Amit Singh is a postdoctoral researcher working on quantum transport, oxide membranes, and low‑dimensional materials. His expertise spans cryogenic measurements (<1 K), device fabrication, DFT simulations, tensor‑network modeling, and neuromorphic device physics. He has research experience across India, Taiwan, South Korea, Saudi Arabia, the UK, and Denmark.
Skills: Quantum Transport: low‑T (<1 K), high magnetic fields, lock‑in techniques, Device Fabrication: lithography, material transfer, SEM/FIB, 2D materials, Simulation: DFT, ANSYS FEA, MATLAB, Python, Computation: Tensor networks (uMPS, TDVP), QUBO/Ising modeling, CAD: SolidWorks, AutoCAD, 3D printing
I work as a postdoctoral researcher developing quantum technologies based on twisted functional oxide membranes. My research focuses on how twist‑engineered oxide heterostructures generate emergent electronic behaviour, including periodic dislocation networks, correlated transport phenomena, and memristive functionalities. By combining precision quantum transport measurements, twist‑controlled membrane fabrication, and nanoscale characterization, I investigate how oxide moiré architectures can be engineered to enable next‑generation quantum and neuromorphic devices.
As a visiting research student, I worked with Prof. Nazek El‑Atab on developing neuromorphic computing architectures based on memristive oxide devices. My work focused on designing and characterizing device structures that emulate synaptic behavior, studying switching dynamics, and exploring how material engineering can enable low‑power, brain‑inspired computation. I contributed to understanding the underlying device physics and developing the theoretical models that describe memristive switching dynamics and synaptic behavior in oxide‑based neuromorphic elements.
Taught second‑year undergraduate physics laboratory modules on Amplifiers & Feedback and Microcontrollers & Sensors. Provided academic guidance and support to students, assessed laboratory performance, and evaluated coursework, including assignments, exam papers, and oral presentations.
I assisted in computational and experimental studies of nanoscale transport in single‑molecule junctions and analyzed the Quantum Spin Hall effect in monolayer stanene. I also collaborated with National Cheng Kung University on oxygen‑evolution‑reaction (OER) studies using high‑entropy alloys.
I worked on parallelizing computational workloads using HPC systems and contributed to a traffic‑congestion prediction project using quantum‑annealing‑inspired methods. This included processing real‑time traffic data from Taichung and developing optimization strategies—one of the primary contributors to the Traffic congestion prediction project [Link].
I investigate quantum transport phenomena in layered van der Waals materials and their heterostructures, focusing on low‑temperature (<1 K) and high‑magnetic‑field measurements. My work involves device design, fabrication, and theoretical modeling to uncover emergent electronic behavior relevant to next‑generation quantum technologies.
Worked on Several projects, including nanomaterials, DQPTs, nano-sensors, and nano-FETs; my main focus was on studying the "Real-time Dynamics of Thirring 1+1 model".
As a foreign exchange student, I joined the Computational Materials Lab to study the nanoscopic behavior of matter, combining coursework in Korean language with research in computational materials science.
My research focuses on developing quantum technologies based on twist‑engineered functional oxides, where controlled lattice twisting generates periodic dislocation networks and emergent electronic behavior. I work closely with collaborators to design and fabricate twisted oxide membranes, perform low‑temperature quantum transport measurements, and analyze how moiré‑like oxide architectures give rise to correlated conduction, memristive responses, and tunable quantum functionalities relevant to next‑generation neuromorphic and quantum devices.
My research focuses on probing quantum transport phenomena in layered 2D materials and their heterostructures, particularly low-temperature measurements (<1 K) and high magnetic fields, device designs, and theoretical modeling to uncover emergent quantum behaviors with relevance to future quantum technologies.
I use density functional theory (DFT) to study the electronic, dielectric, and sensing properties of two‑dimensional materials and their heterostructures. This includes analyzing band structures, charge transfer, adsorption energetics, and dielectric responses under external fields.
I explored real‑time dynamics and dynamical quantum phase transitions (DQPTs) in 1D quantum field models using tensor‑network methods. This work involved examining the real‑time eigenvalue spectrum, changes in ground‑state tensors under unitary evolution, entanglement entropy growth, and return‑rate behavior using uniform MPS and TDVP.
I studied the electronic behavior of graphene/MoS₂ heterostructures under gated electric fields, focusing on van der Waals interactions, interlayer coupling, and charge‑transport characteristics. I also developed and simulated programs to analyze I–V characteristics in nanoscale semiconductor devices.
I contributed to developing quantum‑inspired optimization algorithms based on QUBO and Ising‑model formulations. This included research related to quantum annealing and its application to real‑world optimization problems.
I developed quantum oscillator models using superpositions of displaced squeezed states and implemented quantum error‑correction schemes based on Gottesman–Kitaev–Preskill (GKP) codes.
Graphene Conference Student Grant — San Sebastián, Spain (June 2025)
APS FGSA Student Award — American Physical Society (March 2025)
Dean’s Doctoral Fellowship — University of Manchester (2022–2026)
Visiting Researcher Fellowship — Konkuk University (2022 and 2025)
Visiting Fellowship — Konkuk University (2019)
Undergraduate Project Fellowship — NCTU (2018–2021)
Award for Outstanding Students — NCTU (2017–2021)