physics B. 960. p. 115170. Elsevier {BV}

Anirban Mukherjee and Siddhartha Lal(2020). Holographic unitary renormalization group for correlated electrons - II: Insights on fermionic criticality . Nuclear Physics B. 960. p. 115163. Elsevier {BV}

Anirban Mukherjee and Siddhartha Lal(2020). Scaling theory for Mott–Hubbard transitions: I. T = 0 phase diagram of the 1/2-filled Hubbard model . New Journal of Physics. 22. (6). p. 063007. {IOP} Publishing

Anirban Mukherjee and Siddhartha Lal(2020). Scaling theory for Mott–Hubbard transitions-II: quantum criticality of the doped Mott insulator . New Journal of Physics. 22. (6). p. 063008. {IOP} Publishing

Santanu Pal and Anirban Mukherjee and Siddhartha Lal(2019). Correlated spin liquids in the quantum kagome antiferromagnet at finite field: a renormalization group analysis . New Journal of Physics. 21. (2). p. 023019. {IOP} Publishing

Mukherjee, Anirban and Lal, Siddhartha(2018). Scaling theory for Mott-Hubbard transitions. arXiv preprint arXiv:1802.06528.