Experimental configurations & development examples on the ThereminQ platform
docker run --gpus all --device=/dev/dri:/dev/dri -d twobombs/thereminq-tensors:jupyter [-m 16g --memory-swap 320g]This repository is a collection of experimental configurations and development examples on the ThereminQ platform. Below is a summary of the main directories and their contents.
This directory contains a Python script (gemini-query.py) for interacting with the Gemini API. This script is designed to be used within the thereminq-tensor containers.
This directory contains a shell script for running a factorization benchmark.
This directory contains various graphs and visualizations generated by the ThereminQ platform.
This directory contains experimental code related to the Harrow-Hassidim-Lloyd (HHL) algorithm, likely for solving linear systems of equations.
This directory contains a collection of scripts for running high-performance computing (HPC) benchmarks and simulations using the Qrack framework.
This directory contains benchmarks and experiments related to the Ising model, a mathematical model of ferromagnetism. It includes:
ising/ising-c: C/OpenCL implementations.ising/ising-python: Python implementations.ising/pyqrackising: Benchmarks usingpyqrack, including TFIM visualization, protein folding, and factorization.ising/quantinuum: Experiments related to Quantinuum hardware.ising/tfim-qrack: TFIM benchmarks using the Qrack framework.
This directory contains Python scripts for implementing Shor's algorithm for factoring integers, with a focus on running the algorithm in a simulated noisy environment.
This directory contains an experiment related to simulating anti-qubits in a quantum circuit, inspired by the movie "Tenet".
This directory contains a Python script for implementing the ADAPT-QAOA algorithm for solving the Max-Cut problem.
This directory contains a shell script for running a quantum error correction (QEC) experiment using the Mitiq library.
This directory contains a suite of scripts for simulating and analyzing Out-of-Time-Order Correlators (OTOCs), which are used to study quantum chaos and information scrambling.
This directory contains preliminary, highly experimental code for Quantum Harmonic Resonance Frequency (QHRF).
This directory contains a small demo of Quantum Variational Machine Learning (QVML).
This directory contains a large 3D scatter plot visualization.
This directory contains Random Circuit Sampling (RCS) benchmarks, including scripts for running Sycamore patch quadrant simulations.
This directory implements Random Circuit Sampling (RCS) benchmarks utilizing pyqrack for QBDD simulation, quimb for Matrix Product States (MPS), and torch for GPU-accelerated tensor operations.
This directory contains diverse implementations of Variational Quantum Eigensolver (VQE) examples.
This directory contains experimental code for using VQE with Quantum Machine Learning (QML) on Hermitian matrices.
This directory contains a Python script that demonstrates a technique for avoiding barren plateaus in Variational Quantum Algorithms (VQAs) by using dissipation.
This directory contains an experiment using Gemini 2.5 to generate Qiskit code from a PDF for the Variational Quantum Linear Solver (VQLS) algorithm.
Some of the graph output:
VQE H2 FCI
Willow 106x106
QHRF
VQE-QML on Hermitian matrices
older work:
ThereminQ-Bonsai
Note: Qrack was done by Dan Strano - Bonsai was done by Jeroen Bedorf - ThereminQ by Aryan Blaauw





