Chemical calculation software / Finite element method simulator for predicting the performance of spin qubits before manufacturing.
By predicting performance, significant savings in time and cost can be expected, allowing for the exploration of more designs compared to traditional methods. QTCAD uses nonlinear Poisson, Schrödinger, and many-body solvers to calculate the energy levels of electrons or holes confined in envelope functions and nanostructures within the framework of k·p theory. 【Main Features】 - Electrostatic tool for semiconductor quantum dot confinement potentials - Many-body Schrödinger solver for electrons and holes - Governing equation solver for quantum transport calculations in sequential tunneling (Coulomb blockade) - Nonequilibrium Green's function method solver for nonequilibrium quantum statistics and quantum transport in 2-probe devices - Efficient workflow for charge stability diagrams of small quantum dot systems, including cross-capacitance effects - Quantum mechanical treatment of magnetism (orbital and Zeeman effects) and spin-orbit coupling - Strain solver for calculating conduction band edge shifts and valence band mixing effects for electrons or holes
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【Other Functions】 - 3D / 1D mixed quantum well Schrödinger-Poisson solver - Workflow for electronic and hole electric dipole spin resonance (EDSR) interfacing with QuTip - Tutorial on tunnel coupling and exchange interaction in double quantum dots - Simulation at ultra-low temperatures (sub-K) using adaptive grids - Arbitrary 1D / 2D / 3D device structures enabling research on various practical designs
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**Specialized for Spin Qubits** Calculations of physical quantities related to spin qubit systems are possible. Examples: Eigenenergy, envelope functions of confined electrons and holes, many-body energy, chemical potential, charge stability diagrams, Rabi oscillations, etc. **Support for 2D and 3D Structures** CAD models for arbitrary devices and corresponding Lagrange meshes (Gmsh) can be generated and imported into QTCAD. **Adaptive Mesh** The adaptive mesh allows for the prediction of the electrostatic properties of spin qubits at ultra-low temperatures (below 1K). This is a feature not found in other commercial TCAD software. **Easy Operation** GDS files can be directly imported via a Python UI. Additionally, heterostructures can be stacked along the growth direction. The Python API allows for code shortening and seamless integration with third-party software for data visualization and analysis. Furthermore, it can collaborate with other quantum ecosystems like QuTip.
Detailed information
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Design of gate-type quantum bits
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Equilibrium hole density of GAAFET (Gate-All-Around Field-Effect Transistor)
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The relationship between the number of occupied quantum bits and the charge stability diagram.
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