MatrixEquations.jl
artiq
| MatrixEquations.jl | artiq | |
|---|---|---|
| 1 | 2 | |
| 78 | 403 | |
| - | 1.0% | |
| 8.2 | 9.6 | |
| 3 months ago | 7 days ago | |
| Julia | Python | |
| MIT License | GNU Lesser General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
MatrixEquations.jl
artiq
-
Senior FPGA Engineer in quantum computing startup, Oxfordshire UK
At Oxford Ionics we're looking for a senior FPGA engineer to work on our ARTIQ-based experimental control system and build our FPGA team. We're using Migen HDL and Python and software engineering knowledge are highly desirable. No prior quantum computing knowledge is required!
-
Show HN: prometeo – a Python-to-C transpiler for high-performance computing
No, I mean nanosecond and picosecond precision real-time systems. Exhibit A: https://github.com/m-labs/artiq
What are some alternatives?
prometeo - An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
quantumcat - quantumcat is a platform-independent, open-source, high-level quantum computing library, which allows the quantum community to focus on developing platform-independent quantum applications without much effort.
blasfeo - Basic linear algebra subroutines for embedded optimization
py2many - Transpiler of Python to many other languages
ControlSystems.jl - A Control Systems Toolbox for Julia
acados - Fast and embedded solvers for nonlinear optimal control
StaticCompiler.jl - Compiles Julia code to a standalone library (experimental)
PhysAI - PhysAI is an open-source AI project that aims to link quantum mechanics and general relativity by generating, testing, and improving physical equations. It leverages machine learning, integrates with existing research, generates LaTeX documents, and encourages collaborative learning. It relies on community-driven contributions to improve accuracy.
hpipm - High-performance interior-point-method QP and QCQP solvers
cqasm_development_interface - Framework for writing and running cQASM files against any Quantum Inspire's emulator backend via their API