Quantum Circuit Optimizer based on SVD operation
☆13Jan 23, 2023Updated 3 years ago
Alternatives and similar repositories for qfactor
Users that are interested in qfactor are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A semi-agnostic ansatz with variable structure for variational quantum algorithms. Published in Quantum Machine Intelligence (2023). Opti…☆11Jan 4, 2026Updated 5 months ago
- Book reading☆16Jun 5, 2020Updated 6 years ago
- Code for implementing the quantum log-likelihood using PennyLane and TensorFlow.☆11Dec 10, 2019Updated 6 years ago
- Interface between Openfermion and Dirac to perform relativistic quantum chemistry calculations simulated on a quantum computer☆14Aug 12, 2022Updated 3 years ago
- Quantum Gate Language (QGL) is a domain specific language embedded in python for specifying quantum gate sequences.☆33May 21, 2026Updated 3 weeks ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A plugin for Strawberry Fields and OpenFermion, providing methods of simulating bosonic Hamiltonians directly in Strawberry Fields☆32Jul 6, 2023Updated 2 years ago
- Quantum Accelerated Genome Sequencing☆11Sep 7, 2021Updated 4 years ago
- Qiskit Application Benchmarks☆27Aug 16, 2023Updated 2 years ago
- ☆11Nov 21, 2022Updated 3 years ago
- ☆20Oct 1, 2018Updated 7 years ago
- Jupyter notebook walking through many features of BQSKit☆22Aug 31, 2025Updated 9 months ago
- Qiskit camp 2019 hackathon: Using QAOA for solving the graph coloring problem☆11May 21, 2019Updated 7 years ago
- Implementation of a new Quantum Oracle for solving the Max-Cut Problem with Grover Search Algorithm☆11Sep 16, 2024Updated last year
- Automated system for python-based experiments☆34Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- My solutions to problems in Arora & Barak's textbook Computational Complexity