Rusty Capacitance Model Core
Quantum Dot Constant Capacitance Simulator is a high-performance Python package that leverages the power of Rust and Rayon to provide a fully parallelised and optimised simulation environment for quantum dots with constant capacitance.
This package provides core functionality; it is not intended that the user will interact with it directly.
Features
- Ultra-fast Simulation: Harnesses the speed of Rust and the parallelism of Rayon to deliver lightning-fast simulations.
- Constant Capacitance: Specialized for simulating quantum dots with constant capacitance, allowing precise modelling of charge dynamics.
- User-Friendly: Designed with ease of use in mind, making it accessible to both experts and newcomers in quantum dot simulations.
- Extensive Documentation: Comprehensive documentation and examples to help you get started quickly.
Installation
Install Quantum Dot Constant Capacitance Simulator using pip:
pip install rusty-capacitance-model-core
Usage
This package exposes two functions to be called from python:
ground_state_open- computes the lowest energy state of a quantum dot array with constant capacitance and which is open, such that the total number of changes is not fixed.ground_state_closed- computes the lowest energy state of a quantum dot array with constant capacitance and which is closed, such that the total number of changes is fixed.
The python code to call these functions is as follows:
from rusty_capacitance_model_core import (ground_state_open, ground_state_closed)
import numpy as np
# the dot-dot capacitance matrix
cdd = np.array([
[1, -0.1],
[-0.1, 1]
])
cdd_inv = np.linalg.inv(cdd)
# the dot-gate capacitance matrix
cgd = np.array([
[1, 0.3],
[0.3, 1]
])
# define a matrix of gate voltages to sweep over the first gate
vg = np.stack([np.linspace(-1, 1, 100), np.zeros(100)], axis = -1)
n_charge = 3 # the number of changes to confine in the quantum dot array for the closed case
threshold = 1 # threshold to avoid having to consider all possible charge states, setting it 1 is always correct, however has a computatinal cost.
n_open = ground_state_open(vg, cgd, cdd_inv, threshold)
n_closed = ground_state_closed(vg, n_charge, cgd, cdd, cdd_inv, threshold)
It is not intended the user ever call these functions directly.
There is a pure Python wrapper that provides a more user-friendly interface to this core functionality. See Quantum Dot Constant Capacitance Simulator. This package provides:
- A user-friendly interface to the core functionality.
- Plotting, charge sensing, virtual gate and gate voltage sweeping (1d and 2d) functionality.
- Advanced type checking using pydantic.
- Automated testing including for the functionality in this package.
- More examples.
1 maintainer
Metadata
1 maintainer
Release files for rusty-capacitance-model-core 1.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| rusty_capacitance_model_core-1.4.1.tar.gz | 13.3 kB | Without provenance | Details for rusty_capacitance_model_core-1.4.1.tar.gz |
Built distributions (wheels)
Total release size: 18.2 MB
Release files / rusty_capacitance_model_core-1.4.1.tar.gz
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Release files / rusty_capacitance_model_core-1.4.1-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl
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| Size | 842.0 kB |
| Tags | CPython 3.10 Linux glibc 2.12+ x86-32 |
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Release files / rusty_capacitance_model_core-1.4.1-cp310-cp310-macosx_11_0_arm64.whl
| Download URL | rusty_capacitance_model_core-1.4.1-cp310-cp310-macosx_11_0_arm64.whl |
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Security for rusty-capacitance-model-core 1.4.1
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