Skip to main content

A package for adaptive variational quantum computing algorithms

Project description

QMultiAdapt (Undergoing Morphing for Improved Usability)

Welcome to the QMultiAdapt repository! This repository is currently undergoing a significant transformation to enhance the usability and execution of adaptive variational techniques. Our goal is to make the code more accessible and seamlessly executable for users. As part of this ongoing morphing process, we will be appending more adaptive variational techniques and offering further optimizations to improve the overall user experience.


Overview

This repository contains the companion code for the paper Adaptive Variational Simulation for Open Quantum Systems. The core of the adaptive variational algorithm resides in the AVQD directory, which houses the entire package. The root directory is configured as the primary project space, tailored specifically for execution within a cluster computing environment.

Examples and Applications

The QMultiAdapt repository demonstrates the versatility and applicability of the UAVQD (Unrestricted Adaptive Variational Quantum Dynamics) vectorization method across multiple open quantum system scenarios. The examples provided include:

  • Amplitude Damping Channel
  • FMO Complex
  • Dicke Superradiance

Key Insights:

  • The vectorization method excels in handling continuous updates, particularly in complex scenarios like Dicke Superradiance, where the state evolves through numerous possible pathways due to successive emissions.
  • The UAVQD operator pool developed here is well-suited to manage the complexity of multi-qubit systems with polynomial runtime scaling (as opposed to exponential scaling in classical methods).
  • An appendix demonstrates how the scaling can be further improved to linear with a scheme requiring only ( O(\log_2 N) ) gates, given all-to-all connectivity in qubits. Trapped ion quantum computers have shown promise for handling such ansatz constructions.

Note: The repository is under active development and will be incrementally updated. Contributions and feedback are welcome.


Citation

For academic use, please cite our work as mentioned in the related paper Designing variational ansatz for quantum-enabled simulation of non-unitary dynamical evolution an excursion into Dicke supperradiance.

Feel free to reach out with any questions, suggestions, or contributions!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qmultiadapt-1.4.1.tar.gz (3.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

QMultiAdapt-1.4.1-py3-none-any.whl (3.2 kB view details)

Uploaded Python 3

File details

Details for the file qmultiadapt-1.4.1.tar.gz.

File metadata

  • Download URL: qmultiadapt-1.4.1.tar.gz
  • Upload date:
  • Size: 3.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for qmultiadapt-1.4.1.tar.gz
Algorithm Hash digest
SHA256 7fc3409454df6f9b37a86b12ef7cc1da5c47e9d633483a898beaa653209f2a00
MD5 287ffbb664cf65ba6d737de292de02b6
BLAKE2b-256 957bba7aacb0d2bd25615b72078fa20ace29c116345204354c4354323699c169

See more details on using hashes here.

File details

Details for the file QMultiAdapt-1.4.1-py3-none-any.whl.

File metadata

  • Download URL: QMultiAdapt-1.4.1-py3-none-any.whl
  • Upload date:
  • Size: 3.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for QMultiAdapt-1.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b6d7fb387757452e8d02914ff3c9bf65f8490d001be11bfe2ed8c2070f77d7e4
MD5 ef379eae5c1302d545db0bdd4ff5a299
BLAKE2b-256 9af1cb1682895963428e25110a6f0edf8ba476495ad3bd9b44d3a6caa760b99a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page