Qᴜᴀʟᴛʀᴀɴ is a Python library for expressing and analyzing Fault Tolerant Quantum algorithms.

Quantum Resource Estimate Format

A non-Clifford gate cost assessment library of quantum phase estimation algorithms for quantum chemistry

Multi-code QEC resource estimator for Qiskit circuits

A fault-tolerant resource compiler: map a Clifford+T circuit to a surface-code lattice-surgery layout and optimise the magic-state factory ratio to minimise spacetime volume.

Python-based demonstration of a mineral resource estimation workflow using synthetic drill-hole data, showcasing variography, ordinary kriging, block modelling, and resource classification for educational and portfolio purposes.

A browser-native platform for estimating the physical resources required to run quantum algorithms on fault-tolerant quantum computers, powered by Microsoft's Q# WebAssembly engine.

CoreElement.AI public reference — JORC, NI 43-101, KAZRC, SAMREC, PERC compliance mapping, Soviet ГКЗ → JORC conversion, AI mineral-exploration platform comparison. Companion to https://coreelement.ai

Lightweight, exact surface-code quantum error correction overhead calculator. How many physical qubits does one logical qubit cost? By Tech4Biz Solutions.

Transparent Python workflow for experimental variograms, simple kriging, and block bootstrap uncertainty in resource-style grids.

Quantitative resource and cost modelling for fault-tolerant quantum computing, including a Shor / RSA-2048 physical-qubit estimate.

Microsoft Azure Quantum is Microsoft's cloud quantum computing service — an open, multi-vendor platform that provides access to quantum hardware from IonQ, Quantinuum, Pasqal, and Rigetti alongside Microsoft's own Q# programming language, Quantum Development Kit (QDK), and post-layout fault-tolerant Resource Estimator. The Azure Quantum Workspace…

Implemented a large-scale quantum algorithm that breaks a 256-bit Elliptic Curve Cryptography and analyzed the applicability of the algorithm in the presence of fault-tolerant quantum computers.